Benoît Gauzens

35 papers receiving 1.0k citations

Peers

Benoît Gauzens
Comparison fields: 5 of 63
  • Ecology, Evolution, Behavior and Systematics 628
  • Ecological Modeling 118
  • Nature and Landscape Conservation 311
  • Insect Science 232
  • Ecology 299
Replace Newton P. U. Barbosa with:
Newton P. U. Barbosa Brazil
Ivan Hadrián Tuf Czechia
Carlos Frankl Sperber Brazil
Kerri M. Crawford United States
Marko Hyvärinen Finland
David Figueroa Chile
Angela Laws United States
Marjan Speelmans Belgium
Guadalupe Peralta New Zealand
Sami Aikio Finland
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Gauzens

Since Specialization
Citations

This map shows the geographic impact of Benoît Gauzens's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benoît Gauzens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Gauzens more than expected).

Fields of papers citing papers by Benoît Gauzens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoît Gauzens. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benoît Gauzens. The network helps show where Benoît Gauzens may publish in the future.

Co-authors

The 25 scholars most cited alongside Benoît Gauzens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoît Gauzens Line = papers co-authored together Benoît Gauzens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013190
2 2017162
3 202097
4 202090
5 201878
6 202036
7 200936
8 201535
9 202130
10 201329
11 201523
12 202222
13 202319
14 202419
15 202318
16 202315
17 202414
18 202512
19 20239
20 20258

About Benoît Gauzens

Benoît Gauzens is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Nature and Landscape Conservation, Ecological Modeling and Global and Planetary Change, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant and animal studies (22 papers), Isotope Analysis in Ecology (13 papers), Species Distribution and Climate Change (11 papers), Ecology and Vegetation Dynamics Studies (10 papers), Physiological and biochemical adaptations (6 papers), Fish Ecology and Management Studies (4 papers), Plant Parasitism and Resistance (4 papers) and Evolutionary Game Theory and Cooperation (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (628 citations), Ecological Modeling (118 citations), Nature and Landscape Conservation (311 citations), Insect Science (232 citations) and Ecology (299 citations). Benoît Gauzens has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Élisa Thébault, Benoît Geslin, Isabelle Dajoz, Ulrich Brose, Gérard Lacroix, Stéphane Legendre, Andrew D. Barnes, Xavier Lazzaro, Mickaël Henry and Benjamin Rosenbaum. Their work appears in journals such as Nature Communications, Oikos, Methods in Ecology and Evolution, Journal of Animal Ecology and Advances in ecological research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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