Fred C. Dyer

2.5k citations
42 papers · 1.5k · h-index 20

Impact in

Papers in

Fred C. Dyer

41 papers receiving 1.4k citations

Peers

Fred C. Dyer
Comparison fields: 5 of 91
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Insect Science 533
  • Genetics 963
  • Cellular and Molecular Neuroscience 373
  • Developmental Biology 32
Replace Guy Beugnon with:
Guy Beugnon France
Uwe Greggers Germany
M. Lehrer Switzerland
Rudolf Jander United States
Mathieu Lihoreau France
Wolfgang H. Kirchner Germany
Ajay Narendra Australia
Silke Stach Germany
Aurore Avarguès‐Weber France
Colette Rivault France
Fred C. Dyer relative to Guy Beugnon France Guy Beugnon's profile →
Citations per field
00.5×2.6×
Guy Beugnon · 1×
Citations per year

Countries citing papers authored by Fred C. Dyer

Since Specialization
Citations

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

Fields of papers citing papers by Fred C. Dyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred C. Dyer. 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 Fred C. Dyer. The network helps show where Fred C. Dyer may publish in the future.

Co-authors

The 20 scholars most cited alongside Fred C. Dyer, 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 Fred C. Dyer Line = papers co-authored together Fred C. Dyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002271
2 1999117
3 1991116
4 198182
5 199681
6
Predator confusion is sufficient to evolve swarming behaviour
201681
7 199478
8 199466
9 198761
10 198559
11 199153
12 198748
13 200238
14 201034
15 199334
16 198926
17 198523
18 199622
19 201120
20
Spatial cognition and navigation in insects.
199419

About Fred C. Dyer

Fred C. Dyer is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Insect Science, Cellular and Molecular Neuroscience and Sociology and Political Science, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant and animal studies (32 papers), Insect and Arachnid Ecology and Behavior (32 papers), Insect and Pesticide Research (15 papers), Neurobiology and Insect Physiology Research (13 papers), Evolutionary Game Theory and Cooperation (4 papers), Animal Behavior and Reproduction (4 papers), Evolution and Genetic Dynamics (3 papers) and Animal and Plant Science Education (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.1k citations), Insect Science (533 citations), Genetics (963 citations), Cellular and Molecular Neuroscience (373 citations) and Developmental Biology (32 citations). Fred C. Dyer has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Thomas D. Seeley, Elizabeth A. Capaldi, James L. Gould, Jennifer Dickinson, Arend Hintze, Randal S. Olson, Christoph Adami, David B. Knoester, Thomas Getty and Cynthia A. Wei. Their work appears in journals such as Animal Behaviour, Journal of Experimental Biology, Behavioral Ecology and Sociobiology, Die Naturwissenschaften and Behavioral 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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