Maxim Larrivée

25 papers receiving 702 citations

Peers

Maxim Larrivée
Comparison fields: 5 of 54
  • Ecological Modeling 250
  • Nature and Landscape Conservation 333
  • Insect Science 245
  • Ecology, Evolution, Behavior and Systematics 289
  • Ecology 277
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Graham A. Montgomery United States
Alessandro Gentile Germany
Scott A. Lassau Australia
Greg P. A. Lamarre United States
Douglas A. Keinath United States
Neville Winchester Canada
Katelyn T. Faulkner South Africa
Joanne M. Monks New Zealand
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Scott R. Swengel United States
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Citations per field
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Citations per year

Countries citing papers authored by Maxim Larrivée

Since Specialization
Citations

This map shows the geographic impact of Maxim Larrivée'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 Maxim Larrivée with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Larrivée more than expected).

Fields of papers citing papers by Maxim Larrivée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxim Larrivée. 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 Maxim Larrivée. The network helps show where Maxim Larrivée may publish in the future.

Co-authors

The 25 scholars most cited alongside Maxim Larrivée, 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 Maxim Larrivée Line = papers co-authored together Maxim Larrivée links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007111
2 201780
3 201377
4 200574
5 201458
6 200853
7 200852
8 200544
9 200534
10 201832
11 201019
12 201119
13 201917
14 202113
15 201912
16 20099
17 20234
18 20204
19 20234
20 20184

About Maxim Larrivée

Maxim Larrivée is a scholar working on Ecological Modeling, Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics, Insect Science and Ecology, having authored 28 papers that have together received 731 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (14 papers), Plant and animal studies (13 papers), Ecology and Vegetation Dynamics Studies (12 papers), Forest Ecology and Biodiversity Studies (7 papers), Animal and Plant Science Education (4 papers), Fire effects on ecosystems (3 papers), Insect and Pesticide Research (3 papers) and Freshwater macroinvertebrate diversity and ecology (2 papers). The work is most often cited by research in Ecological Modeling (250 citations), Nature and Landscape Conservation (333 citations), Insect Science (245 citations), Ecology, Evolution, Behavior and Systematics (289 citations) and Ecology (277 citations). Maxim Larrivée has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Christopher M. Buddle, Pierre Drapeau, Lenore Fahrig, Michel Saint‐Germain, Jeremy Thomas Kerr, Kathleen L. Prudic, Rebecca Hutchinson, Kent P. McFarland, Tara E. Sackett and Zachary A. Sylvain. Their work appears in journals such as Forest Ecology and Management, Frontiers in Ecology and Evolution, Insects, FACETS and Journal of Applied Ecology.

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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