Janet S. Shellman-Reeve

12 total papers · 663 total citations
11 papers, 347 citations indexed

About

Janet S. Shellman-Reeve is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Social Psychology. According to data from OpenAlex, Janet S. Shellman-Reeve has authored 11 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Genetics and 2 papers in Social Psychology. Recurrent topics in Janet S. Shellman-Reeve's work include Plant and animal studies (10 papers), Insect and Arachnid Ecology and Behavior (8 papers) and Animal Behavior and Reproduction (7 papers). Janet S. Shellman-Reeve is often cited by papers focused on Plant and animal studies (10 papers), Insect and Arachnid Ecology and Behavior (8 papers) and Animal Behavior and Reproduction (7 papers). Janet S. Shellman-Reeve collaborates with scholars based in United States. Janet S. Shellman-Reeve's co-authors include H. Kern Reeve, Paul W. Sherman, George J. Gamboa, Stephen T. Emlen, Peter H. Wrege and Tracy L. Wacker and has published in prestigious journals such as Nature, The American Naturalist and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Janet S. Shellman-Reeve

11 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Janet S. Shellman-Reeve 307 251 108 41 40 11 347
Bradley D. Worden 288 0.9× 228 0.9× 164 1.5× 22 0.5× 44 1.1× 8 383
Tim P. Batchelor 274 0.9× 123 0.5× 235 2.2× 45 1.1× 82 2.0× 9 400
Gavin Shreeves 337 1.1× 274 1.1× 104 1.0× 57 1.4× 48 1.2× 8 368
Tomas Kay 133 0.4× 250 1.0× 82 0.8× 36 0.9× 28 0.7× 15 343
Lena Grinsted 225 0.7× 210 0.8× 61 0.6× 38 0.9× 25 0.6× 22 299
Edward M. Sykes 225 0.7× 135 0.5× 172 1.6× 82 2.0× 19 0.5× 8 339
Kevin R. Abbott 316 1.0× 164 0.7× 101 0.9× 29 0.7× 37 0.9× 8 370
J. Wantia 250 0.8× 132 0.5× 55 0.5× 84 2.0× 42 1.1× 8 326
Erika H. Dawson 238 0.8× 160 0.6× 58 0.5× 70 1.7× 50 1.3× 12 360
Jonathan Schneider 211 0.7× 216 0.9× 98 0.9× 14 0.3× 19 0.5× 16 377

Countries citing papers authored by Janet S. Shellman-Reeve

Since Specialization
Citations

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

Fields of papers citing papers by Janet S. Shellman-Reeve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet S. Shellman-Reeve. 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 Janet S. Shellman-Reeve. The network helps show where Janet S. Shellman-Reeve may publish in the future.

Co-authorship network of co-authors of Janet S. Shellman-Reeve

This figure shows the co-authorship network connecting the top 25 collaborators of Janet S. Shellman-Reeve. A scholar is included among the top collaborators of Janet S. Shellman-Reeve 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 Janet S. Shellman-Reeve. Janet S. Shellman-Reeve 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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