Mark Broom

163 papers receiving 3.3k citations

Peers

Mark Broom
Comparison fields: 5 of 123
  • Ecology, Evolution, Behavior and Systematics 849
  • Sociology and Political Science 1.4k
  • Genetics 414
  • Ecology 317
  • Oceanography 147
Replace István Scheuring with:
István Scheuring Hungary
Régis Ferrière France
Corina E. Tarnita United States
Jin Yoshimura Japan
Stefan A.H. Geritz Finland
Géza Meszéna Hungary
Éva Kisdi Finland
Richard E. Michod United States
Vlastimil Křivan A Czechia
Dan Cohen Israel
Mark Broom relative to István Scheuring Hungary István Scheuring's profile →
Citations per field
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István Scheuring · 1×
Citations per year

Countries citing papers authored by Mark Broom

Since Specialization
Citations

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

Fields of papers citing papers by Mark Broom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Broom. 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 Mark Broom. The network helps show where Mark Broom may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013185
2 2006152
3 2008138
4 2005136
5 1997120
6 200794
7 197878
8 199578
9 200278
10 199877
11 200974
12 201671
13 200968
14 200962
15 201154
16 200353
17 198251
18 201148
19 200247
20 201547

About Mark Broom

Mark Broom is a scholar working on Ecology, Evolution, Behavior and Systematics, Sociology and Political Science, Public Health, Environmental and Occupational Health, Ecology and Genetics, having authored 167 papers that have together received 3.4k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (106 papers), Animal Behavior and Reproduction (56 papers), Mathematical and Theoretical Epidemiology and Ecology Models (31 papers), Evolution and Genetic Dynamics (13 papers), Avian ecology and behavior (7 papers), Marine Bivalve and Aquaculture Studies (6 papers), Wildlife Ecology and Conservation (6 papers) and Game Theory and Applications (6 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (849 citations), Sociology and Political Science (1.4k citations), Genetics (414 citations), Ecology (317 citations) and Oceanography (147 citations). Mark Broom has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Jan Rychtář, Graeme D. Ruxton, C. Cannings, G.T. Vickers, Christoforos Hadjichrysanthou, Jonathan J. Ellis, Susan R. Jones, Michael P. Speed, James L. Mason and Daniel Osorio. Their work appears in journals such as Journal of Theoretical Biology, Journal of Mathematical Biology, Dynamic Games and Applications, Behavioral Ecology and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.

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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