Mathieu Molet

1.1k citations
40 papers · 790 · h-index 15

Impact in

Papers in

Mathieu Molet

37 papers receiving 775 citations

Peers

Mathieu Molet
Comparison fields: 5 of 43
  • Ecology, Evolution, Behavior and Systematics 687
  • Genetics 714
  • Insect Science 253
  • Ecological Modeling 13
  • Cellular and Molecular Neuroscience 43
Replace Brendon Elias Boudinot with:
Brendon Elias Boudinot Germany
Else J. Fjerdingstad Switzerland
Jan Křeček United States
Fernando Barbosa Noll Brazil
Kathryn B. McNamara Australia
David Laloi France
Nikolai J. Tatarnic Australia
Félix Baumgarten Rosumek Brazil
Valerie Krishna United States
Theresa C. Wossler South Africa
Mathieu Molet relative to Brendon Elias Boudinot Germany Brendon Elias Boudinot's profile →
Citations per field
00.5×2×3×3.7×
Brendon Elias Boudinot · 1×
Citations per year

Countries citing papers authored by Mathieu Molet

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Molet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012133
2 201278
3 200968
4 200868
5 200861
6 200631
7 200931
8 201730
9 201427
10 201527
11 201723
12 202023
13 200821
14 200618
15 202015
16 200615
17 201713
18 202011
19 200711
20 200510

About Mathieu Molet

Mathieu Molet is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science, Management, Monitoring, Policy and Law and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 790 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (38 papers), Plant and animal studies (32 papers), Animal Behavior and Reproduction (20 papers), Insect and Pesticide Research (13 papers), Insect behavior and control techniques (1 paper), Chromosomal and Genetic Variations (1 paper), Rangeland Management and Livestock Ecology (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (687 citations), Genetics (714 citations), Insect Science (253 citations), Ecological Modeling (13 citations) and Cellular and Molecular Neuroscience (43 citations). Mathieu Molet has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Christian Peeters, Claudie Doums, Lars Chıttka, Nigel E. Raine, Thibaud Monnin, Brian Lee Fisher, Adam L. Cronin, Diana E. Wheeler, Ralph J. Stelzer and Minus van Baalen. Their work appears in journals such as Insectes Sociaux, Biological Journal of the Linnean Society, Behavioral Ecology and Sociobiology, Animal Behaviour and Urban Ecosystems.

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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