Argasinski, K. and Broom, M. ORCID: 0000-0002-1698-5495 (2021). Towards a replicator dynamics model of age structured populations. Journal of Mathematical Biology, 82(5), 44.. doi: 10.1007/s00285-021-01592-4

Broom, M. ORCID: 0000-0002-1698-5495 and Krivan, V. (2020). Two-strategy games with time constraints on regular graphs. Journal of Theoretical Biology, 506, 110426.. doi: 10.1016/j.jtbi.2020.110426

Varga, T., Garay, J., Rychtar, J. and Broom, M. ORCID: 0000-0002-1698-5495 (2020). A temporal model of territorial defence with antagonistic interactions. Theoretical Population Biology, 134, pp. 15-35. doi: 10.1016/j.tpb.2020.03.005

Broom, M. ORCID: 0000-0002-1698-5495, Cressman, R. and Zhang, B. (2020). Dynamic Games and Applications: Special Issue in Memory of Chris Cannings-Introduction. Dynamic Games and Applications, 10, pp. 589-590. doi: 10.1007/s13235-020-00362-z

Broom, M. ORCID: 0000-0002-1698-5495, Erovenko, I. V. and Rychtar, J. (2020). Modelling Evolution in Structured Populations Involving Multiplayer Interactions. Dynamic Games and Applications, doi: 10.1007/s13235-020-00358-9

Garay, J., Cressman, R., Xu, F., Broom, M. ORCID: 0000-0002-1698-5495, Csiszár, V. and Móri, T. F. (2020). When optimal foragers meet in a game theoretical conflict: A model of kleptoparasitism. Journal of Theoretical Biology, doi: 10.1016/j.jtbi.2020.110306

Broom, M. ORCID: 0000-0002-1698-5495, Erovenko, I. V., Rowell, J. T. and Rychtář, J. (2020). Models and measures of animal aggregation and dispersal. Journal of Theoretical Biology, 484, 110002.. doi: 10.1016/j.jtbi.2019.110002

Bishop, D. T., Broom, M. ORCID: 0000-0002-1698-5495 and Southwell, R. (2019). Chris Cannings: A Life in Games. Dynamic Games and Applications, doi: 10.1007/s13235-019-00343-x

Cannings, C. and Broom, M. ORCID: 0000-0002-1698-5495 (2019). Game theoretical modelling of a dynamically evolving network Ⅱ: Target sequences of score 1. Journal of Dynamics & Games, doi: 10.3934/jdg.2020003

Broom, M. ORCID: 0000-0002-1698-5495, Cressman, R. and Křivan, V. (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.. doi: 10.1016/j.jtbi.2019.109993

Bauer, J., Broom, M. ORCID: 0000-0002-1698-5495 and Alonso, E. ORCID: 0000-0002-3306-695X (2019). The Stabilisation of Equilibria in Evolutionary Game Dynamics through Mutation: Mutation Limits in Evolutionary Games. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475(2231), doi: 10.1098/rspa.2019.0355

Overton, C. E., Broom, M. ORCID: 0000-0002-1698-5495, Hadjichrysanthou, C. and Sharkey, K. (2019). Methods for approximating stochastic evolutionary dynamics on graphs. Journal of Theoretical Biology, 468, pp. 45-59. doi: 10.1016/j.jtbi.2019.02.009

Wang, L., Ruxton, G. D., Cornell, S. J., Speed, M. P. and Broom, M. ORCID: 0000-0002-1698-5495 (2019). A theory for investment across defences triggered at different stages of a predator-prey encounter. Journal of Theoretical Biology, 473, pp. 9-19. doi: 10.1016/j.jtbi.2019.04.016

Schimit, P., Pattni, K. and Broom, M. ORCID: 0000-0002-1698-5495 (2019). Dynamics of multiplayer games on complex networks using territorial interactions. Physical Review E, 99(3), 032306. doi: 10.1103/physreve.99.032306

Erovenko, I. V., Bauer, J. ORCID: 0000-0003-3635-1235, Broom, M. ORCID: 0000-0002-1698-5495, Pattni, K. and Rychtar, J. (2019). The effect of network topology on optimal exploration strategies and the evolution of cooperation in a mobile population. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475(2230), 20190399.. doi: 10.1098/rspa.2019.0399

