J. David Van Dyken

31 total papers · 1.3k total citations
25 papers, 841 citations indexed

About

J. David Van Dyken is a scholar working on Genetics, Sociology and Political Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, J. David Van Dyken has authored 25 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 11 papers in Sociology and Political Science and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in J. David Van Dyken's work include Evolution and Genetic Dynamics (14 papers), Evolutionary Game Theory and Cooperation (11 papers) and Plant and animal studies (6 papers). J. David Van Dyken is often cited by papers focused on Evolution and Genetic Dynamics (14 papers), Evolutionary Game Theory and Cooperation (11 papers) and Plant and animal studies (6 papers). J. David Van Dyken collaborates with scholars based in United States, Switzerland and Canada. J. David Van Dyken's co-authors include Michael J. Wade, Armin P. Moczek, Emilie C. Snell‐Rood, Tami Cruickshank, Michael M. Desai, Jeff Smith, Keenan M. L. Mack, Melanie J. I. Müller, Peter C. Zee and Timothy A. Linksvayer and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

J. David Van Dyken

25 papers receiving 827 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J. David Van Dyken	529	325	281	164	121	25	841
Jeremy Van Cleve	514 1.0×	248 0.8×	468 1.7×	168 1.0×	80 0.7×	32	907
Francesca Fiegna	523 1.0×	220 0.7×	337 1.2×	376 2.3×	263 2.2×	14	922
Claus Rueffler	646 1.2×	464 1.4×	369 1.3×	84 0.5×	227 1.9×	24	1.0k
Jeremy A. Draghi	675 1.3×	220 0.7×	168 0.6×	431 2.6×	157 1.3×	31	1.0k
J. Maynard Smith	576 1.1×	424 1.3×	160 0.6×	89 0.5×	251 2.1×	10	958
Stephan Peischl	809 1.5×	243 0.7×	100 0.4×	182 1.1×	158 1.3×	34	1.0k
Bram Kuijper	371 0.7×	587 1.8×	111 0.4×	91 0.6×	237 2.0×	36	1.0k
Carlo Matessi	447 0.8×	222 0.7×	372 1.3×	89 0.5×	78 0.6×	25	715
Alison B. Duncan	413 0.8×	230 0.7×	111 0.4×	106 0.6×	274 2.3×	37	827
Katrin Hammerschmidt	357 0.7×	128 0.4×	154 0.5×	191 1.2×	431 3.6×	30	862

Countries citing papers authored by J. David Van Dyken

Since Specialization

Citations

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

Fields of papers citing papers by J. David Van Dyken

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. David Van Dyken. 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 J. David Van Dyken. The network helps show where J. David Van Dyken may publish in the future.

Co-authorship network of co-authors of J. David Van Dyken

This figure shows the co-authorship network connecting the top 25 collaborators of J. David Van Dyken. A scholar is included among the top collaborators of J. David Van Dyken based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. David Van Dyken. J. David Van Dyken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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