William G. Reeder

29 total papers · 574 total citations
23 papers, 435 citations indexed

About

William G. Reeder is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Paleontology. According to data from OpenAlex, William G. Reeder has authored 23 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 10 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Paleontology. Recurrent topics in William G. Reeder's work include Bat Biology and Ecology Studies (8 papers), Animal Ecology and Behavior Studies (5 papers) and Physiological and biochemical adaptations (2 papers). William G. Reeder is often cited by papers focused on Bat Biology and Ecology Studies (8 papers), Animal Ecology and Behavior Studies (5 papers) and Physiological and biochemical adaptations (2 papers). William G. Reeder collaborates with scholars based in United States and Ecuador. William G. Reeder's co-authors include Raymond B. Cowles, Susan E. Riechert, Kenneth S. Norris, William S. Laughlin, Mary Stewart, Donald H. Rusch, W. B. Quay, Richard S. Peterson, Kenneth E. Stager and Tom J. Cade and has published in prestigious journals such as Science, Ecology and Journal of Animal Ecology.

In The Last Decade

William G. Reeder

21 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
William G. Reeder 311 197 132 56 42 23 435
P. Quentin Tomich 370 1.2× 163 0.8× 116 0.9× 36 0.6× 57 1.4× 25 485
W. J. M. Vestjens 287 0.9× 153 0.8× 101 0.8× 49 0.9× 41 1.0× 26 418
Russell E. Mumford 308 1.0× 280 1.4× 71 0.5× 55 1.0× 47 1.1× 40 488
Anthony S. Cheke 247 0.8× 185 0.9× 171 1.3× 48 0.9× 45 1.1× 39 473
Michalina Pucek 342 1.1× 124 0.6× 129 1.0× 43 0.8× 49 1.2× 11 428
Kenneth N. Geluso 300 1.0× 285 1.4× 48 0.4× 48 0.9× 35 0.8× 19 412
David R. Martínez 308 1.0× 87 0.4× 109 0.8× 39 0.7× 35 0.8× 14 378
Giovanni Nachtigall Maurício 245 0.8× 104 0.5× 172 1.3× 75 1.3× 58 1.4× 26 419
José L. Yáñez 373 1.2× 107 0.5× 134 1.0× 55 1.0× 44 1.0× 16 441
Alicia V. Linzey 338 1.1× 98 0.5× 129 1.0× 35 0.6× 59 1.4× 32 446

Countries citing papers authored by William G. Reeder

Since Specialization
Citations

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

Fields of papers citing papers by William G. Reeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Reeder. 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 William G. Reeder. The network helps show where William G. Reeder may publish in the future.

Co-authorship network of co-authors of William G. Reeder

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Reeder. A scholar is included among the top collaborators of William G. Reeder 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 William G. Reeder. William G. Reeder 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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