text:
@article{GagolewskiBibliometricimpactassessment2011,
  title = {Bibliometric Impact Assessment with {{R}} and the {{CITAN}} Package},
  volume = {5},
  issn = {1751-1577},
  url = {http://www.sciencedirect.com/science/article/pii/S1751157711000708},
  doi = {10.1016/j.joi.2011.06.006},
  abstract = {In this paper CITAN, the CITation ANalysis package for R statistical computing environment, is introduced. The main aim of the software is to support bibliometricians with a tool for preprocessing and cleaning bibliographic data retrieved from SciVerse Scopus and for calculating the most popular indices of scientific impact.

To show the practical usability of the package, an exemplary assessment of authors publishing in the fields of scientometrics and webometrics is performed.},
  number = {4},
  journaltitle = {Journal of Informetrics},
  shortjournal = {Journal of Informetrics},
  urldate = {2015-08-21},
  date = {2011-10},
  pages = {678--692},
  keywords = {Bibliometrics,Citation analysis,Data analysis software,Egghe's g index,Hirsch's h index,Quality control in science,SciVerse Scopus},
  author = {Gagolewski, Marek},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/BBXWG2T6/Gagolewski_2011_Bibliometric impact assessment with R and the CITAN package.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/VBQQW4XB/S1751157711000708.html}
}

@inproceedings{VomBrockeReconstructinggiantimportance2009,
  title = {Reconstructing the Giant: {{On}} the Importance of Rigour in Documenting the Literature Search Process.},
  volume = {9},
  url = {http://webdocs.uni.li/public/04046767.PDF},
  shorttitle = {Reconstructing the Giant},
  booktitle = {{{ECIS}}},
  urldate = {2017-04-07},
  date = {2009},
  pages = {2206--2217},
  author = {Vom Brocke, Jan and Simons, Alexander and Niehaves, Bjoern and Riemer, Kai and Plattfaut, Ralf and Cleven, Anne and {others}},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/KFKPF2AM/04046767.pdf}
}

@article{Furrerstructureevolutionstrategic2008,
  langid = {english},
  title = {The Structure and Evolution of the Strategic Management Field: {{A}} Content Analysis of 26 Years of Strategic Management Research},
  volume = {10},
  issn = {1468-2370},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/j.1468-2370.2007.00217.x/abstract},
  doi = {10.1111/j.1468-2370.2007.00217.x},
  shorttitle = {The Structure and Evolution of the Strategic Management Field},
  abstract = {This paper analyses 26 years of strategic management research published in Academy of Management Journal, Academy of Management Review, Administrative Science Quarterly and Strategic Management Journal. Through a content analysis, it studies the relationships between the subfields of strategic management. A multiple correspondence analysis provides a map of keywords and authors, and a framework to track this literature over the 26-year period. A discussion of future pathways in the strategic management literature is also provided.},
  number = {1},
  journaltitle = {International Journal of Management Reviews},
  urldate = {2017-06-26},
  date = {2008-03-01},
  pages = {1--23},
  author = {Furrer, Olivier and Thomas, Howard and Goussevskaia, Anna},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/4QQJSQTM/Furrer et al_2008_The structure and evolution of the strategic management field.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/CQIV93DW/Furrer et al_2008_The structure and evolution of the strategic management field.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/76ZEM95W/abstract.html;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/WT66JVZ2/abstract.html}
}

@article{BerghpredictorsSMJarticle2006,
  langid = {english},
  title = {Some Predictors of {{SMJ}} Article Impact},
  volume = {27},
  issn = {1097-0266},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/smj.504/abstract},
  doi = {10.1002/smj.504},
  abstract = {Article impact is becoming an increasingly popular metric for assessing a scholar's influence, yet little is known about its properties or the factors that affect it. This study tests whether author, article, and methodological attributes influence the impact of SMJ articles, defined as summed counts of article citations. Findings reveal that authors having fewer, more-often cited articles tended to have SMJ articles that received the most citations. In addition, whether an article appears in a regular or a special issue is not a stable predictor of its impact. Moreover, empirical articles that test primary data, control for more threats to internal validity, and have higher statistical power tend to receive more citations. Further, an article's long-term impact oftentimes becomes apparent shortly after its publication. Overall, the findings provide new insights into the determinants of impact and its temporal qualities and help explain some of the differences between high and average impact articles. The findings also underscore the need for transparency between author publication strategies (article volume, impact) and the requirements of his/her institution. Implications for authors, reviewers, editors, and administrative evaluation are offered. Copyright © 2005 John Wiley \& Sons, Ltd.},
  number = {1},
  journaltitle = {Strategic Management Journal},
  shortjournal = {Strat. Mgmt. J.},
  urldate = {2017-06-26},
  date = {2006-01-01},
  pages = {81--100},
  keywords = {Citation analysis,strategic management research,article impact},
  author = {Bergh, Donald D. and Perry, John and Hanke, Ralph},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/BXSHQEJH/Bergh et al_2006_Some predictors of SMJ article impact.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/6SBWNUB6/abstract.html}
}

@article{FriessWatsonInundationClasses2016,
  langid = {english},
  title = {J.{{G}}. {{Watson}}, {{Inundation Classes}}, and Their {{Influence}} on {{Paradigms}} in {{Mangrove Forest Ecology}}},
  issn = {0277-5212, 1943-6246},
  url = {https://link-springer-com.proxy.bib.uottawa.ca/article/10.1007/s13157-016-0747-6},
  doi = {10.1007/s13157-016-0747-6},
  abstract = {The influence of tidal inundation on mangrove vegetation species distribution is a key concept in mangrove ecology, and is especially important when considering the vulnerability of mangroves to predi},
  journaltitle = {Wetlands},
  shortjournal = {Wetlands},
  urldate = {2017-06-29},
  date = {2016-02-13},
  pages = {1--11},
  author = {Friess, D. A.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/CEC62J5Z/Friess_2016_J.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/CEW22KZR/10.html}
}

@article{BrookerFacilitationplantcommunities2008,
  langid = {english},
  title = {Facilitation in Plant Communities: The Past, the Present, and the Future},
  volume = {96},
  issn = {1365-2745},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/j.1365-2745.2007.01295.x/abstract},
  doi = {10.1111/j.1365-2745.2007.01295.x},
  shorttitle = {Facilitation in Plant Communities},
  abstract = {* 1Once neglected, the role of facilitative interactions in plant communities has received considerable attention in the last two decades, and is now widely recognized. It is timely to consider the progress made by research in this field.
* 2We review the development of plant facilitation research, focusing on the history of the field, the relationship between plant–plant interactions and environmental severity gradients, and attempts to integrate facilitation into mainstream ecological theory. We then consider future directions for facilitation research.
* 3With respect to our fundamental understanding of plant facilitation, clarification of the relationship between interactions and environmental gradients is central for further progress, and necessitates the design and implementation of experiments that move beyond the clear limitations of previous studies.
* 4There is substantial scope for exploring indirect facilitative effects in plant communities, including their impacts on diversity and evolution, and future studies should connect the degree of non-transitivity in plant competitive networks to community diversity and facilitative promotion of species coexistence, and explore how the role of indirect facilitation varies with environmental severity.
* 5Certain ecological modelling approaches (e.g. individual-based modelling), although thus far largely neglected, provide highly useful tools for exploring these fundamental processes.
* 6Evolutionary responses might result from facilitative interactions, and consideration of facilitation might lead to re-assessment of the evolution of plant growth forms.
* 7Improved understanding of facilitation processes has direct relevance for the development of tools for ecosystem restoration, and for improving our understanding of the response of plant species and communities to environmental change drivers.
* 8Attempts to apply our developing ecological knowledge would benefit from explicit recognition of the potential role of facilitative plant–plant interactions in the design and interpretation of studies from the fields of restoration and global change ecology.
* 9Synthesis: Plant facilitation research provides new insights into classic ecological theory and pressing environmental issues. Awareness and understanding of facilitation should be part of the basic ecological knowledge of all plant ecologists.},
  number = {1},
  journaltitle = {Journal of Ecology},
  urldate = {2017-07-01},
  date = {2008-01-01},
  pages = {18--34},
  keywords = {ecological theory,environmental change,plant communities,positive plant interactions,review,disturbance,competition,facilitation,environmental gradients,stress},
  author = {Brooker, Rob W. and Maestre, Fernando T. and Callaway, Ragan M. and Lortie, Christopher L. and Cavieres, Lohengrin A. and Kunstler, Georges and Liancourt, Pierre and Tielbörger, Katja and Travis, Justin M. J. and Anthelme, Fabien and Armas, Cristina and Coll, Lluis and Corcket, Emmanuel and Delzon, Sylvain and Forey, Estelle and Kikvidze, Zaal and Olofsson, Johan and Pugnaire, Francisco and Quiroz, Constanza L. and Saccone, Patrick and Schiffers, Katja and Seifan, Merav and Touzard, Blaize and Michalet, Richard},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/2ACWCT2S/Brooker et al_2008_Facilitation in plant communities.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/ZB3953D5/abstract.html}
}

@article{GrahamEvolutionEcologicalIdeas2002,
  langid = {english},
  title = {On the {{Evolution}} of {{Ecological Ideas}}: {{Paradigms}} and {{Scientific Progress}}},
  volume = {83},
  issn = {1939-9170},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1890/0012-9658(2002)083[1481:OTEOEI]2.0.CO;2/abstract},
  doi = {10.1890/0012-9658(2002)083[1481:OTEOEI]2.0.CO;2},
  shorttitle = {On the {{Evolution}} of {{Ecological Ideas}}},
  abstract = {We introduce a heuristic model for studying the evolution of ecological ideas based on Thomas Kuhn's concept of the development of scientific paradigms. This model is useful for examining processes leading to ecological progress and the elaboration of ecological theories. Over time, ecological knowledge diverges and evolves as data are collected that either refute or support the current trajectories of accepted paradigms. As a result, the direction of ecological research continuously branches out into new domains leading to increased ecological understanding. Unfortunately, heightened ecological understanding also builds impediments to future progress. Increased specialization and the parallel evolution of seemingly independent subdisciplines generally compel researchers to become increasingly canalized. Specialization also accelerates the expansion of the ecological literature, making it difficult for researchers to track developments in their own subdisciplines, let alone the general field of ecology. Furthermore, specialization inherently focuses attention on contemporary research and hastens the erasure of memory of historical contributions to modern ecology. As a result, contemporary ecologists are in danger of losing touch with their historical roots and face a greater likelihood of recycling ideas and impeding real scientific momentum. Enhancing our historical perspective on the evolution of ecological ideas will be key in overcoming the negative consequences of progress and safeguarding the continued advancement of ecology.},
  number = {6},
  journaltitle = {Ecology},
  urldate = {2017-07-08},
  date = {2002-06-01},
  pages = {1481--1489},
  keywords = {Ecology,ecological knowledge,evolution of ideas,evolution of theories,historical perspective,historical roots,modern ecology,paradigms,scientific progress,scientific revolution,specialization,theories},
  author = {Graham, Michael H. and Dayton, Paul K.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/2GT6TJR8/Graham_Dayton_2002_On the Evolution of Ecological Ideas.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/6HRQM4ZT/abstract.html}
}

@article{ByrnesInvestigatingrelationshipbiodiversity2014,
  langid = {english},
  title = {Investigating the Relationship between Biodiversity and Ecosystem Multifunctionality: Challenges and Solutions},
  volume = {5},
  issn = {2041-210X},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/2041-210X.12143/abstract},
  doi = {10.1111/2041-210X.12143},
  shorttitle = {Investigating the Relationship between Biodiversity and Ecosystem Multifunctionality},
  abstract = {* Extensive research shows that more species-rich assemblages are generally more productive and efficient in resource use than comparable assemblages with fewer species. But the question of how diversity simultaneously affects the wide variety of ecological functions that ecosystems perform remains relatively understudied. It presents several analytical and empirical challenges that remain unresolved. In particular, researchers have developed several disparate metrics to quantify multifunctionality, each characterizing different aspects of the concept and each with pros and cons.