Broom, M. ORCID: 0000-0002-1698-5495, Pattni, K. and Rychtar, J. (2018). Generalized Social Dilemmas: The Evolution of Cooperation in Populations with Variable Group Size. Bulletin of Mathematical Biology, doi: 10.1007/s11538-018-00545-1

Hadjichrysanthou, C., Broom, M. ORCID: 0000-0002-1698-5495 and Rychtar, J. (2018). Models of kleptoparasitism on networks: the effect of population structure on food stealing behaviour. Journal of Mathematical Biology, 76(6), pp. 1465-1488. doi: 10.1007/s00285-017-1177-7

Broom, M. ORCID: 0000-0002-1698-5495 and Krivan, V. (2018). Biology and evolutionary games. In: Basar, T. and Zaccour, G. (Eds.), Handbook of Dynamic Game Theory. (pp. 1039-1077). Germany: Springer. ISBN 9783319443737

Argasinski, K. and Broom, M. ORCID: 0000-0002-1698-5495 (2018). Interaction rates, vital rates, background fitness and replicator dynamics: how to embed evolutionary game structure into realistic population dynamics. Theory in Biosciences - Theorie in den Biowissenschaften, 137(1), pp. 33-50. doi: 10.1007/s12064-017-0257-y

Broom, M., Collins, D. A., Thomas, P. and Vu, T.H. (2018). The Four Regions in Settlement Space: A Game-Theoretical Approach to Investment Treaty Arbitration Part I: Modelling. Law, Probability and Risk, 17(1), pp. 55-78. doi: 10.1093/lpr/mgx020

Broom, M., Collins, D. A., Vu, T.H. and Thomas, P. (2018). The Four Regions in Settlement Space: A Game-Theoretical Approach to Investment Treaty Arbitration Part II: Cases. Law, Probability and Risk, 17(1), pp. 79-98. doi: 10.1093/lpr/mgx019

Pattni, K., Broom, M. ORCID: 0000-0002-1698-5495 and Rychtar, J. (2018). Evolving multiplayer networks: Modelling the evolution of cooperation in a mobile population. Discrete & Continuous Dynamical Systems - B, 23(5), pp. 1975-2004. doi: 10.3934/dcdsb.2018191

Spencer, R. and Broom, M. (2018). A game-theoretical model of kleptoparasitic behavior in an urban gull (Laridae) population. Behavioral Ecology, 29(1), pp. 60-78. doi: 10.1093/beheco/arx125

Argasinski, K. and Broom, M. (2017). Evolutionary stability under limited population growth: Eco-evolutionary feedbacks and replicator dynamics. Ecological Complexity, doi: 10.1016/j.ecocom.2017.04.002

Broom, M., Johanis, M. and Rychtar, J. (2017). The effect of fight cost structure on fighting behaviour involving simultaneous decisions and variable investment levels. Journal of Mathematical Biology, doi: 10.1007/s00285-017-1149-y

Pattni, K., Broom, M. and Rychtar, J. (2017). Evolutionary dynamics and the evolution of multiplayer cooperation in a subdivided population. Journal of Theoretical Biology, 429, pp. 105-115. doi: 10.1016/j.jtbi.2017.06.034

Chawsheen, T.A. and Broom, M. (2017). Seasonal time-series modeling and forecasting of monthly mean temperature for decision making in the Kurdistan Region of Iraq. Journal of Statistical Theory and Practice, doi: 10.1080/15598608.2017.1292484

Broom, M. and Cannings, C. (2017). Game theoretical modelling of a dynamically evolving network I: general target sequences. Journal of Dynamics and Games, 4(4), pp. 285-318. doi: 10.3934/jdg.2017016

Broom, M. and Rychtar, J. (2016). Evolutionary games with sequential decisions and dollar auctions. Dynamic Games and Applications, doi: 10.1007/s13235-016-0212-4

Broom, M. and Rychtar, J. (2016). Ideal Cost-Free Distributions in Structured Populations for General Payoff Functions. Dynamic Games and Applications, doi: 10.1007/s13235-016-0204-4

Kura, K., Broom, M. and Kandler, A. (2016). A Game-Theoretical Winner and Loser Model of Dominance Hierarchy Formation. Bulletin of Mathematical Biology, 78(6), pp. 1259-1290. doi: 10.1007/s11538-016-0186-9

