Benoît Guénard
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
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- Plant and animal studies
- Animal Behavior and Reproduction
Papers in
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- Species Distribution and Climate Change 24
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- Plant and animal studies 93
- Animal Behavior and Reproduction 10
- Fossil Insects in Amber 8
- Co-authors
- Evan P. EconomoRobert R. DunnMark K. L. WongMichael D. WeiserNitish NarulaOwen T. LewisEli M. SarnatNicholas R. Friedman
- Journals
- ZooKeys (12 papers)Zootaxa (10 papers)Journal of Biogeography (6 papers)PLoS ONE (6 papers)Proceedings of the Royal Society B Biological Sciences (4 papers)
- Partner nations
- Hong KongJapanUnited States
In The Last Decade
Benoît Guénard
112 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Ecological Modeling 492
- Ecology, Evolution, Behavior and Systematics 1.8k
- Genetics 1.8k
- Nature and Landscape Conservation 620
- Insect Science 526
Countries citing papers authored by Benoît Guénard
This map shows the geographic impact of Benoît Guénard'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 Guénard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Guénard more than expected).
Fields of papers citing papers by Benoît Guénard
This network shows the impact of papers produced by Benoît Guénard. 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 Guénard. The network helps show where Benoît Guénard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benoît Guénard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2023 | 30 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 0 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 4 | |
| 12 | The abundance, biomass, and distribution of ants on Earth Hit paper breakdown → | 2022 | 117 |
| 13 | 2022 | 11 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 28 | |
| 17 | 2019 | 29 | |
| 18 | 2019 | 16 | |
| 19 | 2018 | 3 | |
| 20 | 2016 | 9 |
About Benoît Guénard
Benoît Guénard is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Genetics, Social Psychology and Insect Science, having authored 119 papers that have together received 2.9k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (103 papers), Plant and animal studies (93 papers), Animal and Plant Science Education (31 papers), Species Distribution and Climate Change (24 papers), Ecology and Vegetation Dynamics Studies (16 papers), Insect and Pesticide Research (13 papers), Animal Behavior and Reproduction (10 papers) and Fossil Insects in Amber (8 papers). The work is most often cited by research in Ecological Modeling (492 citations), Ecology, Evolution, Behavior and Systematics (1.8k citations), Genetics (1.8k citations), Nature and Landscape Conservation (620 citations) and Insect Science (526 citations). Benoît Guénard has collaborated with scholars based in Hong Kong, Japan and United States. Frequent co-authors include Evan P. Economo, Robert R. Dunn, Mark K. L. Wong, Michael D. Weiser, Nitish Narula, Owen T. Lewis, Eli M. Sarnat, Nicholas R. Friedman, François Brassard and Gareth D. Lennox. Their work appears in journals such as ZooKeys, Zootaxa, Journal of Biogeography, PLoS ONE and Proceedings of the Royal Society B Biological Sciences.
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.