* We compare four approaches to characterizing multifunctionality and its dependence on biodiversity, quantifying (i) magnitudes of multiple individual functions separately, (ii) the extent to which different species promote different functions, (iii) the average level of a suite of functions and (iv) the number of functions that simultaneously exceeds a critical threshold.

* We illustrate each approach using data from the pan-European BIODEPTH experiment and the R multifunc package developed for this purpose, evaluate the strengths and weaknesses of each approach and implement several methodological improvements.

* We conclude that an extension of the fourth approach that systematically explores all possible threshold values provides the most comprehensive description of multifunctionality to date. We outline this method and recommend its use in future research.},
  number = {2},
  journaltitle = {Methods in Ecology and Evolution},
  shortjournal = {Methods Ecol Evol},
  urldate = {2017-09-01},
  date = {2014-02-01},
  pages = {111--124},
  keywords = {Community ecology,biodiversity and ecosystem function,multifunctionality},
  author = {Byrnes, Jarrett E. K. and Gamfeldt, Lars and Isbell, Forest and Lefcheck, Jonathan S. and Griffin, John N. and Hector, Andy and Cardinale, Bradley J. and Hooper, David U. and Dee, Laura E. and Emmett Duffy, J.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/FWGCDNZX/Byrnes et al_2014_Investigating the relationship between biodiversity and ecosystem.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/KHNDG3P2/abstract.html}
}

@article{MorrisMappingresearchspecialties2008,
  langid = {english},
  title = {Mapping Research Specialties},
  volume = {42},
  issn = {1550-8382},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/aris.2008.1440420113/abstract},
  doi = {10.1002/aris.2008.1440420113},
  number = {1},
  journaltitle = {Annual Review of Information Science and Technology},
  shortjournal = {Ann. Rev. Info. Sci. Tech.},
  urldate = {2017-10-23},
  date = {2008-01-01},
  pages = {213--295},
  author = {Morris, Steven A. and Van der Veer Martens, Betsy},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/53BCN5PG/Morris_Van der Veer Martens_2008_Mapping research specialties.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/5SZKRGP5/abstract.html}
}

@article{Rodriguez-Ledesmaoverviewanimalscience2015,
  langid = {english},
  title = {An Overview of Animal Science Research 1945–2011 through Science Mapping Analysis},
  volume = {132},
  issn = {1439-0388},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/jbg.12124/abstract},
  doi = {10.1111/jbg.12124},
  abstract = {The conceptual structure of the field of Animal Science (AS) research is examined by means of a longitudinal science mapping analysis. The whole of the AS research field is analysed, revealing its conceptual evolution. To this end, an automatic approach to detecting and visualizing hidden themes or topics and their evolution across a consecutive span of years was applied to AS publications of the JCR category ‘Agriculture, Dairy \& Animal Science’ during the period 1945–2011. This automatic approach was based on a coword analysis and combines performance analysis and science mapping. To observe the conceptual evolution of AS, six consecutive periods were defined: 1945–1969, 1970–1979, 1980–1989, 1990–1999, 2000–2005 and 2006–2011. Research in AS was identified as having focused on ten main thematic areas: ANIMAL-FEEDING, SMALL-RUMINANTS, ANIMAL-REPRODUCTION, DAIRY-PRODUCTION, MEAT-QUALITY, SWINE-PRODUCTION, GENETICS-AND-ANIMAL-BREEDING, POULTRY, ANIMAL-WELFARE and GROWTH-FACTORS-AND-FATTY-ACIDS. The results show how genomic studies gain in weight and integrate with other thematic areas. The whole of AS research has become oriented towards an overall framework in which animal welfare, sustainable management and human health play a major role. All this would affect the future structure and management of livestock farming.},
  number = {6},
  journaltitle = {Journal of Animal Breeding and Genetics},
  shortjournal = {J. Anim. Breed. Genet.},
  urldate = {2017-10-23},
  date = {2015-12-01},
  pages = {475--497},
  keywords = {Animal science,bibliometric network,coword analysis,h-index,knowledge visualisation,science mapping analysis},
  author = {Rodriguez-Ledesma, A. and Cobo, M.j. and Lopez-Pujalte, C. and Herrera-Viedma, E.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/I98NIRNZ/Rodriguez-Ledesma et al_2015_An overview of animal science research 1945–2011 through science mapping.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/GXHV9IX5/abstract.html}
}

@article{BoyackCreationhighlydetailed2014,
  langid = {english},
  title = {Creation of a Highly Detailed, Dynamic, Global Model and Map of Science},
  volume = {65},
  issn = {2330-1643},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/asi.22990/abstract},
  doi = {10.1002/asi.22990},
  abstract = {The majority of the effort in metrics research has addressed research evaluation. Far less research has addressed the unique problems of research planning. Models and maps of science that can address the detailed problems associated with research planning are needed. This article reports on the creation of an article-level model and map of science covering 16 years and nearly 20 million articles using cocitation-based techniques. The map is then used to define discipline-like structures consisting of natural groupings of articles and clusters of articles. This combination of detail and high-level structure can be used to address planning-related problems such as identification of emerging topics and the identification of which areas of science and technology are innovative and which are simply persisting. In addition to presenting the model and map, several process improvements that result in greater accuracy structures are detailed, including a bibliographic coupling approach for assigning current papers to cocitation clusters and a sequential hybrid approach to producing visual maps from models.},
  number = {4},
  journaltitle = {Journal of the Association for Information Science and Technology},
  shortjournal = {J Assn Inf Sci Tec},
  urldate = {2017-10-23},
  date = {2014-04-01},
  pages = {670--685},
  keywords = {citation networks,co-citation analysis,dynamic systems},
  author = {Boyack, Kevin W. and Klavans, Richard},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/3MASBB6E/Boyack_Klavans_2014_Creation of a highly detailed, dynamic, global model and map of science.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/KNUWPPXU/abstract.html}
}

@article{VeldenMappingtemporalevolution2014a,
  langid = {english},
  title = {Mapping the Temporal Evolution of Scientific Community Structures},
  volume = {51},
  issn = {1550-8390},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/meet.2014.14505101143/abstract},
  doi = {10.1002/meet.2014.14505101143},
  abstract = {We present results from tracking the temporal evolution of community structures within a research specialty. This extends our previous work in which we generated static community maps that combine co-author networks and direct citation networks derived from 20-years of publications in the research specialty. Here, we explore how the temporal evolution of these maps can be used to provide insights into the historical evolution of a field as well as extract more accurate snapshots of the community structures at a given point in time. Such time resolved mappings are an important component in our mixed method approach that integrates network analysis with ethnographic field studies to investigate field-specific communication and collaboration behaviors in scientific communities (Velden \& Lagoze 2013). Evaluating these maps in qualitative interviews with field experts will be the next step in our research.},
  number = {1},
  journaltitle = {Proceedings of the American Society for Information Science and Technology},
  shortjournal = {Proc. Am. Soc. Info. Sci. Tech.},
  urldate = {2017-10-23},
  date = {2014-01-01},
  pages = {1--4},
  keywords = {Scientific Community,Temporal Evolution,Science Maps,Network analysis},
  author = {Velden, Theresa and Yu, Kan and Yan, Shiyan and Lagoze, Carl},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/47M2PNF3/Velden et al_2014_Mapping the temporal evolution of scientific community structures.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/C923IWFH/abstract.html}
}

@article{VeldenMappingtemporalevolution2014,
  langid = {english},
  title = {Mapping the Temporal Evolution of Scientific Community Structures},
  volume = {51},
  issn = {1550-8390},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/meet.2014.14505101143/abstract},
  doi = {10.1002/meet.2014.14505101143},
  abstract = {We present results from tracking the temporal evolution of community structures within a research specialty. This extends our previous work in which we generated static community maps that combine co-author networks and direct citation networks derived from 20-years of publications in the research specialty. Here, we explore how the temporal evolution of these maps can be used to provide insights into the historical evolution of a field as well as extract more accurate snapshots of the community structures at a given point in time. Such time resolved mappings are an important component in our mixed method approach that integrates network analysis with ethnographic field studies to investigate field-specific communication and collaboration behaviors in scientific communities (Velden \& Lagoze 2013). Evaluating these maps in qualitative interviews with field experts will be the next step in our research.},
  number = {1},
  journaltitle = {Proceedings of the American Society for Information Science and Technology},
  shortjournal = {Proc. Am. Soc. Info. Sci. Tech.},
  urldate = {2017-10-23},
  date = {2014-01-01},
  pages = {1--4},
  keywords = {Scientific Community,Temporal Evolution,Science Maps,Network analysis},
  author = {Velden, Theresa and Yu, Kan and Yan, Shiyan and Lagoze, Carl},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/M3DVMHIG/Velden et al_2014_Mapping the temporal evolution of scientific community structures.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/RK6MZPJZ/abstract.html}
}

@article{YanOverlayingcommunitiestopics2012,
  langid = {english},
  title = {Overlaying Communities and Topics: An Analysis on Publication Networks},
  volume = {90},
  issn = {0138-9130, 1588-2861},
  url = {https://link-springer-com.proxy.bib.uottawa.ca/article/10.1007/s11192-011-0531-6},
  doi = {10.1007/s11192-011-0531-6},
  shorttitle = {Overlaying Communities and Topics},
  abstract = {Two layers of enriched information are constructed for communities: a paper-to-paper network based on shared author relations and a paper-to-paper network based on shared word relations. k-means and V},
  number = {2},
  journaltitle = {Scientometrics},
  shortjournal = {Scientometrics},
  urldate = {2017-10-23},
  date = {2012-02-01},
  pages = {499--513},
  author = {Yan, Erjia and Ding, Ying and Jacob, Elin K.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/95Q5VCQJ/Yan et al_2012_Overlaying communities and topics.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/KHI9RMGP/10.html}
}

@article{CoboSciMATnewscience2012,
  langid = {english},
  title = {{{SciMAT}}: {{A}} New Science Mapping Analysis Software Tool},
  volume = {63},
  issn = {1532-2890},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/asi.22688/abstract},
  doi = {10.1002/asi.22688},
  shorttitle = {{{SciMAT}}},
  abstract = {This article presents a new open-source software tool, SciMAT, which performs science mapping analysis within a longitudinal framework. It provides different modules that help the analyst to carry out all the steps of the science mapping workflow. In addition, SciMAT presents three key features that are remarkable in respect to other science mapping software tools: (a) a powerful preprocessing module to clean the raw bibliographical data, (b) the use of bibliometric measures to study the impact of each studied element, and (c) a wizard to configure the analysis.},
  number = {8},
  journaltitle = {Journal of the American Society for Information Science and Technology},
  shortjournal = {J Am Soc Inf Sci Tec},
  urldate = {2017-10-23},
  date = {2012-08-01},
  pages = {1609--1630},
  keywords = {Bibliometrics,computer software applications,bibliographic software},
  author = {Cobo, M.j. and López-Herrera, A.g. and Herrera-Viedma, E. and Herrera, F.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/XGS8CR8Q/Cobo et al_2012_SciMAT.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/2TIIXW9R/abstract.html}
}

@article{BelterCitationanalysisliterature2016,
  langid = {english},
  title = {Citation Analysis as a Literature Search Method for Systematic Reviews},
  volume = {67},
  issn = {2330-1643},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/asi.23605/abstract},
  doi = {10.1002/asi.23605},
  abstract = {Systematic reviews are essential for evaluating biomedical treatment options, but the growing size and complexity of the available biomedical literature combined with the rigor of the systematic review method mean that systematic reviews are extremely difficult and labor-intensive to perform. In this article, I propose a method of searching the literature by systematically mining the various types of citation relationships between articles. I then test the method by comparing its precision and recall to that of 14 published systematic reviews. The method successfully retrieved 74\% of the studies included in these reviews and 90\% of the studies it could reasonably be expected to retrieve. The method also retrieved fewer than half of the total number of publications retrieved by these reviews and can be performed in substantially less time. This suggests that the proposed method offers a promising complement to traditional text-based methods of literature identification and retrieval for systematic reviews.},
  number = {11},
  journaltitle = {Journal of the Association for Information Science and Technology},
  shortjournal = {J Assn Inf Sci Tec},
  urldate = {2017-10-23},
  date = {2016-11-01},
  pages = {2766--2777},
  keywords = {Bibliometrics,information retrieval},
  author = {Belter, Christopher W.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/RRJDDXPE/Belter_2016_Citation analysis as a literature search method for systematic reviews.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/E4VJM26W/abstract.html}
}

