Fred C. Dyer

3.1k citations
62 papers · 2.2k · h-index 23

Impact in

Papers in

Fred C. Dyer

58 papers receiving 2.0k citations

Peers

Fred C. Dyer
Comparison fields: 5 of 127
  • Ecology, Evolution, Behavior and Systematics 1.3k
  • Insect Science 605
  • Genetics 1.2k
  • Cellular and Molecular Neuroscience 505
  • Developmental Biology 49
Replace Uwe Greggers with:
Uwe Greggers Germany
Aurore Avarguès‐Weber France
Frédéric Mery France
Wolfgang H. Kirchner Germany
James A. R. Marshall United Kingdom
Charles I. Abramson United States
Arnim Jenett France
Karl von Frisch Germany
Natalie Hempel de Ibarra United Kingdom
Adrian G. Dyer Australia
Fred C. Dyer relative to Uwe Greggers Germany Uwe Greggers's profile →
Citations per field
00.5×1.5×
Uwe Greggers · 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 25 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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002317
2 1991155
3 1999129
4 2020116
5 1981109
6 1994104
7 199691
8 199479
9 198572
10 198770
11 199665
12 199163
13 200158
14 201555
15
Honey Bee Navigation
198353
16 201450
17 198750
18 200243
19 199339
20 201039

About Fred C. Dyer

Fred C. Dyer is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science, Cellular and Molecular Neuroscience and Sociology and Political Science, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Plant and animal studies (41 papers), Insect and Arachnid Ecology and Behavior (40 papers), Insect and Pesticide Research (19 papers), Neurobiology and Insect Physiology Research (17 papers), Evolutionary Game Theory and Cooperation (10 papers), Evolution and Genetic Dynamics (7 papers), Animal Behavior and Reproduction (5 papers) and Animal and Plant Science Education (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.3k citations), Insect Science (605 citations), Genetics (1.2k citations), Cellular and Molecular Neuroscience (505 citations) and Developmental Biology (49 citations). Fred C. Dyer has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Thomas Dyer Seeley, James L. Gould, Elizabeth A. Capaldi, Jennifer Alvarez Dickinson, Christoph Adami, Sridhar Mahadevan, Randal S. Olson, Wei Chen, GENE E. ROBINSON and John M. Henderson. Their work appears in journals such as Animal Behaviour, Journal of Experimental Biology, Behavioral Ecology and Sociobiology, Behavioral Ecology and Journal of Comparative Physiology A.

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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