John R. Speakman

47 total papers · 2.4k total citations
35 papers, 1.9k citations indexed

About

John R. Speakman is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, John R. Speakman has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 20 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Nature and Landscape Conservation. Recurrent topics in John R. Speakman's work include Bat Biology and Ecology Studies (12 papers), Animal Behavior and Reproduction (9 papers) and Physiological and biochemical adaptations (7 papers). John R. Speakman is often cited by papers focused on Bat Biology and Ecology Studies (12 papers), Animal Behavior and Reproduction (9 papers) and Physiological and biochemical adaptations (7 papers). John R. Speakman collaborates with scholars based in United Kingdom, United States and Canada. John R. Speakman's co-authors include Maria S. Johnson, Elżbieta Król, Susan C. Thomson, Colin Selman, Popko Wiersma, Simon Verhulst, J. A. McLean, Paul A. Racey, Stan Boutin and Murray M. Humphries and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Ecology and Scientific Reports.

In The Last Decade

John R. Speakman

34 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
John R. Speakman 1.2k 1.0k 410 170 165 35 1.9k
Britt J. Heidinger 1.1k 0.9× 1.2k 1.1× 725 1.8× 135 0.8× 130 0.8× 61 2.2k
Bruce A. Wunder 1.3k 1.1× 705 0.7× 285 0.7× 265 1.6× 139 0.8× 44 1.9k
Mario Rosenmann 1.4k 1.2× 1.1k 1.0× 408 1.0× 216 1.3× 83 0.5× 63 1.9k
Fritz Jung 888 0.7× 424 0.4× 356 0.9× 159 0.9× 119 0.7× 19 1.8k
Henry J. Harlow 1.1k 1.0× 853 0.8× 602 1.5× 160 0.9× 101 0.6× 86 2.3k
Claudia Bieber 1.1k 1.0× 874 0.9× 198 0.5× 188 1.1× 118 0.7× 41 1.7k
Richard Buchholz 540 0.5× 571 0.6× 216 0.5× 134 0.8× 155 0.9× 62 1.7k
Peter Morrison 1.6k 1.4× 1.3k 1.2× 659 1.6× 247 1.5× 120 0.7× 101 2.7k
Jack W. Hudson 1.1k 1.0× 978 1.0× 410 1.0× 75 0.4× 69 0.4× 35 1.6k
Richard E. MacMillen 1.6k 1.4× 1.2k 1.2× 230 0.6× 192 1.1× 86 0.5× 49 2.1k

Countries citing papers authored by John R. Speakman

Since Specialization
Citations

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

Fields of papers citing papers by John R. Speakman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Speakman. 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 John R. Speakman. The network helps show where John R. Speakman may publish in the future.

Co-authorship network of co-authors of John R. Speakman

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Speakman. A scholar is included among the top collaborators of John R. Speakman 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 John R. Speakman. John R. Speakman 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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