@article{WenMappingsciencebibliometric2017,
  langid = {english},
  title = {Mapping Science through Bibliometric Triangulation: {{An}} Experimental Approach Applied to Water Research},
  volume = {68},
  issn = {2330-1643},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/asi.23696/abstract},
  doi = {10.1002/asi.23696},
  shorttitle = {Mapping Science through Bibliometric Triangulation},
  abstract = {The idea of constructing science maps based on bibliographic data has intrigued researchers for decades, and various techniques have been developed to map the structure of research disciplines. Most science mapping studies use a single method. However, as research fields have various properties, a valid map of a field should actually be composed of a set of maps derived from a series of investigations using different methods. That leads to the question of what can be learned from a combination—triangulation—of these different science maps. In this paper we propose a method for triangulation, using the example of water science. We combine three different mapping approaches: journal–journal citation relations (JJCR), shared author keywords (SAK), and title word-cited reference co-occurrence (TWRC). Our results demonstrate that triangulation of JJCR, SAK, and TWRC produces a more comprehensive picture than each method applied individually. The outcomes from the three different approaches can be associated with each other and systematically interpreted to provide insights into the complex multidisciplinary structure of the field of water research.},
  number = {3},
  journaltitle = {Journal of the Association for Information Science and Technology},
  shortjournal = {Journal of the Association for Information Science and Technology},
  urldate = {2017-10-23},
  date = {2017-03-01},
  pages = {724--738},
  author = {Wen, Bei and Horlings, Edwin and van der Zouwen, Mariëlle and van den Besselaar, Peter},
  options = {useprefix=true},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/TNG7D8XX/Wen et al_2017_Mapping science through bibliometric triangulation.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/UVV9J4IC/abstract.html}
}

@article{RafolsDiversitynetworkcoherence2010,
  langid = {english},
  title = {Diversity and Network Coherence as Indicators of Interdisciplinarity: Case Studies in Bionanoscience},
  volume = {82},
  issn = {0138-9130, 1588-2861},
  url = {https://link-springer-com.proxy.bib.uottawa.ca/article/10.1007/s11192-009-0041-y},
  doi = {10.1007/s11192-009-0041-y},
  shorttitle = {Diversity and Network Coherence as Indicators of Interdisciplinarity},
  abstract = {The multidimensional character and inherent conflict with categorisation of interdisciplinarity makes its mapping and evaluation a challenging task. We propose a conceptual framework that aims to capt},
  number = {2},
  journaltitle = {Scientometrics},
  shortjournal = {Scientometrics},
  urldate = {2017-10-23},
  date = {2010-02-01},
  pages = {263--287},
  author = {Rafols, Ismael and Meyer, Martin},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/9KCPZ4PN/Rafols_Meyer_2010_Diversity and network coherence as indicators of interdisciplinarity.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/TUSCXJEG/s11192-009-0041-y.html}
}

@article{ZhangTopicanalysisforecasting2016,
  title = {Topic Analysis and Forecasting for Science, Technology and Innovation: {{Methodology}} with a Case Study Focusing on Big Data Research},
  volume = {105},
  issn = {0040-1625},
  url = {https://www.sciencedirect.com/science/article/pii/S0040162516000160},
  doi = {10.1016/j.techfore.2016.01.015},
  shorttitle = {Topic Analysis and Forecasting for Science, Technology and Innovation},
  abstract = {The number and extent of current Science, Technology \& Innovation topics are changing all the time, and their induced accumulative innovation, or even disruptive revolution, will heavily influence the whole of society in the near future. By addressing and predicting these changes, this paper proposes an analytic method to (1) cluster associated terms and phrases to constitute meaningful technological topics and their interactions, and (2) identify changing topical emphases. Our results are carried forward to present mechanisms that forecast prospective developments using Technology Roadmapping, combining qualitative and quantitative methodologies. An empirical case study of Awards data from the United States National Science Foundation, Division of Computer and Communication Foundation, is performed to demonstrate the proposed method. The resulting knowledge may hold interest for R\&D management and science policy in practice.},
  journaltitle = {Technological Forecasting and Social Change},
  shortjournal = {Technological Forecasting and Social Change},
  urldate = {2017-10-23},
  date = {2016-04},
  pages = {179--191},
  keywords = {Topic analysis,Technological forecasting,Text mining,Text clustering,Technical intelligence},
  author = {Zhang, Yi and Zhang, Guangquan and Chen, Hongshu and Porter, Alan L. and Zhu, Donghua and Lu, Jie},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/B2VF2MXD/Zhang et al_2016_Topic analysis and forecasting for science, technology and innovation.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/F26TED88/S0040162516000160.html}
}

@article{ZhangCitationcontentanalysis2013,
  langid = {english},
  title = {Citation Content Analysis ({{CCA}}): {{A}} Framework for Syntactic and Semantic Analysis of Citation Content},
  volume = {64},
  issn = {1532-2890},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/asi.22850/abstract},
  doi = {10.1002/asi.22850},
  shorttitle = {Citation Content Analysis ({{CCA}})},
  abstract = {This study proposes a new framework for citation content analysis (CCA), for syntactic and semantic analysis of citation content that can be used to better analyze the rich sociocultural context of research behavior. This framework could be considered the next generation of citation analysis. The authors briefly review the history and features of content analysis in traditional social sciences and its previous application in library and information science (LIS). Based on critical discussion of the theoretical necessity of a new method as well as the limits of citation analysis, the nature and purposes of CCA are discussed, and potential procedures to conduct CCA, including principles to identify the reference scope, a two-dimensional (citing and cited) and two-module (syntactic and semantic) codebook, are provided and described. Future work and implications are also suggested.},
  number = {7},
  journaltitle = {Journal of the American Society for Information Science and Technology},
  shortjournal = {J Am Soc Inf Sci Tec},
  urldate = {2017-10-23},
  date = {2013-07-01},
  pages = {1490--1503},
  keywords = {Citation analysis,content analysis,scholarly communication},
  author = {Zhang, Guo and Ding, Ying and Milojević, Staša},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/TJ9TZ3FE/Zhang et al_2013_Citation content analysis (CCA).pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/8FC3MKZT/abstract.html}
}

@article{Libibliometricanalysiseutrophication2017,
  langid = {english},
  title = {A Bibliometric Analysis of Eutrophication Literatures: An Expanding and Shifting Focus},
  volume = {24},
  issn = {0944-1344, 1614-7499},
  url = {https://link-springer-com.proxy.bib.uottawa.ca/article/10.1007/s11356-017-9294-9},
  doi = {10.1007/s11356-017-9294-9},
  shorttitle = {A Bibliometric Analysis of Eutrophication Literatures},
  abstract = {This paper examined the eutrophication literatures from 1998 to 2015 using bibliometric techniques basing on the database of Science Citation Index. Bibliometric techniques, social network analysis, a},
  number = {20},
  journaltitle = {Environmental Science and Pollution Research},
  shortjournal = {Environ Sci Pollut Res},
  urldate = {2017-10-23},
  date = {2017-07-01},
  pages = {17103--17115},
  author = {Li, Xia and Nan, Ruiqi},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/S49I7KXC/Li_Nan_2017_A bibliometric analysis of eutrophication literatures.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/K3XX39HR/s11356-017-9294-9.html}
}

@article{ZhangScientificevolutionarypathways2017,
  langid = {english},
  title = {Scientific Evolutionary Pathways: {{Identifying}} and Visualizing Relationships for Scientific Topics},
  volume = {68},
  issn = {2330-1643},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/asi.23814/abstract},
  doi = {10.1002/asi.23814},
  shorttitle = {Scientific Evolutionary Pathways},
  abstract = {Whereas traditional science maps emphasize citation statistics and static relationships, this paper presents a term-based method to identify and visualize the evolutionary pathways of scientific topics in a series of time slices. First, we create a data preprocessing model for accurate term cleaning, consolidating, and clustering. Then we construct a simulated data streaming function and introduce a learning process to train a relationship identification function to adapt to changing environments in real time, where relationships of topic evolution, fusion, death, and novelty are identified. The main result of the method is a map of scientific evolutionary pathways. The visual routines provide a way to indicate the interactions among scientific subjects and a version in a series of time slices helps further illustrate such evolutionary pathways in detail. The detailed outline offers sufficient statistical information to delve into scientific topics and routines and then helps address meaningful insights with the assistance of expert knowledge. This empirical study focuses on scientific proposals granted by the United States National Science Foundation, and demonstrates the feasibility and reliability. Our method could be widely applied to a range of science, technology, and innovation policy research, and offer insight into the evolutionary pathways of scientific activities.},
  number = {8},
  journaltitle = {Journal of the Association for Information Science and Technology},
  shortjournal = {Journal of the Association for Information Science and Technology},
  urldate = {2017-10-23},
  date = {2017-08-01},
  pages = {1925--1939},
  author = {Zhang, Yi and Zhang, Guangquan and Zhu, Donghua and Lu, Jie},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/U4SDVGFT/Zhang et al_2017_Scientific evolutionary pathways.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/3Q3FKKFT/abstract.html}
}

@article{ChenStructureDynamicsCoCitation2010,
  archivePrefix = {arXiv},
  eprinttype = {arxiv},
  eprint = {1002.1985},
  primaryClass = {cs},
  title = {The {{Structure}} and {{Dynamics}} of {{Co}}-{{Citation Clusters}}: {{A Multiple}}-{{Perspective Co}}-{{Citation Analysis}}},
  url = {http://arxiv.org/abs/1002.1985},
  shorttitle = {The {{Structure}} and {{Dynamics}} of {{Co}}-{{Citation Clusters}}},
  abstract = {A multiple-perspective co-citation analysis method is introduced for characterizing and interpreting the structure and dynamics of co-citation clusters. The method facilitates analytic and sense making tasks by integrating network visualization, spectral clustering, automatic cluster labeling, and text summarization. Co-citation networks are decomposed into co-citation clusters. The interpretation of these clusters is augmented by automatic cluster labeling and summarization. The method focuses on the interrelations between a co-citation cluster's members and their citers. The generic method is applied to a three-part analysis of the field of Information Science as defined by 12 journals published between 1996 and 2008: 1) a comparative author co-citation analysis (ACA), 2) a progressive ACA of a time series of co-citation networks, and 3) a progressive document co-citation analysis (DCA). Results show that the multiple-perspective method increases the interpretability and accountability of both ACA and DCA networks.},
  urldate = {2017-10-23},
  date = {2010-02-09},
  keywords = {Computer Science - Computers and Society},
  author = {Chen, Chaomei and Ibekwe-SanJuan, Fidelia and Hou, Jianhua},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/VBMGEGJK/Chen et al_2010_The Structure and Dynamics of Co-Citation Clusters.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/C6Q66U3B/1002.html}
}

@article{YanApplyingcentralitymeasures2010,
  archivePrefix = {arXiv},
  eprinttype = {arxiv},
  eprint = {1012.4862},
  primaryClass = {cs},
  title = {Applying Centrality Measures to Impact Analysis: {{A}} Coauthorship Network Analysis},
  url = {http://arxiv.org/abs/1012.4862},
  shorttitle = {Applying Centrality Measures to Impact Analysis},
  abstract = {Many studies on coauthorship networks focus on network topology and network statistical mechanics. This article takes a different approach by studying micro-level network properties, with the aim to apply centrality measures to impact analysis. Using coauthorship data from 16 journals in the field of library and information science (LIS) with a time span of twenty years (1988-2007), we construct an evolving coauthorship network and calculate four centrality measures (closeness, betweenness, degree and PageRank) for authors in this network. We find out that the four centrality measures are significantly correlated with citation counts. We also discuss the usability of centrality measures in author ranking, and suggest that centrality measures can be useful indicators for impact analysis.},
  urldate = {2017-10-23},
  date = {2010-12-21},
  keywords = {Computer Science - Digital Libraries},
  author = {Yan, Erjia and Ding, Ying},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/35XG994K/Yan_Ding_2010_Applying centrality measures to impact analysis.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/TEW2SWZS/1012.html}
}

