K.G.T. Pulman

16 total papers · 1.1k total citations
13 papers, 875 citations indexed

About

K.G.T. Pulman is a scholar working on Ecology, Evolution, Behavior and Systematics, Social Psychology and Ecology. According to data from OpenAlex, K.G.T. Pulman has authored 13 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, Evolution, Behavior and Systematics, 3 papers in Social Psychology and 3 papers in Ecology. Recurrent topics in K.G.T. Pulman's work include Animal Behavior and Reproduction (4 papers), Physiological and biochemical adaptations (3 papers) and Reproductive biology and impacts on aquatic species (3 papers). K.G.T. Pulman is often cited by papers focused on Animal Behavior and Reproduction (4 papers), Physiological and biochemical adaptations (3 papers) and Reproductive biology and impacts on aquatic species (3 papers). K.G.T. Pulman collaborates with scholars based in United Kingdom, Sweden and United States. K.G.T. Pulman's co-authors include T.G. Pottinger, Christina Sørensen, Øyvind Øverli, Wayne J. Korzan, Göran Nilsson, Cliff H. Summers, Svante Winberg, Joachim Schjolden, Peter Matthiessen and T. Pepper and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Neuroscience.

In The Last Decade

K.G.T. Pulman

13 papers receiving 851 citations

Author Peers

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

Author Last Decade Papers Cites
K.G.T. Pulman 353 275 179 165 153 13 875
Thiago Acosta Oliveira 125 0.4× 173 0.6× 187 1.0× 108 0.7× 146 1.0× 24 797
Joachim Schjolden 342 1.0× 389 1.4× 288 1.6× 300 1.8× 129 0.8× 19 895
Thiago Marques Brito 193 0.5× 168 0.6× 89 0.5× 48 0.3× 206 1.3× 8 1.0k
M. Alonso‐Bedate 124 0.4× 240 0.9× 186 1.0× 301 1.8× 73 0.5× 43 878
Matías Pandolfi 250 0.7× 125 0.5× 114 0.6× 316 1.9× 132 0.9× 53 1.0k
Katrin Lundstedt‐Enkel 183 0.5× 123 0.4× 49 0.3× 86 0.5× 98 0.6× 28 982
Jake M. Martin 183 0.5× 180 0.7× 139 0.8× 62 0.4× 91 0.6× 46 1.1k
Todd S. Sperry 412 1.2× 243 0.9× 40 0.2× 54 0.3× 94 0.6× 14 837
Katharine Semsar 287 0.8× 119 0.4× 67 0.4× 61 0.4× 352 2.3× 18 928
João Gabriel Santos da Rosa 84 0.2× 187 0.7× 245 1.4× 231 1.4× 53 0.3× 25 712

Countries citing papers authored by K.G.T. Pulman

Since Specialization
Citations

This map shows the geographic impact of K.G.T. Pulman'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 K.G.T. Pulman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.G.T. Pulman more than expected).

Fields of papers citing papers by K.G.T. Pulman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.G.T. Pulman. 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 K.G.T. Pulman. The network helps show where K.G.T. Pulman may publish in the future.

Co-authorship network of co-authors of K.G.T. Pulman

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