Broom, M. and Rychtar, J. (2016). A model of food stealing with asymmetric information. Ecological Complexity, 26, pp. 137-142. doi: 10.1016/j.ecocom.2015.05.001

Broom, M., Rychtar, J. and Spears-Gill, T. (2016). The Game-Theoretical Model of Using Insecticide-Treated Bed-Nets to Fight Malaria. Applied Mathematics, 07(09), pp. 852-860. doi: 10.4236/am.2016.79076

Broom, M. and Rychtar, J. (2016). Nonlinear and Multiplayer Evolutionary Games. Annals of the International Society of Dynamic Games, 14, pp. 95-115. doi: 10.1007/978-3-319-28014-1_5

Saber Raza, M. and Broom, M. (2016). Survival analysis modeling with hidden censoring. Journal of Statistical Theory and Practice, pp. 375-388. doi: 10.1080/15598608.2016.1152205

Li, A., Broom, M., Du, J. and Wang, L. (2016). Evolutionary dynamics of general group interactions in structured populations. Physical Review E (PRE), 93(2), 022407. doi: 10.1103/PhysRevE.93.022407

Pattni, K., Broom, M., Rychtar, J. and Silvers, L. J. (2015). Evolutionary graph theory revisited: when is an evolutionary process equivalent to the Moran process?. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 471, e2182. doi: 10.1098/rspa.2015.0334

Broom, M., Krivan, V. and Riedel, F. (2015). Dynamic Games and Applications: Second Special Issue on Population Games: Introduction. Dynamic Games and Applications, 5(2), pp. 155-156. doi: 10.1007/s13235-015-0153-3

Broom, M., Lafaye, C., Pattni, K. and Rychtar, J. (2015). A study of the dynamics of multi-player games on small networks using territorial interactions.. Journal of Mathematical Biology, doi: 10.1007/s00285-015-0868-1

Kura, K., Broom, M. and Kandler, A. (2015). Modelling Dominance Hierarchies Under Winner and Loser Effects. Bulletin of Mathematical Biology, 77(6), pp. 927-952. doi: 10.1007/s11538-015-0070-z

Broom, M. and Cannings, C. (2015). Graphic deviation. Discrete Mathematics, 338(5), pp. 701-711. doi: 10.1016/j.disc.2014.12.011

Teichmann, J., Alonso, E. and Broom, M. (2015). A reward-driven model of Darwinian fitness. Paper presented at the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 12-14 Nov 2015, Lisbon, Portugal.

Broom, M., Johanis, M. and Rychtar, J. (2014). The effect of fight cost structure on fighting behaviour. Journal of Mathematical Biology, pp. 979-996. doi: 10.1007/s00285-014-0848-x

Teichmann, J., Broom, M. and Alonso, E. (2014). The application of temporal difference learning in optimal diet models. Journal of Theoretical Biology, 340, pp. 11-16. doi: 10.1016/j.jtbi.2013.08.036

Broom, M., Rychtar, J. and Sykes, D. (2014). Kleptoparasitic Interactions under Asymmetric Resource Valuation. Mathematical Modelling of Natural Phenomena, 9(3), pp. 138-147. doi: 10.1051/mmnp/20149309

Broom, M. and Rychtar, J. (2014). Asymmetric Games in Monomorphic and Polymorphic Populations. Dynamic Games and Applications, 4(4), pp. 391-406. doi: 10.1007/s13235-014-0112-4

Teichmann, J., Broom, M. and Alonso, E. (2014). The Evolutionarily Dynamics of Aposematism: a Numerical Analysis of Co-Evolution in Finite Populations. Mathematical Modelling of Natural Phenomena (MMNP), 9(3), pp. 148-164. doi: 10.1051/mmnp/20149310

Argasinski, K. and Broom, M. (2013). The nest site lottery: How selectively neutral density dependent growth suppression induces frequency dependent selection. Theoretical Population Biology, 90, pp. 82-90. doi: 10.1016/j.tpb.2013.09.011

Broom, M. and Cannings, C. (2013). A dynamic network population model with strategic link formation governed by individual preferences. Journal of Theoretical Biology, 335, doi: 10.1016/j.jtbi.2013.06.024