@article{Chenexplanatorycomputationaltheory2009,
  archivePrefix = {arXiv},
  eprinttype = {arxiv},
  eprint = {0904.1439},
  primaryClass = {cs},
  title = {Towards an Explanatory and Computational Theory of Scientific Discovery},
  url = {http://arxiv.org/abs/0904.1439},
  abstract = {We propose an explanatory and computational theory of transformative discoveries in science. The theory is derived from a recurring theme found in a diverse range of scientific change, scientific discovery, and knowledge diffusion theories in philosophy of science, sociology of science, social network analysis, and information science. The theory extends the concept of structural holes from social networks to a broader range of associative networks found in science studies, especially including networks that reflect underlying intellectual structures such as co-citation networks and collaboration networks. The central premise is that connecting otherwise disparate patches of knowledge is a valuable mechanism of creative thinking in general and transformative scientific discovery in particular.},
  urldate = {2017-10-23},
  date = {2009-04-08},
  keywords = {Computer Science - Computers and Society,Computer Science - General Literature},
  author = {Chen, Chaomei and Chen, Yue and Horowitz, Mark and Hou, Haiyan and Liu, Zeyuan and Pellegrino, Don},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/4BBB8ME3/Chen et al_2009_Towards an explanatory and computational theory of scientific discovery.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/V8AZBF7B/0904.html}
}

@article{vanRaanComparisonHirschindexstandard2005,
  archivePrefix = {arXiv},
  eprinttype = {arxiv},
  eprint = {physics/0511206},
  title = {Comparison of the {{Hirsch}}-Index with Standard Bibliometric Indicators and with Peer Judgment for 147 Chemistry Research Groups},
  url = {http://arxiv.org/abs/physics/0511206},
  abstract = {In this paper we present characteristics of the statistical correlation between the Hirsch (h-) index and several standard bibliometric indicators, as well as with the results of peer review judgment. We use the results of a large evaluation study of 147 university chemistry research groups in the Netherlands covering the work of about 700 senior researchers during the period 1991-2000. Thus, we deal with research groups rather than individual scientists, as we consider the research group as the most important work floor unit in research, particularly in the natural sciences. Furthermore, we restrict the citation period to a three-year window instead of life time counts in order to focus on the impact of recent work and thus on current research performance. Results show that the h-index and our bibliometric crown indicator both relate in a quite comparable way with peer judgments. But for smaller groups in fields with less heavy citation traffic the crown indicator appears to be a more appropriate measure of research performance.},
  urldate = {2017-10-23},
  date = {2005-11-24},
  keywords = {Physics - Data Analysis; Statistics and Probability,Physics - Physics and Society},
  author = {van Raan, Anthony F. J.},
  options = {useprefix=true},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/7JQXAJS5/van Raan_2005_Comparison of the Hirsch-index with standard bibliometric indicators and with.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/FMX9E4GT/0511206.html}
}

@article{WeingartImpactbibliometricsscience2005,
  langid = {english},
  title = {Impact of Bibliometrics upon the Science System: {{Inadvertent}} Consequences?},
  volume = {62},
  issn = {0138-9130, 1588-2861},
  url = {https://link-springer-com.proxy.bib.uottawa.ca/article/10.1007/s11192-005-0007-7},
  doi = {10.1007/s11192-005-0007-7},
  shorttitle = {Impact of Bibliometrics upon the Science System},
  abstract = {Ranking of research institutions by bibliometric methods is an improper tool for research performance evaluation, even at the level of large institutions. The problem, however, is not the ranking as s},
  number = {1},
  journaltitle = {Scientometrics},
  shortjournal = {Scientometrics},
  urldate = {2017-10-23},
  date = {2005-01-01},
  pages = {117--131},
  author = {Weingart, Peter},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/ESHCEDA7/Weingart_2005_Impact of bibliometrics upon the science system.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/FZZKM9C8/s11192-005-0007-7.html}
}

@article{OnoderaFactorsaffectingcitation2015,
  langid = {english},
  title = {Factors Affecting Citation Rates of Research Articles},
  volume = {66},
  issn = {2330-1643},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1002/asi.23209/abstract},
  doi = {10.1002/asi.23209},
  abstract = {This study examines whether there are some general trends across subject fields regarding the factors affecting the number of citations of articles, focusing especially on those factors that are not directly related to the quality or content of articles (extrinsic factors). For this purpose, from 6 selected subject fields (condensed matter physics, inorganic and nuclear chemistry, electric and electronic engineering, biochemistry and molecular biology, physiology, and gastroenterology), original articles published in the same year were sampled (n = 230–240 for each field). Then, the citation counts received by the articles in relatively long citation windows (6 and 11 years after publication) were predicted by negative binomial multiple regression (NBMR) analysis for each field. Various article features about author collaboration, cited references, visibility, authors' achievements (measured by past publications and citedness), and publishing journals were considered as the explanatory variables of NBMR. Some generality across the fields was found with regard to the selected predicting factors and the degree of significance of these predictors. The Price index was the strongest predictor of citations, and number of references was the next. The effects of number of authors and authors' achievement measures were rather weak.},
  number = {4},
  journaltitle = {Journal of the Association for Information Science and Technology},
  shortjournal = {J Assn Inf Sci Tec},
  urldate = {2017-10-23},
  date = {2015-04-01},
  pages = {739--764},
  author = {Onodera, Natsuo and Yoshikane, Fuyuki},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/V3GFMHUG/Onodera_Yoshikane_2015_Factors affecting citation rates of research articles.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/XTN9UP6B/abstract.html}
}

@article{TahamtanFactorsaffectingnumber2016,
  langid = {english},
  title = {Factors Affecting Number of Citations: A Comprehensive Review of the Literature},
  volume = {107},
  issn = {0138-9130, 1588-2861},
  url = {https://link-springer-com.proxy.bib.uottawa.ca/article/10.1007/s11192-016-1889-2},
  doi = {10.1007/s11192-016-1889-2},
  shorttitle = {Factors Affecting Number of Citations},
  abstract = {The majority of academic papers are scarcely cited while a few others are highly cited. A large number of studies indicate that there are many factors influencing the number of citations. An actual re},
  number = {3},
  journaltitle = {Scientometrics},
  shortjournal = {Scientometrics},
  urldate = {2017-10-23},
  date = {2016-06-01},
  pages = {1195--1225},
  author = {Tahamtan, Iman and Afshar, Askar Safipour and Ahamdzadeh, Khadijeh},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/SKMUUHTE/Tahamtan et al_2016_Factors affecting number of citations.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/2HC38G45/10.html}
}

@article{BorrettenaRpackageEcosystem2014,
  langid = {english},
  title = {{{enaR}}: {{An}} r Package for {{Ecosystem Network Analysis}}},
  volume = {5},
  issn = {2041-210X},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/2041-210X.12282/abstract},
  doi = {10.1111/2041-210X.12282},
  shorttitle = {{{enaR}}},
  abstract = {* Network analysis is a useful approach for investigating complex and relational data in many fields including ecology, molecular and evolutionary biology.

* Here, we introduce enaR , an r package for Ecosystem Network Analysis (ENA). ENA is an analytical tool set rooted in ecosystem ecology with over 30 years of development that examines the structure and dynamics of matter and energy movement between discrete ecological compartments (e.g. a food web).

* In addition to describing the primary functionality of the package, we highlight several features including a library of 100 empirical ecosystem models, the ability to analyse and compare multiple models simultaneously, and connections to other ecological network analysis tools in r.},
  number = {11},
  journaltitle = {Methods in Ecology and Evolution},
  shortjournal = {Methods Ecol Evol},
  urldate = {2017-10-23},
  date = {2014-11-01},
  pages = {1206--1213},
  keywords = {ecopath,open-source software,network environ analysis,ascendency,input–output analysis,NETWRK,WAND,food web,Network analysis,Ecosystem},
  author = {Borrett, Stuart R. and Lau, Matthew K.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/DBZH7PBQ/Borrett_Lau_2014_enaR.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/SJUGBN4Z/abstract.html}
}

@article{LajeunesseFacilitatingsystematicreviews2016,
  langid = {english},
  title = {Facilitating Systematic Reviews, Data Extraction and Meta-Analysis with the Metagear Package for R},
  volume = {7},
  issn = {2041-210X},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/2041-210X.12472/abstract},
  doi = {10.1111/2041-210X.12472},
  abstract = {* The r package ecosystem is rich in tools for the statistics of meta-analysis. However, there are few resources available to facilitate research synthesis as a whole.

* Here, I present the metagear package for r. It is a comprehensive, multifunctional toolbox with capabilities aimed to cover much of the research synthesis taxonomy: from applying a systematic review approach to objectively assemble and screen the literature, to extracting data from studies, and to finally summarize and analyse these data with the statistics of meta-analysis.

* Current functionalities of metagear include the following: an abstract screener GUI to efficiently sieve bibliographic information from large numbers of candidate studies; tools to assign screening effort across multiple collaborators/reviewers and to assess inter-reviewer reliability using kappa statistics; PDF downloader to automate the retrieval of journal articles from online data bases; automated data extractions from scatter-plots, box-plots and bar-plots; PRISMA flow diagrams; simple imputation tools to fill gaps in incomplete or missing study parameters; generation of random-effects sizes for Hedges' d, log response ratio, odds ratio and correlation coefficients for Monte Carlo experiments; covariance equations for modelling dependencies among multiple effect sizes (e.g. with a common control, phylogenetic correlations); and finally, summaries that replicate analyses and outputs from widely used but no longer updated meta-analysis software.

* Research synthesis practices are vital to many disciplines in the sciences, including ecology and evolutionary biology, and metagear aims to enrich the scope, quality and reproducibility of what can be achieved with the systematic review and meta-analysis of research outcomes.},
  number = {3},
  journaltitle = {Methods in Ecology and Evolution},
  shortjournal = {Methods Ecol Evol},
  urldate = {2017-10-23},
  date = {2016-03-01},
  pages = {323--330},
  keywords = {data extraction and retrieval,effect sizes,MetaWin,quantitative reviews,research synthesis,systematic review,meta-analysis},
  author = {Lajeunesse, Marc J.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/I3DUDMKF/Lajeunesse_2016_Facilitating systematic reviews, data extraction and meta-analysis with the.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/3WTBNJ3H/abstract.html}
}

@article{BarryEmonRpackagesupport2017,
  langid = {english},
  title = {Emon: An {{R}}-Package to Support the Design of Marine Ecological and Environmental Studies, Surveys and Monitoring Programmes},
  volume = {8},
  issn = {2041-210X},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/2041-210X.12748/abstract},
  doi = {10.1111/2041-210X.12748},
  shorttitle = {Emon},
  abstract = {* Marine systems and their biota are always changing, in response to environmental and human pressures such as climate variation and change, eutrophication, fisheries exploitation, litter, noise and accidental releases or regular discharges of contaminants, radioactivity and hazardous substances. Studies, surveys and monitoring help to describe and understand system responses to these pressures, and provide evidence to assess the needs for, and effects of, management interventions. Studies, surveys and monitoring are often costly, especially offshore, so small investments in preliminary data collection and systematic planning of these activities can help to make best use of resources and inform trade-offs between budgets and expectations.

* To meet recognised needs for accessible tools to plan some aspects of studies, surveys and monitoring, we developed the R package emon. Emon includes routines for study design through power analysis (assuming independence of observations) and feature detection; which are the focus of this paper.

