Maxim Larrivée

25 papers receiving 679 citations

Peers

Maxim Larrivée
Comparison fields: 5 of 53
  • Ecological Modeling 239
  • Nature and Landscape Conservation 325
  • Insect Science 240
  • Ecology, Evolution, Behavior and Systematics 284
  • Ecology 267
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Graham A. Montgomery United States
Shyama Pagad New Zealand
Scott A. Lassau Australia
Greg P. A. Lamarre United States
Jussi Päivinen Finland
Douglas A. Keinath United States
Sallie Bailey United Kingdom
Javier Gutiérrez Illán United States
Victoria Werenkraut Argentina
Katelyn T. Faulkner South Africa
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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 200798
2 201777
3 201377
4 200572
5 201454
6 200853
7 200851
8 200545
9 200532
10 201830
11 201119
12 201019
13 201918
14 201913
15 202112
16 20098
17 20244
18 20214
19 20234
20 20234

About Maxim Larrivée

Maxim Larrivée is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecological Modeling, Nature and Landscape Conservation, Insect Science and Ecology, having authored 28 papers that have together received 704 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), Insect and Pesticide Research (3 papers), Fire effects on ecosystems (3 papers) and Freshwater macroinvertebrate diversity and ecology (2 papers). The work is most often cited by research in Ecological Modeling (239 citations), Nature and Landscape Conservation (325 citations), Insect Science (240 citations), Ecology, Evolution, Behavior and Systematics (284 citations) and Ecology (267 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 T. Kerr, Kathleen L. Prudic, Rebecca Hutchinson, Kent P. McFarland, Tara E. Sackett and Zachary A. Sylvain. Their work appears in journals such as Frontiers in Ecology and Evolution, FACETS, Forest Ecology and Management, Insects and Restoration 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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