Mark Broom
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- Plant and animal studies 40
- Animal Behavior and Reproduction 27
- Genetics top 2%
- Evolution and Genetic Dynamics 56
- Developmental Biology top 5%
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- Evolutionary Game Theory and Cooperation 98
- Safety Research top 2%
- Experimental Behavioral Economics Studies 24
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- Mathematical and Theoretical Epidemiology and Ecology Models 46
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- Game Theory and Applications 21
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- Complex Network Analysis Techniques 13
- Co-authors
- Jan RychtářGraeme D. RuxtonC. CanningsG.T. VickersChristoforos HadjichrysanthouJonathan J. EllisSusan R. JonesJames Mason
- Journals
- Journal of Theoretical Biology (32 papers)Journal of Mathematical Biology (13 papers)Dynamic Games and Applications (10 papers)
- Partner nations
- United KingdomUnited StatesCzechia
In The Last Decade
Mark Broom
156 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 138
- Ecology, Evolution, Behavior and Systematics 945
- Genetics 1.1k
- Developmental Biology 76
- Sociology and Political Science 1.5k
- Safety Research 267
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2019 | 6 | |
| 5 | 2019 | 4 | |
| 6 | 2017 | 18 | |
| 7 | 2017 | 16 | |
| 8 | 2017 | 2 | |
| 9 | 2015 | 3 | |
| 10 | 2015 | 24 | |
| 11 | 2010 | 13 | |
| 12 | 2008 | 119 | |
| 13 | 2007 | 10 | |
| 14 | 2007 | 8 | |
| 15 | 2004 | 35 | |
| 16 | 2004 | 14 | |
| 17 | 2001 | 11 | |
| 18 | 2000 | 19 | |
| 19 | 2000 | 10 | |
| 20 | The biology and culture of marine bivalve molluscs of the gene Anadara | 1985 | 2 |
About Mark Broom
Mark Broom is a scholar working on Safety Research, Ecology, Evolution, Behavior and Systematics, Sociology and Political Science, Genetics and Management Science and Operations Research, having authored 160 papers that have together received 3.1k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (98 papers), Evolution and Genetic Dynamics (56 papers), Mathematical and Theoretical Epidemiology and Ecology Models (46 papers), Plant and animal studies (40 papers), Animal Behavior and Reproduction (27 papers), Experimental Behavioral Economics Studies (24 papers), Game Theory and Applications (21 papers) and Complex Network Analysis Techniques (13 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (945 citations), Genetics (1.1k citations), Developmental Biology (76 citations), Sociology and Political Science (1.5k citations) and Safety Research (267 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, James Mason, Michael P. Speed and Carole J. Proctor. Their work appears in journals such as Journal of Theoretical Biology, Journal of Mathematical Biology, Dynamic Games and Applications, Behavioral Ecology and Bulletin of Mathematical Biology.
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.