* We hope that access to the functions in emon, many drawing on work which was previously published but without code for implementation, will raise awareness of what marine studies, surveys and monitoring can achieve, thus encouraging cost-effective, needs- and evidence-based designs.},
  number = {10},
  journaltitle = {Methods in Ecology and Evolution},
  shortjournal = {Methods Ecol Evol},
  urldate = {2017-10-23},
  date = {2017-10-01},
  pages = {1342--1346},
  keywords = {monitoring,abundance,design,feature detection,marine,power,survey,Distribution},
  author = {Barry, Jon and Maxwell, David and Jennings, Simon and Walker, David and Murray, Joanna},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/4RM6T4FX/Barry et al_2017_Emon.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/IV24IE8V/abstract.html}
}

@article{RamachandranViXeNopensourcepackage,
  langid = {english},
  title = {{{ViXeN}}: {{An}} Open-Source Package for Managing Multimedia Data},
  issn = {2041-210X},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/2041-210X.12892/abstract},
  doi = {10.1111/2041-210X.12892},
  shorttitle = {{{ViXeN}}},
  abstract = {* There is a dearth of good toolkits to manage the different data formats that are associated with ecological datasets. In this paper, we describe a flexible, general-purpose, easy-to-use, extensible, and open-source toolkit that was built to manage an ecological study involving thousands of camera trap videos.

* ViXeN, the software package described here, can be used to view data files, including videos, images, audio files, portable document format (PDF) files, and text, in multiple formats. It can be used to annotate these data files, using metadata in the form of arbitrary user tags.

* The multimedia data catalogued, archived and extracted, using this software can easily be exported as a comma separated value file that can directly be used for data analysis.

* The software is capable of handling large datasets with up to a million files. Furthermore, ViXeN provides the option of additional customization by advanced users based on their particular requirements.

* We provide a case study involving more than 6,000 videos that were collected as part of a camera trap study involving mammalian carnivores to demonstrate some of the functionality of the software.},
  journaltitle = {Methods in Ecology and Evolution},
  shortjournal = {Methods Ecol Evol},
  urldate = {2017-10-23},
  pages = {n/a--n/a},
  keywords = {data management,metadata,multimedia,open source,software},
  author = {Ramachandran, Prabhu and Devarajan, Kadambari},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/V7GBMMIQ/Ramachandran_Devarajan_ViXeN.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/RHI92EHM/abstract.html}
}

@article{Nunez-MirAutomatedcontentanalysis2016,
  langid = {english},
  title = {Automated Content Analysis: Addressing the Big Literature Challenge in Ecology and Evolution},
  volume = {7},
  issn = {2041-210X},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/2041-210X.12602/abstract},
  doi = {10.1111/2041-210X.12602},
  shorttitle = {Automated Content Analysis},
  abstract = {* The exponential growth of scientific literature – which we call the ‘big literature’ phenomenon – has created great challenges in literature comprehension and synthesis. The traditional manual literature synthesis processes are often unable to take advantage of big literature due to human limitations in time and cognition, creating the need for new literature synthesis methods to address this challenge.

* In this paper, we discuss a highly useful literature synthesis approach, automated content analysis (ACA), which has not yet been widely adopted in the fields of ecology and evolutionary biology. ACA is a suite of machine learning tools for the qualitative and quantitative synthesis of big literature commonly used in the social sciences and in medical research.

* Our goal is to introduce ecologists and evolutionary biologists to ACA and illustrate its capacity to synthesize overwhelming volumes of literature. First, we provide a brief history of the ACA method and summarize the fundamental process of ACA. Next, we present two ACA studies to illustrate the utility and versatility of ACA in synthesizing ecological and evolutionary literature. Finally, we discuss how to maximize the utility and contributions of ACA, as well as potential research directions that may help to advance the use of ACA in future ecological and evolutionary research.

* Unlike manual methods of literature synthesis, ACA is able to process high volumes of literature at substantially shorter time spans, while helping to mitigate human biases. The overall efficiency and versatility of this method allow for a broad range of applications for literature review and synthesis, including both exploratory reviews and systematic reviews aiming to address more targeted research questions. By allowing for more extensive and comprehensive reviews of big literature, ACA has the potential to fill an important methodological gap and therefore contribute to the advancement of ecological and evolutionary research.},
  number = {11},
  journaltitle = {Methods in Ecology and Evolution},
  shortjournal = {Methods Ecol Evol},
  urldate = {2017-10-23},
  date = {2016-11-01},
  pages = {1262--1272},
  keywords = {Text mining,research synthesis,concept map,literature review,machine learning,quantitative review,topic modelling},
  author = {Nunez-Mir, Gabriela C. and Iannone, Basil V. and Pijanowski, Bryan C. and Kong, Ningning and Fei, Songlin},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/65E4XVBH/Nunez-Mir et al_2016_Automated content analysis.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/H8QJGBPP/abstract.html}
}

@article{Okamotoframeworkhighthroughputecoevolutionary,
  langid = {english},
  title = {A Framework for High-Throughput Eco-Evolutionary Simulations Integrating Multilocus Forward-Time Population Genetics and Community Ecology},
  issn = {2041-210X},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/2041-210X.12889/abstract},
  doi = {10.1111/2041-210X.12889},
  abstract = {* The evolutionary dynamics of quantitative traits in a species depends on demographic structure (e.g. age- and size-dependent vital rates, migration across subpopulations, mate preferences, and the presence or absence of overlapping generations), which in turn can depend on interspecific interactions with other evolving species. Furthermore, biologists increasingly appreciate that evolutionary change in a single species can substantively affect broader ecological processes, such as community assembly and ecosystem functioning.

* Models integrating insights from classical population and quantitative genetics, on the one hand, and community ecology theory, on the other, are therefore critical to elucidating the interplay between ecological and evolutionary processes. However, few modelling approaches integrate ecological and genetic details into a comprehensive framework. Such models are needed to account for the reciprocal feedback between evolutionary change and ecological dynamics, and develop effective responses to anthropogenic disturbances on natural communities, improve agricultural practices and manage global health risks such as emerging pathogens.

* Here we introduce an open-source, multi-species forward-time population genetics simulator and framework for rapidly simulating eco-evolutionary dynamics. Our approach permits building models that can account for alternative genetic architectures, non-standard population dynamics and demographic structures, including those driven by interspecific interactions with other evolving species and the spatial dynamics of metacommunities. By integrating these processes into a common framework, we aim to facilitate the development of models that can further elucidate eco-evolutionary dynamics.

* While multi-species, forward-time population genetic models can be computationally expensive, we show how our framework leverages relatively economical graphics cards installed in modern desktops. We illustrate the versatility and general applicability of our approach for two very different case studies: antagonistic coevolution in space, and the evolution of life-history traits in response to resource dynamics in physiologically structured populations. We find that our analyses can run up to c. 200 times faster on a single commodity graphics card than on a single CPU core, comparable to the performance gains on small-to-medium sized computer clusters.

* Our approach therefore substantively reduces implementation difficulties to integrating ecological and evolutionary theory.},
  journaltitle = {Methods in Ecology and Evolution},
  shortjournal = {Methods Ecol Evol},
  urldate = {2017-10-23},
  pages = {n/a--n/a},
  keywords = {Community ecology,cuda,eco-evolutionary dynamics,forward-time population genetics models,individual-based models,parallel computing},
  author = {Okamoto, Kenichi W. and Amarasekare, Priyanga},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/FRBX6WVX/Okamoto_Amarasekare_A framework for high-throughput eco-evolutionary simulations integrating.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/XGK22Q8G/abstract.html}
}

@article{GuenardPhylogeneticeigenvectormaps2013,
  langid = {english},
  title = {Phylogenetic Eigenvector Maps: A Framework to Model and Predict Species Traits},
  volume = {4},
  issn = {2041-210X},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/2041-210X.12111/abstract},
  doi = {10.1111/2041-210X.12111},
  shorttitle = {Phylogenetic Eigenvector Maps},
  abstract = {* Phylogenetic signals are the legacy related to evolutionary processes shaping trait variation among species. Biologists can use these signals to tackle questions related to the evolutionary processes underlying trait evolution, estimate the ancestral state of a trait and predict unknown trait values from those of related species (i.e. ‘phylogenetic modelling’). Approaches to model phylogenetic signals rely on quantitative descriptors of the structures representing the consequences of evolution on trait differences among species.

* Here, we propose a novel framework to model phylogenetic signals: Phylogenetic Eigenvectors Maps (PEM). PEM are a set of eigenfunctions obtained from the structure of a phylogenetic graph, which can be a standard phylogenetic tree or a phylogenetic tree with added reticulations. These eigenfunctions depict a set of potential patterns of phenotype variation among species from the structure of the phylogenetic graph. A subset of eigenfunctions from a PEM is selected for the purpose of predicting the phenotypic values of traits for species that are represented in a tree, but for which trait data are otherwise lacking. This paper introduces a comprehensive view and the computational details of the PEM framework (with calculation examples), a simulation study to demonstrate the ability of PEM to predict trait values and four real data examples of the use of the framework.

* Simulation results show that PEM are robust in representing phylogenetic signal and in estimating trait values.

* The method also performed well when applied to the real-world data: prediction coefficients were high (0·76–0·88), and no notable model biases were found.

* Phylogenetic modelling using PEM is shown to be a useful methodological asset to disciplines such as ecology, ecophysiology, ecotoxicology, pharmaceutical botany, among others, which can benefit from estimating trait values that are laborious and often expensive to obtain.},
  number = {12},
  journaltitle = {Methods in Ecology and Evolution},
  shortjournal = {Methods Ecol Evol},
  urldate = {2017-10-23},
  date = {2013-12-01},
  pages = {1120--1131},
  keywords = {comparative method,cross-validation,evolutionary models,Ornstein–Uhlenbeck process,phylogenetic eigenvectors,phylogenetic modelling,statistical modelling,trait values,graph theory,phylogenetic signal},
  author = {Guénard, Guillaume and Legendre, Pierre and Peres-Neto, Pedro},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/C5S4UHJC/Guénard et al_2013_Phylogenetic eigenvector maps.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/RH8ZVTAR/abstract.html}
}

@article{Thomasframeworkassessingthreats2011,
  langid = {english},
  title = {A Framework for Assessing Threats and Benefits to Species Responding to Climate Change},
  volume = {2},
  issn = {2041-210X},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/j.2041-210X.2010.00065.x/abstract},
  doi = {10.1111/j.2041-210X.2010.00065.x},
  abstract = {1. Current national and international frameworks for assessing threats to species have not been developed in the context of climate change, and are not framed in a way that recognises new opportunities that arise from climate change. 2. The framework presented here separates the threats and benefits of climate change for individual species. Threat is assessed by the level of climate-related decline within a species’ recently occupied (e.g. pre-1970s) historical distribution, based on observed (e.g. repeat census) and/or projected changes (e.g. modelled bioclimate space). Benefits are assessed in terms of observed and/or projected increases outside the recently occupied historical range. 3. Exacerbating factors (e.g. small population size, low dispersal capacity) that might increase levels of threat or limit expansion in response to climate change are taken into consideration within the framework. Protocols are also used to identify levels of confidence (and hence research and/or monitoring needs) in each species’ assessment. 4. Observed and projected changes are combined into single measures of expected decline and increase, together with associated measures of confidence. We weight risk classifications towards information that is most certain. Each species is then placed in one of six categories (high risk, medium risk, limited impact, equivalent risks \& benefits, medium benefit, high benefit) reflecting whether climate change is expected (or has been observed) to cause net declines or increases in the region considered, based on the balance of benefits and threats. 5. We illustrate the feasibility of using the framework by applying it to (i) all British butterflies (N~=~58 species) and (ii) an additional sample of British species: 18 species of plants, bats, birds and beetles. 6. Synthesis. Our framework assesses net declines and increases associated with climate change, for individual species. It could be applied at any scale (regional, continental or global distributions of species), and complements existing conservation assessment protocols such as red-listing. Using observed and projected population and/or range data, it is feasible to carry out systematic conservation status assessments that inform the development of monitoring, adaptation measures and conservation management planning for species that are responding to climate change.},
  number = {2},
  journaltitle = {Methods in Ecology and Evolution},
  urldate = {2017-10-23},
  date = {2011-04-01},
  pages = {125--142},
  keywords = {climate envelope,IUCN,policy,risk assessment,species conservation,biodiversity,Distribution,global warming},
  author = {Thomas, Chris D. and Hill, Jane K. and Anderson, Barbara J. and Bailey, Sallie and Beale, Colin M. and Bradbury, Richard B. and Bulman, Caroline R. and Crick, Humphrey Q. P. and Eigenbrod, Felix and Griffiths, Hannah M. and Kunin, William E. and Oliver, Tom H. and Walmsley, Clive A. and Watts, Kevin and Worsfold, Nicholas T. and Yardley, Tim},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/T26JPGUH/Thomas et al_2011_A framework for assessing threats and benefits to species responding to climate.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/2IGQ2USI/abstract.html}
}

@article{Stevensongeneralframeworkanimal2015,
  langid = {english},
  title = {A General Framework for Animal Density Estimation from Acoustic Detections across a Fixed Microphone Array},
  volume = {6},
  issn = {2041-210X},
  url = {http://onlinelibrary.wiley.com.proxy.bib.uottawa.ca/doi/10.1111/2041-210X.12291/abstract},
  doi = {10.1111/2041-210X.12291},
  abstract = {* Acoustic monitoring can be an efficient, cheap, non-invasive alternative to physical trapping of individuals. Spatially explicit capture–recapture (SECR) methods have been proposed to estimate calling animal abundance and density from data collected by a fixed array of microphones. However, these methods make some assumptions that are unlikely to hold in many situations, and the consequences of violating these are yet to be investigated.

