Thomas S. Ray

2.6k citations
58 papers · 1.5k · h-index 21

Impact in

Papers in

Thomas S. Ray

57 papers receiving 1.4k citations

Peers

Thomas S. Ray
Comparison fields: 5 of 136
  • Ecology, Evolution, Behavior and Systematics 355
  • Clinical Psychology 279
  • Biological Psychiatry 26
  • Cellular and Molecular Neuroscience 168
  • Toxicology 29
Replace Michael Davison with:
Michael Davison New Zealand
Randy L. Smith United States
R. A. Koelling United States
David E. Presti United States
Jonathan Young United Kingdom
Clark Jeffries United States
Eric W. Holman United States
Peter Pütz Austria
Michael O’Shea United Kingdom
W. R. Klemm United States
Thomas S. Ray relative to Michael Davison New Zealand Michael Davison's profile →
Citations per field
00.5×7.3×
Michael Davison · 1×
Citations per year

Countries citing papers authored by Thomas S. Ray

Since Specialization
Citations

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

Fields of papers citing papers by Thomas S. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas S. Ray. 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 Thomas S. Ray. The network helps show where Thomas S. Ray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010218
2 2000161
3 1993106
4 201891
5 197586
6 200566
7 199458
8 199257
9 201047
10 196344
11 199339
12 199237
13 199035
14 198731
15 198030
16 198729
17
Is It Alive or Is It GA
199127
18 196727
19 202426
20 198723

About Thomas S. Ray

Thomas S. Ray is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Sociology and Political Science, Artificial Intelligence and Psychiatry and Mental health, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant and animal studies (13 papers), Plant Diversity and Evolution (13 papers), Evolutionary Game Theory and Cooperation (7 papers), Schizophrenia research and treatment (6 papers), Evolutionary Algorithms and Applications (6 papers), Plant and Fungal Species Descriptions (5 papers), Origins and Evolution of Life (5 papers) and Plant Taxonomy and Phylogenetics (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (355 citations), Clinical Psychology (279 citations), Biological Psychiatry (26 citations), Cellular and Molecular Neuroscience (168 citations) and Toxicology (29 citations). Thomas S. Ray has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Donald R. Strong, Ivan Tanev, Andrzej Buller, Mervin L. Clark, Takashi Ikegami, John S. McCaskill, Steen Rasmussen, Norman H. Packard, Mark A. Bedau and Christoph Adami. Their work appears in journals such as American Journal of Botany, Artificial Life, Complexity, PLoS ONE and Science.

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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