Mark Broom
Impact in
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- Plant and animal studies
- Animal Behavior and Reproduction
- Genetics top 1%
- Evolution and Genetic Dynamics
Papers in
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- Evolutionary Game Theory and Cooperation 103
- Genetics 60
- Evolution and Genetic Dynamics 58
- Co-authors
- Jan Rychtář (40 shared papers)Graeme D. Ruxton (31 shared papers)C. Cannings (14 shared papers)Christoforos Hadjichrysanthou (7 shared papers)G.T. Vickers (9 shared papers)Susan R. Jones (1 shared paper)Jonathan J. Ellis (1 shared paper)Michael P. Speed (7 shared papers)
- Journals
- Journal of Theoretical Biology (32 papers)Journal of Mathematical Biology (13 papers)Dynamic Games and Applications (10 papers)Bulletin of Mathematical Biology (9 papers)Behavioral Ecology (9 papers)
- Partner nations
- United KingdomUnited StatesCzechia
In The Last Decade
Mark Broom
164 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 140
- Ecology, Evolution, Behavior and Systematics 1.0k
- Genetics 1.1k
- Developmental Biology 77
- Sociology and Political Science 1.6k
- Safety Research 288
Countries citing papers authored by Mark Broom
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
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.
All Works
Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 175 | |
| 2 | 2006 | 150 | |
| 3 | 2005 | 137 | |
| 4 | 2008 | 130 | |
| 5 | 1997 | 104 | |
| 6 | 1997 | 82 | |
| 7 | 1978 | 80 | |
| 8 | 1995 | 79 | |
| 9 | 1998 | 78 | |
| 10 | 2002 | 77 | |
| 11 | 2009 | 75 | |
| 12 | 2016 | 66 | |
| 13 | 2009 | 65 | |
| 14 | 2009 | 61 | |
| 15 | 2011 | 52 | |
| 16 | 1982 | 52 | |
| 17 | 2003 | 52 | |
| 18 | 2002 | 47 | |
| 19 | 2011 | 47 | |
| 20 | 2012 | 45 |
About Mark Broom
Mark Broom is a scholar working on Sociology and Political Science, Genetics, Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health and Safety Research, having authored 168 papers that have together received 3.4k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (103 papers), Evolution and Genetic Dynamics (58 papers), Mathematical and Theoretical Epidemiology and Ecology Models (48 papers), Plant and animal studies (41 papers), Animal Behavior and Reproduction (28 papers), Experimental Behavioral Economics Studies (26 papers), Game Theory and Applications (22 papers) and Complex Network Analysis Techniques (13 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.0k citations), Genetics (1.1k citations), Developmental Biology (77 citations), Sociology and Political Science (1.6k citations) and Safety Research (288 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, Christoforos Hadjichrysanthou, G.T. Vickers, Susan R. Jones, Jonathan J. Ellis, Michael P. Speed, James Mason and Carola Borries. Their work appears in journals such as Journal of Theoretical Biology, Journal of Mathematical Biology, Dynamic Games and Applications, Bulletin of Mathematical Biology and Behavioral Ecology.
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.