* We generalize existing acoustic SECR methodology, enabling these methods to be used in a much wider variety of situations. We incorporate time-of-arrival (TOA) data collected by the microphone array, increasing the precision of calling animal density estimates. We use our method to estimate calling male density of the Cape Peninsula Moss Frog Arthroleptella lightfooti.

* Our method gives rise to an estimator of calling animal density that has negligible bias, and 95\% confidence intervals with appropriate coverage. We show that using TOA information can substantially improve estimate precision.

* Our analysis of the A.~lightfooti data provides the first statistically rigorous estimate of calling male density for an anuran population using a microphone array. This method fills a methodological gap in the monitoring of frog populations and is applicable to acoustic monitoring of other species that call or vocalize.},
  number = {1},
  journaltitle = {Methods in Ecology and Evolution},
  shortjournal = {Methods Ecol Evol},
  urldate = {2017-10-23},
  date = {2015-01-01},
  pages = {38--48},
  keywords = {anura,bootstrap,frog advertisement call,maximum likelihood,Pyxicephalidae,spatially explicit capture–recapture,time of arrival},
  author = {Stevenson, Ben C. and Borchers, David L. and Altwegg, Res and Swift, René J. and Gillespie, Douglas M. and Measey, G. John},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/7D2UKJIT/Stevenson et al_2015_A general framework for animal density estimation from acoustic detections.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/GSZC8CFD/abstract.html}
}

@article{Hirschindexquantifyindividual2010,
  langid = {english},
  title = {An Index to Quantify an Individual’s Scientific Research Output That Takes into Account the Effect of Multiple Coauthorship},
  volume = {85},
  issn = {0138-9130, 1588-2861},
  url = {https://link-springer-com.proxy.bib.uottawa.ca/article/10.1007/s11192-010-0193-9},
  doi = {10.1007/s11192-010-0193-9},
  abstract = {I propose the index \$\$$\backslash$hbar\$\$ (“hbar”), defined as the number of papers of an individual that have citation count larger than or equal to the \$\$$\backslash$hbar\$\$ of all coauthors of each paper, as a useful inde},
  number = {3},
  journaltitle = {Scientometrics},
  shortjournal = {Scientometrics},
  urldate = {2017-10-25},
  date = {2010-12-01},
  pages = {741--754},
  author = {Hirsch, J. E.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/EP8TU5HU/Hirsch_2010_An index to quantify an individual’s scientific research output that takes into.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/443HZ9W9/s11192-010-0193-9.html}
}

@article{AusloosAssessingtruerole2015,
  title = {Assessing the True Role of Coauthors in the H-Index Measure of an Author Scientific Impact},
  volume = {422},
  issn = {0378-4371},
  url = {http://www.sciencedirect.com/science/article/pii/S0378437114010395},
  doi = {10.1016/j.physa.2014.12.004},
  abstract = {A method based on the classical principal component analysis leads to demonstrate that the role of co-authors should give a h-index measure to a group leader higher than usually accepted. The method rather easily gives what is usually searched for, i.e. an estimate of the role (or “weight”) of co-authors, as the additional value to an author papers’ popularity. The construction of the co-authorship popularity H-matrix is exemplified and the role of eigenvalues and the main eigenvector component are discussed. Examples illustrate the points and serve as the basis for suggesting a generally practical application of the concept.},
  issue = {Supplement C},
  journaltitle = {Physica A: Statistical Mechanics and its Applications},
  shortjournal = {Physica A: Statistical Mechanics and its Applications},
  urldate = {2017-10-25},
  date = {2015-03-15},
  pages = {136--142},
  keywords = {Co-authorship,-index,Principal component analysis,Scientific production,Fractional weight},
  author = {Ausloos, M.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/KG8FF2DG/Ausloos_2015_Assessing the true role of coauthors in the h-index measure of an author.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/8NJ9AG3U/S0378437114010395.html}
}

@article{HagenHarmonicAllocationAuthorship2008,
  title = {Harmonic {{Allocation}} of {{Authorship Credit}}: {{Source}}-{{Level Correction}} of {{Bibliometric Bias Assures Accurate Publication}} and {{Citation Analysis}}},
  volume = {3},
  issn = {1932-6203},
  url = {http://journals.plos.org.proxy.bib.uottawa.ca/plosone/article?id=10.1371/journal.pone.0004021},
  doi = {10.1371/journal.pone.0004021},
  shorttitle = {Harmonic {{Allocation}} of {{Authorship Credit}}},
  abstract = {Authorship credit for multi-authored scientific publications is routinely allocated either by issuing full publication credit repeatedly to all coauthors, or by dividing one credit equally among all coauthors. The ensuing inflationary and equalizing biases distort derived bibliometric measures of merit by systematically benefiting secondary authors at the expense of primary authors. Here I show how harmonic counting, which allocates credit according to authorship rank and the number of coauthors, provides simultaneous source-level correction for both biases as well as accommodating further decoding of byline information. I also demonstrate large and erratic effects of counting bias on the original h-index, and show how the harmonic version of the h-index provides unbiased bibliometric ranking of scientific merit while retaining the original's essential simplicity, transparency and intended fairness. Harmonic decoding of byline information resolves the conundrum of authorship credit allocation by providing a simple recipe for source-level correction of inflationary and equalizing bias. Harmonic counting could also offer unrivalled accuracy in automated assessments of scientific productivity, impact and achievement.},
  number = {12},
  journaltitle = {PLOS ONE},
  shortjournal = {PLOS ONE},
  urldate = {2017-10-25},
  date = {2008-12-24},
  pages = {e4021},
  keywords = {Bibliometrics,Citation analysis,Aquaculture,Norway,Research quality assessment,Universities,Scientific publishing,Scientists},
  author = {Hagen, Nils T.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/QGTIQF6J/Hagen_2008_Harmonic Allocation of Authorship Credit.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/W5UKG97B/article.html}
}

@online{Howkeepscientific2016a,
  title = {How to Keep up with the Scientific Literature},
  url = {http://www.sciencemag.org/careers/2016/11/how-keep-scientific-literature},
  abstract = {Are you having trouble staying on top of the ever-growing body of scientific knowledge? These researchers’ tips are here to help},
  journaltitle = {Science | AAAS},
  urldate = {2017-11-10},
  date = {2016-11-30T15:28:17-05:00},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/462J78UN/how-keep-scientific-literature.html}
}

@article{BonateRecommendedreadingpopulation2005,
  langid = {english},
  title = {Recommended Reading in Population Pharmacokinetic Pharmacodynamics},
  volume = {7},
  issn = {1550-7416},
  url = {https://link.springer.com/article/10.1208/aapsj070237},
  doi = {10.1208/aapsj070237},
  abstract = {Developing the skills or expertise to create useful population pharmacokinetic-pharmacodynamic models can be a daunting task-the level of mathematical and statistical complexity is such that newcomers to the field are frequently overwhelmed. A good place to start in learning the field is to read articles in the literature. However, the number of articles dealing with population pharmacokinetic pharmacodynamics is exponentially increasing on a yearly basis, so choosing which articles to read can be difficult. The purpose of this review is to provide a recommended reading list for newcomers to the field. The list was chosen based on perceived impact of the article in the field, the quality of the article, or to highlight some important detail contained within the article. After reading the articles in the list, it is believed that the reader will have a broad overview of the field and have a sound foundation for moredetailed reading of the literature.},
  number = {2},
  journaltitle = {The AAPS Journal},
  shortjournal = {AAPS J},
  urldate = {2017-11-10},
  date = {2005-06-01},
  pages = {E363--E373},
  author = {Bonate, Peter L.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/5H68QU4V/Bonate_2005_Recommended reading in population pharmacokinetic pharmacodynamics.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/9MC3CAZP/10.html}
}

@report{JardineAutomaticallygeneratingreading2014,
  title = {Automatically Generating Reading Lists},
  institution = {{University of Cambridge, Computer Laboratory}},
  date = {2014},
  author = {Jardine, James G.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/M6TK3DUM/Jardine_2014_Automatically generating reading lists.pdf}
}

@inproceedings{GordonStructuredgenerationtechnical2017,
  title = {Structured Generation of Technical Reading Lists},
  booktitle = {Proceedings of the 12th {{Workshop}} on {{Innovative Use}} of {{NLP}} for {{Building Educational Applications}}},
  date = {2017},
  pages = {261--270},
  author = {Gordon, Jonathan and Aguilar, Stephen and Sheng, Emily and Burns, Gully},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/B6525H3U/Gordon et al_2017_Structured generation of technical reading lists.pdf}
}

@article{SesagiriRaamkumarUsingauthorspecifiedkeywords2017a,
  title = {Using Author-Specified Keywords in Building an Initial Reading List of Research Papers in Scientific Paper Retrieval and Recommender Systems},
  volume = {53},
  issn = {0306-4573},
  url = {http://www.sciencedirect.com/science/article/pii/S0306457316301042},
  doi = {10.1016/j.ipm.2016.12.006},
  abstract = {An initial reading list is prepared by researchers at the start of literature review for getting an overview of the research performed in a particular area. Prior studies have taken the approach of merely recommending seminal or popular papers to aid researchers in such a task. In this paper, we present an alternative technique called the AKR (Author-specified Keywords based Retrieval) technique for providing popular, recent, survey and a diverse set of papers as a part of the initial reading list. The AKR technique is based on a novel coverage value that has its calculation centered on author-specified keywords. We performed an offline evaluation experiment with four variants of the AKR technique along with three state-of-the-art approaches involving collaborative filtering and graph ranking algorithms. Findings show that the Hyperlink-Induced Topic Search (HITS) enhanced variant of the AKR technique performs better than other techniques, satisfying most requirements for a reading list. A user evaluation study was conducted with 132 researchers to gauge user interest on the proposed technique using 14 evaluation measures. Results show that (i) students group are more satisfied with the recommended papers than staff group, (ii) popularity measure is strongly correlated with the output quality measures and (iii) the measures familiarity, usefulness and ‘agreeability on a good list’ were found to be strong predictors for user satisfaction. The AKR technique provides scope for extension in future information retrieval (IR) and content-based recommender systems (RS) studies.},
  number = {3},
  journaltitle = {Information Processing \& Management},
  shortjournal = {Information Processing \& Management},
  urldate = {2017-11-10},
  date = {2017-05-01},
  pages = {577--594},
  keywords = {Author-specified keywords,Digital libraries,Literature review,Reading list,Scientific paper information retrieval,Scientific paper recommender systems},
  author = {Sesagiri Raamkumar, Aravind and Foo, Schubert and Pang, Natalie},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/RXXNE896/Sesagiri Raamkumar et al_2017_Using author-specified keywords in building an initial reading list of research.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/AMFRDCP6/S0306457316301042.html}
}

