Mark Broom

4.5k total citations
160 papers, 3.1k citations indexed

About

Mark Broom is a scholar working on Sociology and Political Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mark Broom has authored 160 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Sociology and Political Science, 58 papers in Genetics and 53 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mark Broom's work include Evolutionary Game Theory and Cooperation (98 papers), Evolution and Genetic Dynamics (56 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (46 papers). Mark Broom is often cited by papers focused on Evolutionary Game Theory and Cooperation (98 papers), Evolution and Genetic Dynamics (56 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (46 papers). Mark Broom collaborates with scholars based in United Kingdom, United States and Czechia. Mark Broom's 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 and has published in prestigious journals such as PLoS ONE, The American Naturalist and Evolution.

In The Last Decade

Mark Broom

156 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Broom United Kingdom 30 1.5k 1.1k 945 723 493 160 3.1k
Corina E. Tarnita United States 29 2.3k 1.6× 1.8k 1.7× 839 0.9× 652 0.9× 383 0.8× 61 3.8k
István Scheuring Hungary 27 859 0.6× 830 0.8× 458 0.5× 373 0.5× 300 0.6× 82 2.2k
Marko Jusup Japan 27 1.6k 1.1× 813 0.8× 198 0.2× 711 1.0× 417 0.8× 62 3.5k
Ross Cressman Canada 27 1.8k 1.2× 1.3k 1.2× 351 0.4× 1.0k 1.4× 204 0.4× 108 2.9k
Benjamin Kerr United States 27 1.6k 1.1× 1.9k 1.8× 723 0.8× 497 0.7× 692 1.4× 55 3.5k
Silvia De Monte France 19 1.3k 0.9× 758 0.7× 126 0.1× 391 0.5× 289 0.6× 40 2.2k
Åke Brännström Sweden 24 710 0.5× 647 0.6× 595 0.6× 478 0.7× 491 1.0× 73 2.5k
Thilo Groß Germany 32 809 0.6× 769 0.7× 396 0.4× 709 1.0× 321 0.7× 91 4.1k
Mauro Mobilia United Kingdom 26 1.9k 1.3× 1.4k 1.3× 268 0.3× 943 1.3× 78 0.2× 55 3.0k
Erol Akçay United States 24 852 0.6× 655 0.6× 879 0.9× 155 0.2× 348 0.7× 64 2.1k

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-authorship network of co-authors of Mark Broom

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Broom. A scholar is included among the top collaborators of Mark Broom 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 Mark Broom. Mark Broom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Garay, József, et al.. (2020). A temporal model of territorial defence with antagonistic interactions. Theoretical Population Biology. 134. 15–35. 6 indexed citations
3.
Broom, Mark, Ross Cressman, & Vlastimil Křivan. (2019). Revisiting the “fallacy of averages” in ecology: Expected gain per unit time equals expected gain divided by expected time. Journal of Theoretical Biology. 483. 109993–109993. 6 indexed citations
4.
Ruxton, Graeme D., et al.. (2019). A theory for investment across defences triggered at different stages of a predator-prey encounter. Journal of Theoretical Biology. 473. 9–19. 4 indexed citations
5.
Broom, Mark, et al.. (2017). The effect of fight cost structure on fighting behaviour involving simultaneous decisions and variable investment levels. Journal of Mathematical Biology. 76(1-2). 457–482. 2 indexed citations
6.
Broom, Mark & C. Cannings. (2015). Graphic deviation. Discrete Mathematics. 338(5). 701–711. 3 indexed citations
7.
Broom, Mark, et al.. (2015). A study of the dynamics of multi-player games on small networks using territorial interactions. Journal of Mathematical Biology. 71(6-7). 1551–1574. 24 indexed citations
8.
Broom, Mark, Christoforos Hadjichrysanthou, & Jan Rychtář. (2009). Evolutionary games on graphs and the speed of the evolutionary process. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 466(2117). 1327–1346. 59 indexed citations
9.
Broom, Mark & Jan Rychtář. (2008). An analysis of the fixation probability of a mutant on special classes of non-directed graphs. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 464(2098). 2609–2627. 119 indexed citations
10.
Broom, Mark, et al.. (2008). A game-theoretic model of kleptoparasitic behavior in polymorphic populations. Journal of Theoretical Biology. 255(1). 81–91. 27 indexed citations
11.
Broom, Mark, et al.. (2007). Stochastic models of kleptoparasitism. Journal of Theoretical Biology. 248(3). 480–489. 11 indexed citations
12.
Broom, Mark, et al.. (2005). A stochastic model of the distribution of unequal competitors between resource patches. Journal of Theoretical Biology. 237(3). 227–237. 5 indexed citations
13.
Proctor, Carole J., Mark Broom, & Graeme D. Ruxton. (2005). Antipredator vigilance in birds: Modelling the ‘edge’ effect. Mathematical Biosciences. 199(1). 79–96. 18 indexed citations
14.
Broom, Mark. (2002). A Unified Model of Dominance Hierarchy Formation and Maintenance. Journal of Theoretical Biology. 219(1). 63–72. 21 indexed citations
15.
Broom, Mark, C. Cannings, & G.T. Vickers. (2000). A Sequential-Arrivals Model of Territory Acquisition II. Journal of Theoretical Biology. 207(3). 389–403. 19 indexed citations
16.
Broom, Mark. (2000). Bounds on the number of ESSs of a matrix game. Mathematical Biosciences. 167(2). 163–175. 10 indexed citations
17.
Broom, Mark. (2000). Evolution in Knockout Conflicts: The Fixed Strategy Case. Bulletin of Mathematical Biology. 62(3). 451–466. 13 indexed citations
18.
Broom, Mark & Graeme D. Ruxton. (1998). Evolutionarily stable stealing: game theory applied to kleptoparasitism.. Annals of Human Genetics. 62(5). 453–464. 3 indexed citations
19.
Broom, Mark, C. Cannings, & G.T. Vickers. (1993). On the number of local maxima of a constrained quadratic form. Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences. 443(1919). 573–584. 20 indexed citations
20.
Broom, Mark. (1985). The biology and culture of marine bivalve molluscs of the gene Anadara. 2 indexed citations

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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