Guy Beugnon

60 papers receiving 1.5k citations

Peers

Guy Beugnon
Comparison fields: 5 of 69
  • Automotive Engineering 414
  • Genetics 990
  • Cellular and Molecular Neuroscience 257
  • Ecology, Evolution, Behavior and Systematics 155
  • Endocrine and Autonomic Systems 29
Replace Ajay Narendra with:
Ajay Narendra Australia
Virginie Durier France
Basil el Jundi Germany
Ernst‐August Seyfarth Germany
Jochen Smolka Sweden
R�diger Wehner Switzerland
Harald E. Esch United States
Sebastian Schwarz Australia
Bernhard Ronacher Germany
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Citations per field
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Citations per year

Countries citing papers authored by Guy Beugnon

Since Specialization
Citations

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

Fields of papers citing papers by Guy Beugnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011119
2 2009104
3 2011102
4 201097
5 199973
6 201167
7 199761
8 199452
9 199844
10 199943
11 200542
12 199239
13 199338
14 200538
15 200837
16 198835
17 198833
18 198832
19 200131
20 199629

About Guy Beugnon

Guy Beugnon is a scholar working on Genetics, Automotive Engineering, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (41 papers), Spatial Cognition and Navigation (14 papers), Neurobiology and Insect Physiology Research (12 papers), Orthoptera Research and Taxonomy (7 papers), Crustacean biology and ecology (6 papers), Visual perception and processing mechanisms (3 papers), Circadian rhythm and melatonin (2 papers) and Spaceflight effects on biology (1 paper). The work is most often cited by research in Automotive Engineering (414 citations), Genetics (990 citations), Cellular and Molecular Neuroscience (257 citations), Ecology, Evolution, Behavior and Systematics (155 citations) and Endocrine and Autonomic Systems (29 citations). Guy Beugnon has collaborated with scholars based in France, Mexico and Australia. Frequent co-authors include Antoine Wystrach, Jean-Paul Lachaud, Bertrand Schatz, Ken Cheng, Alain Déjean, Vincent Fourcassié, Thomas Stephen Collett, Raymond Campan, Patrick Schultheiss and Sebastian Schwarz. Their work appears in journals such as Insectes Sociaux, Behavioural Processes, Journal of Insect Behavior, Journal of Comparative Physiology A and Journal of Experimental Biology.

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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