@article{LandhuisScientificliteratureInformation2016,
  langid = {english},
  title = {Scientific Literature: {{Information}} Overload},
  volume = {535},
  rights = {© 2016 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
  issn = {0028-0836},
  url = {https://www.nature.com/nature/journal/v535/n7612/full/nj7612-457a.html},
  doi = {10.1038/nj7612-457a},
  shorttitle = {Scientific Literature},
  abstract = {How to manage the research-paper deluge? Blogs, colleagues and social media can all help.},
  number = {7612},
  journaltitle = {Nature},
  urldate = {2017-11-10},
  date = {2016-07-21},
  pages = {457--458},
  keywords = {Careers},
  author = {Landhuis, Esther},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/QXQA2QG9/nj7612-457a.html}
}

@article{BauerTenSimpleRules2009,
  title = {Ten {{Simple Rules}} for {{Searching}} and {{Organizing}} the {{Scientific Literature}}},
  issn = {1756-0357},
  url = {http://precedings.nature.com/doifinder/10.1038/npre.2009.3867.1},
  doi = {10.1038/npre.2009.3867.1},
  journaltitle = {Nature Precedings},
  urldate = {2017-11-10},
  date = {2009-10-16},
  author = {Bauer, Denis},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/ALGBF4MX/Bauer_2009_Ten Simple Rules for Searching and Organizing the Scientific Literature.pdf}
}

@article{DuAcademicUsersInformation2011,
  title = {Academic {{Users}}' {{Information Searching}} on {{Research Topics}}: {{Characteristics}} of {{Research Tasks}} and {{Search Strategies}}},
  volume = {37},
  issn = {0099-1333},
  url = {http://www.sciencedirect.com/science/article/pii/S0099133311000711},
  doi = {10.1016/j.acalib.2011.04.003},
  shorttitle = {Academic {{Users}}' {{Information Searching}} on {{Research Topics}}},
  abstract = {This project investigated how academic users search for information on their real-life research tasks. This article presents the findings of the first of two studies. The study data were collected in the Queensland University of Technology (QUT) in Brisbane, Australia. Eleven PhD students' searching behaviors on personal research topics were observed as they interacted with information retrieval (IR) systems. The analysis of search logs uncovered the characteristics of research tasks and the corresponding search strategies.},
  number = {4},
  journaltitle = {The Journal of Academic Librarianship},
  shortjournal = {The Journal of Academic Librarianship},
  urldate = {2017-11-11},
  date = {2011-07-01},
  pages = {299--306},
  author = {Du, Jia Tina and Evans, Nina},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/Q3H6QUB6/Du_Evans_2011_Academic Users' Information Searching on Research Topics.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/XWN3GRFB/S0099133311000711.html}
}

@inproceedings{pennington2014glove,
  title = {{{GloVe}}: {{Global Vectors}} for {{Word Representation}}},
  url = {http://www.aclweb.org/anthology/D14-1162},
  booktitle = {Empirical {{Methods}} in {{Natural Language Processing}} ({{EMNLP}})},
  date = {2014},
  pages = {1532--1543},
  author = {Pennington, Jeffrey and Socher, Richard and Manning, Christopher D.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/3V5JA8UH/glove.pdf}
}

@article{Waltmanunifiedapproachmapping2010,
  archivePrefix = {arXiv},
  eprinttype = {arxiv},
  eprint = {1006.1032},
  primaryClass = {physics},
  title = {A Unified Approach to Mapping and Clustering of Bibliometric Networks},
  url = {http://arxiv.org/abs/1006.1032},
  abstract = {In the analysis of bibliometric networks, researchers often use mapping and clustering techniques in a combined fashion. Typically, however, mapping and clustering techniques that are used together rely on very different ideas and assumptions. We propose a unified approach to mapping and clustering of bibliometric networks. We show that the VOS mapping technique and a weighted and parameterized variant of modularity-based clustering can both be derived from the same underlying principle. We illustrate our proposed approach by producing a combined mapping and clustering of the most frequently cited publications that appeared in the field of information science in the period 1999-2008.},
  urldate = {2017-11-17},
  date = {2010-06-05},
  keywords = {Computer Science - Digital Libraries,Physics - Data Analysis; Statistics and Probability,Physics - Physics and Society},
  author = {Waltman, Ludo and van Eck, Nees Jan and Noyons, Ed C. M.},
  options = {useprefix=true},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/YJP7DU2A/Waltman et al_2010_A unified approach to mapping and clustering of bibliometric networks.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/N2PWBR27/1006.html}
}

@article{Waltmansmartlocalmoving2013,
  archivePrefix = {arXiv},
  eprinttype = {arxiv},
  eprint = {1308.6604},
  title = {A Smart Local Moving Algorithm for Large-Scale Modularity-Based Community Detection},
  volume = {86},
  issn = {1434-6028, 1434-6036},
  url = {http://arxiv.org/abs/1308.6604},
  doi = {10.1140/epjb/e2013-40829-0},
  abstract = {We introduce a new algorithm for modularity-based community detection in large networks. The algorithm, which we refer to as a smart local moving algorithm, takes advantage of a well-known local moving heuristic that is also used by other algorithms. Compared with these other algorithms, our proposed algorithm uses the local moving heuristic in a more sophisticated way. Based on an analysis of a diverse set of networks, we show that our smart local moving algorithm identifies community structures with higher modularity values than other algorithms for large-scale modularity optimization, among which the popular 'Louvain algorithm' introduced by Blondel et al. (2008). The computational efficiency of our algorithm makes it possible to perform community detection in networks with tens of millions of nodes and hundreds of millions of edges. Our smart local moving algorithm also performs well in small and medium-sized networks. In short computing times, it identifies community structures with modularity values equally high as, or almost as high as, the highest values reported in the literature, and sometimes even higher than the highest values found in the literature.},
  number = {11},
  journaltitle = {The European Physical Journal B},
  urldate = {2017-11-17},
  date = {2013-11},
  keywords = {Physics - Data Analysis; Statistics and Probability,Physics - Physics and Society,Computer Science - Social and Information Networks},
  author = {Waltman, Ludo and van Eck, Nees Jan},
  options = {useprefix=true},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/LW8UAZ87/Waltman_van Eck_2013_A smart local moving algorithm for large-scale modularity-based community.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/7B627A6V/1308.html}
}

@article{BlondelFastunfoldingcommunities2008,
  archivePrefix = {arXiv},
  eprinttype = {arxiv},
  eprint = {0803.0476},
  title = {Fast Unfolding of Communities in Large Networks},
  volume = {2008},
  issn = {1742-5468},
  url = {http://arxiv.org/abs/0803.0476},
  doi = {10.1088/1742-5468/2008/10/P10008},
  abstract = {We propose a simple method to extract the community structure of large networks. Our method is a heuristic method that is based on modularity optimization. It is shown to outperform all other known community detection method in terms of computation time. Moreover, the quality of the communities detected is very good, as measured by the so-called modularity. This is shown first by identifying language communities in a Belgian mobile phone network of 2.6 million customers and by analyzing a web graph of 118 million nodes and more than one billion links. The accuracy of our algorithm is also verified on ad-hoc modular networks. .},
  number = {10},
  journaltitle = {Journal of Statistical Mechanics: Theory and Experiment},
  urldate = {2017-11-17},
  date = {2008-10-09},
  pages = {P10008},
  keywords = {Computer Science - Computers and Society,Physics - Physics and Society,Computer Science - Data Structures and Algorithms,Condensed Matter - Statistical Mechanics},
  author = {Blondel, Vincent D. and Guillaume, Jean-Loup and Lambiotte, Renaud and Lefebvre, Etienne},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/3Z56HPGQ/Blondel et al_2008_Fast unfolding of communities in large networks.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/ZI3IUNQL/0803.html}
}

@article{EckSoftwaresurveyVOSviewer2010,
  langid = {english},
  title = {Software Survey: {{VOSviewer}}, a Computer Program for Bibliometric Mapping},
  volume = {84},
  issn = {0138-9130, 1588-2861},
  url = {https://link.springer.com/article/10.1007/s11192-009-0146-3},
  doi = {10.1007/s11192-009-0146-3},
  shorttitle = {Software Survey},
  abstract = {We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer’s functionality for displaying bibliometric maps is provided. In the second part, the technical implementation of specific parts of the program is discussed. Finally, in the third part, VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.},
  number = {2},
  journaltitle = {Scientometrics},
  shortjournal = {Scientometrics},
  urldate = {2017-11-17},
  date = {2010-08-01},
  pages = {523--538},
  author = {van Eck, Nees Jan and Waltman, Ludo},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/MZ8QAQ5W/Eck_Waltman_2010_Software survey.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/GQCCPJAE/s11192-009-0146-3.html}
}

@article{EckHownormalizecooccurrence2009,
  langid = {english},
  title = {How to Normalize Cooccurrence Data? {{An}} Analysis of Some Well-Known Similarity Measures},
  volume = {60},
  issn = {1532-2890},
  url = {http://onlinelibrary.wiley.com/doi/10.1002/asi.21075/abstract},
  doi = {10.1002/asi.21075},
  shorttitle = {How to Normalize Cooccurrence Data?},
  abstract = {In scientometric research, the use of cooccurrence data is very common. In many cases, a similarity measure is employed to normalize the data. However, there is no consensus among researchers on which similarity measure is most appropriate for normalization purposes. In this article, we theoretically analyze the properties of similarity measures for cooccurrence data, focusing in particular on four well-known measures: the association strength, the cosine, the inclusion index, and the Jaccard index. We also study the behavior of these measures empirically. Our analysis reveals that there exist two fundamentally different types of similarity measures, namely, set-theoretic measures and probabilistic measures. The association strength is a probabilistic measure, while the cosine, the inclusion index, and the Jaccard index are set-theoretic measures. Both our theoretical and our empirical results indicate that cooccurrence data can best be normalized using a probabilistic measure. This provides strong support for the use of the association strength in scientometric research.},
  number = {8},
  journaltitle = {Journal of the American Society for Information Science and Technology},
  shortjournal = {J. Am. Soc. Inf. Sci.},
  urldate = {2017-11-17},
  date = {2009-08-01},
  pages = {1635--1651},
  author = {van Eck, Nees Jan and Waltman, Ludo},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/X9G3LDLY/Eck_Waltman_2009_How to normalize cooccurrence data.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/S6B3UXML/abstract.html}
}

@article{BaveyeLearnedpublishingwho2014,
  langid = {english},
  title = {Learned Publishing: Who Still Has Time to Read?},
  volume = {27},
  issn = {1741-4857},
  url = {http://onlinelibrary.wiley.com/doi/10.1087/20140107/abstract},
  doi = {10.1087/20140107},
  shorttitle = {Learned Publishing},
  number = {1},
  journaltitle = {Learned Publishing},
  shortjournal = {Learned Publishing},
  urldate = {2017-11-17},
  date = {2014-01-01},
  pages = {48--51},
  author = {Baveye, Philippe C.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/CFYHXHVI/Baveye_2014_Learned publishing.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/SQPC7P97/abstract.html}
}

@article{EngelDesigningpaymentsenvironmental2008,
  title = {Designing Payments for Environmental Services in Theory and Practice: {{An}} Overview of the Issues},
  volume = {65},
  issn = {0921-8009},
  url = {http://www.sciencedirect.com/science/article/pii/S0921800908001420},
  doi = {10.1016/j.ecolecon.2008.03.011},
  shorttitle = {Designing Payments for Environmental Services in Theory and Practice},
  abstract = {Payments for environmental services (PES) have attracted increasing interest as a mechanism to translate external, non-market values of the environment into real financial incentives for local actors to provide environmental services (ES). In this introductory paper, we set the stage for the rest of this Special Issue of Ecological Economics by reviewing the main issues arising in PES design and implementation and discussing these in the light of environmental economics. We start with a discussion of PES definition and scope. We proceed to review some of the principal dimensions and design characteristics of PES programs and then analyze how PES compares to alternative policy instruments. Finally, we examine in detail two important aspects of PES programs: their effectiveness and their distributional implications. PES is not a silver bullet that can be used to address any environmental problem, but a tool tailored to address a specific set of problems: those in which ecosystems are mismanaged because many of their benefits are externalities from the perspective of ecosystem managers. PES is based on the beneficiary-pays rather than the polluter-pays principle, and as such is attractive in settings where ES providers are poor, marginalized landholders or powerful groups of actors. An important distinction within PES is between user-financed PES in which the buyers are the users of the ES, and government-financed PES in which the buyers are others (typically the government) acting on behalf of ES users. In practice, PES programs differ in the type and scale of ES demand, the payment source, the type of activity paid for, the performance measure used, as well as the payment mode and amount. The effectiveness and efficiency of PES depends crucially on program design.},
  number = {4},
  journaltitle = {Ecological Economics},
  shortjournal = {Ecological Economics},
  series = {Payments for Environmental Services in Developing and Developed Countries},
  urldate = {2017-11-22},
  date = {2008-05-01},
  pages = {663--674},
  keywords = {Ecosystem services,Conservation,Incentive mechanisms,Payments for environmental services},
  author = {Engel, Stefanie and Pagiola, Stefano and Wunder, Sven},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/65EZ5UJ5/S0921800908001420.html}
}

@inproceedings{RaamkumarMakingliteraturereview2016,
  title = {Making Literature Review and Manuscript Writing Tasks Easier for Novice Researchers through {{Rec4LRW}} System},
  abstract = {We demonstrate the recently built Rec4LRW system, meant for assisting researchers in three literature review and manuscript writing tasks. The system has been designed to be useful for all researchers, albeit the evaluation results show that it is more beneficial for research students and beginners. In this demonstration, we provide a walkthrough of the system by executing the tasks with sample research topics. The unique User-Interface (UI) and the task interconnectivity features are some of the highlighted aspects.},
  eventtitle = {2016 {{IEEE}}/{{ACM Joint Conference}} on {{Digital Libraries}} ({{JCDL}})},
  booktitle = {2016 {{IEEE}}/{{ACM Joint Conference}} on {{Digital Libraries}} ({{JCDL}})},
  date = {2016-06},
  pages = {229--230},
  keywords = {Bibliographies,Detection algorithms,interconnectivity features,Libraries,literature review,manuscript writing,novice researchers,reading list,Rec4LRW system,recommender systems,Recommender systems,scientific paper information retrieval,scientific paper recommender systems,shortlisting feature,UI,unique user interface,user interfaces},
  author = {Raamkumar, A. S. and Foo, S. and Pang, N.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/JWPM4TMQ/7559598.html}
}

@inproceedings{SesagiriRaamkumarMakingLiteratureReview2016,
  langid = {english},
  title = {Making {{Literature Review}} and {{Manuscript Writing Tasks Easier}} for {{Novice Researchers}} through {{Rec4LRW System}}},
  isbn = {978-1-4503-4229-2},
  url = {http://dl.acm.org/citation.cfm?doid=2910896.2925445},
  doi = {10.1145/2910896.2925445},
  publisher = {{ACM Press}},
  urldate = {2017-12-19},
  date = {2016},
  pages = {229--230},
  author = {Sesagiri Raamkumar, Aravind and Foo, Schubert and Pang, Natalie},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/FJ3LJPEP/07559598.pdf}
}

@article{KhazaeiSupportingacademicsearch2017,
  langid = {english},
  title = {Supporting Academic Search Tasks through Citation Visualization and Exploration},
  volume = {18},
  issn = {1432-5012, 1432-1300},
  url = {https://link.springer.com/article/10.1007/s00799-016-0170-x},
  doi = {10.1007/s00799-016-0170-x},
  abstract = {Despite ongoing advances in information retrieval algorithms, people continue to experience difficulties when conducting online searches within digital libraries. Because their information-seeking goals are often complex, searchers may experience difficulty in precisely describing what they are seeking. Current search interfaces provide limited support for navigating and exploring among the search results and helping searchers to more accurately describe what they are looking for. In this paper, we present a novel visual library search interface, designed with the goal of providing interactive support for common library search tasks and behaviours. This system takes advantage of the rich metadata available in academic collections and employs information visualization techniques to support search results evaluation, forward and backward citation exploration, and interactive query refinement.},
  number = {1},
  journaltitle = {International Journal on Digital Libraries},
  shortjournal = {Int J Digit Libr},
  urldate = {2017-12-19},
  date = {2017-03-01},
  pages = {59--72},
  author = {Khazaei, Taraneh and Hoeber, Orland},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/9XI7D8M9/Khazaei_Hoeber_2017_Supporting academic search tasks through citation visualization and exploration.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/G5GGDC67/10.html}
}

@article{HsinSearchingsourcingonline2016,
  title = {Searching and Sourcing Online Academic Literature: {{Comparisons}} of Doctoral Students and Junior Faculty in Education},
  volume = {40},
  issn = {1468-4527},
  url = {http://www.emeraldinsight.com.proxy3.library.mcgill.ca/doi/full/10.1108/OIR-11-2015-0354},
  doi = {10.1108/OIR-11-2015-0354},
  shorttitle = {Searching and Sourcing Online Academic Literature},
  number = {7},
  journaltitle = {Online Information Review},
  shortjournal = {Online Information Review},
  urldate = {2017-12-19},
  date = {2016-11-04},
  pages = {979--997},
  author = {Hsin, Ching-Ting and Cheng, Ying-Hsueh and Tsai, Chin-Chung},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/KBCENMQJ/Hsin et al_2016_Searching and sourcing online academic literature.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/36LJIHAZ/OIR-11-2015-0354.html}
}

@article{Levysystemsapproachconduct2006,
  title = {A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research.},
  volume = {9},
  journaltitle = {Informing Science},
  date = {2006},
  author = {Levy, Yair and Ellis, Timothy J.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/882U5JQ2/ConductingLiteratureReview.pdf}
}

@article{BaeConstructingSeminalPaper2014,
  title = {On {{Constructing Seminal Paper Genealogy}}},
  volume = {44},
  issn = {2168-2267},
  doi = {10.1109/TCYB.2013.2246565},
  abstract = {Let us consider that someone is starting a research on a topic that is unfamiliar to them. Which seminal papers have influenced the topic the most? What is the genealogy of the seminal papers in this topic? These are the questions that they can raise, which we try to answer in this paper. First, we propose an algorithm that finds a set of seminal papers on a given topic. We also address the performance and scalability issues of this sophisticated algorithm. Next, we discuss the measures to decide how much a paper is influenced by another paper. Then, we propose an algorithm that constructs a genealogy of the seminal papers by using the influence measure and citation information. Finally, through extensive experiments with a large volume of a real-world academic literature data, we show the effectiveness and efficiency of our approach.},
  number = {1},
  journaltitle = {IEEE Transactions on Cybernetics},
  date = {2014-01},
  pages = {54--65},
  keywords = {academic literature data,citation analysis,citation information,Cybernetics,Educational institutions,electronic publishing,Equations,influence measure,information retrieval,Market research,Mathematical model,Paper genealogy construction,Search engines,seminal paper finding,seminal paper genealogy,Vectors},
  author = {Bae, D. H. and Hwang, S. M. and Kim, S. W. and Faloutsos, C.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/27DNA9UY/Bae et al_2014_On Constructing Seminal Paper Genealogy.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/GR92GMM8/6479688.html}
}

@article{Yangtaskfocusedliterature2013,
  title = {A Task‐focused Literature Recommender System for Digital Libraries},
  volume = {37},
  issn = {1468-4527},
  url = {http://www.emeraldinsight.com.proxy3.library.mcgill.ca/doi/full/10.1108/OIR-10-2011-0172},
  doi = {10.1108/OIR-10-2011-0172},
  number = {4},
  journaltitle = {Online Information Review},
  shortjournal = {Online Information Review},
  urldate = {2017-12-19},
  date = {2013-08-02},
  pages = {581--601},
  author = {Yang, Wan-Shiou and Lin, Yi-Rong},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/72S2VWYX/Yang_Lin_2013_A task‐focused literature recommender system for digital libraries.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/PBE6XLCF/OIR-10-2011-0172.html}
}

@inproceedings{WangClaperRecommendclassical2010,
  title = {Claper: {{Recommend}} Classical Papers to Beginners},
  volume = {6},
  doi = {10.1109/FSKD.2010.5569227},
  shorttitle = {Claper},
  abstract = {Classical papers are of great help for beginners to get familiar with a new research area. However, digging them out is a difficult problem. This paper proposes Claper, a novel academic recommendation system based on two proven principles: the Principle of Download Persistence and the Principle of Citation Approaching (we prove them based on real-world datasets). The principle of download persistence indicates that classical papers have few decreasing download frequencies since they were published. The principle of citation approaching indicates that a paper which cites a classical paper is likely to cite citations of that classical paper. Our experimental results based on large-scale real-world datasets illustrate Claper can effectively recommend classical papers of high quality to beginners and thus help them enter their research areas.},
  eventtitle = {2010 {{Seventh International Conference}} on {{Fuzzy Systems}} and {{Knowledge Discovery}}},
  booktitle = {2010 {{Seventh International Conference}} on {{Fuzzy Systems}} and {{Knowledge Discovery}}},
  date = {2010-08},
  pages = {2777--2781},
  keywords = {academic recommendation system,citation analysis,citation approaching principle,Claper recommendation system,classical papers,Computer science,download persistence principle,Educational institutions,Electronic mail,Libraries,Measurement,Peer to peer computing,recommender systems,Training},
  author = {Wang, Y. and Zhai, E. and Hu, J. and Chen, Z.},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/8XVRMSAM/Wang et al_2010_Claper.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/B6HMY63I/5569227.html}
}

@article{SpeziInformationSeekingBehaviorDoctoral2016,
  title = {Is {{Information}}-{{Seeking Behavior}} of {{Doctoral Students Changing}}?: {{A Review}} of the {{Literature}} (2010–2015)},
  volume = {22},
  issn = {1361-4533},
  url = {https://doi.org/10.1080/13614533.2015.1127831},
  doi = {10.1080/13614533.2015.1127831},
  shorttitle = {Is {{Information}}-{{Seeking Behavior}} of {{Doctoral Students Changing}}?},
  abstract = {The advent of the Internet and networked communications in the last 15 years has arguably considerably changed the information behaviors of doctoral students, including the discovery process. Information seeking includes initiating a search, constructing search strategies, and locating and evaluating the identified sources. Current research on information-seeking behaviors is focusing on understanding how the Internet, social media, and other technological and communication-based changes, including mobile technologies, have changed the way students seek information in order to understand the information behaviors of the students of tomorrow. This article offers a review of the literature on information-seeking behaviors, with a particular focus on recent years (2010–2015). It aims to determine whether notable changes in the information-seeking behavior of doctoral students have emerged in recent years. The study shows that the information-seeking behaviors of doctoral students follow a steady trend, with some subtle changes, particularly in the (patchy) use of social media and networking sites. There appears to be more similarities than differences across disciplines in the information-seeking behaviors of doctoral students. Considerations to their information literacy skills are given to understand better the role supervisors and library staff can play to support the doctoral students population in the early stages of the research process.},
  number = {1},
  journaltitle = {New Review of Academic Librarianship},
  urldate = {2017-12-19},
  date = {2016-01-02},
  pages = {78--106},
  keywords = {doctoral students,information behaviors,information seeking,researchers},
  author = {Spezi, Valérie},
  file = {/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/DD5BCZSL/Spezi_2016_Is Information-Seeking Behavior of Doctoral Students Changing.pdf;/home/maximerivest/.mozilla/firefox/pq3i8ysc.default/zotero/storage/JAMQJVN7/13614533.2015.html}
}

repository: lucaspedroni/scimeetr

repo_name: lucaspedroni/scimeetr