Broom, M. and Ruxton, G. D. (2013). On the evolutionary stability of zero-cost pooled-equilibrium signals. Journal of Theoretical Biology, 323, pp. 69-75. doi: 10.1016/j.jtbi.2013.01.017

Broom, M., Ruxton, G. D. and Schaefer, H. M. (2013). Signal verification can promote reliable signalling.. Proceedings of the Royal Society B: Biological Sciences, 280(201315), -. doi: 10.1098/rspb.2013.1560

Broom, M. and Ruxton, G. D. (2012). Perceptual advertisement by the prey of stalking or ambushing predators. Journal of Theoretical Biology, 315, pp. 9-16. doi: 10.1016/j.jtbi.2012.08.026

Broom, M., Hughes, R. N., Burrows, M. T. and Ruxton, G. D. (2012). Evolutionarily stable sexual allocation by both stressed and unstressed potentially simultaneous hermaphrodites within the same population.. Journal of Theoretical Biology, 309, pp. 96-102. doi: 10.1016/j.jtbi.2012.06.004

Argasinski, K. and Broom, M. (2012). Ecological theatre and the evolutionary game: how environmental and demographic factors determine payoffs in evolutionary games. Journal of Mathematical Biology, doi: 10.1007/s00285-012-0573-2

Hadjichrysanthou, C., Broom, M. and Kiss, I. Z. (2012). Approximating evolutionary dynamics on networks using a Neighbourhood Configuration model. Journal of Theoretical Biology, 312, pp. 13-21. doi: 10.1016/j.jtbi.2012.07.015

Hadjichrysanthou, C. and Broom, M. (2012). When should animals share food? Game theory applied to kleptoparasitic populations with food sharing. Behavioral Ecology, 23(5), pp. 977-991. doi: 10.1093/beheco/ars061

Barker, H. A., Broom, M. and Rychtar, J. (2012). A game theoretic model of kleptoparasitism with strategic arrivals and departures of beetles at dung pats. Journal of Theoretical Biology, 300, pp. 292-298. doi: 10.1016/j.jtbi.2012.01.038

Broom, M. and Rychtar, J. (2012). A general framework for analysing multiplayer games in networks using territorial interactions as a case study. Journal of Theoretical Biology, 302, pp. 70-80. doi: 10.1016/j.jtbi.2012.02.025

Broom, M. and Rychtar, J. (2011). Kleptoparasitic melees--modelling food stealing featuring contests with multiple individuals.. Bulletin of Mathematical Biology, 73(3), pp. 683-699. doi: 10.1007/s11538-010-9546-z

Hadjichrysanthou, C., Broom, M. and Rychtar, J. (2011). Evolutionary Games on Star Graphs Under Various Updating Rules. Dynamic Games and Applications, 1(3), pp. 386-407. doi: 10.1007/s13235-011-0022-7

Broom, M. and Ruxton, G. D. (2011). Some mistakes go unpunished: the evolution of "all or nothing" signalling.. Evolution, 65(10), pp. 2743-2749. doi: 10.1111/j.1558-5646.2011.01377.x

Broom, M., Crowe, M. L., Fitzgerald, M. R. and Rychtar, J. (2010). The stochastic modelling of kleptoparasitism using a Markov process. Journal of Theoretical Biology, 264(2), pp. 266-272. doi: 10.1016/j.jtbi.2010.01.012

Kiss, I. Z., Broom, M., Craze, P. G. and Rafols, I. (2010). Can epidemic models describe the diffusion of topics across disciplines?. Journal of Informetrics, 4(1), pp. 74-82. doi: 10.1016/j.joi.2009.08.002

Broom, M., Hadjichrysanthou, C. and Rychtar, J. (2010). Evolutionary games on graphs and the speed of the evolutionary process. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 466(2117), pp. 1327-1346. doi: 10.1098/rspa.2009.0487

Broom, M., Hadjichrysanthou, C., Rychtar, J. and Stadler, B. T. (2010). Two results on evolutionary processes on general non-directed graphs. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 466(2121), pp. 2795-2798. doi: 10.1098/rspa.2010.0067

Harrison, M. D. and Broom, M. (2009). A game-theoretic model of interspecific brood parasitism with sequential decisions. Journal of Theoretical Biology, 256(4), pp. 504-517. doi: 10.1016/j.jtbi.2008.08.033

Broom, M. (2009). Balancing risks and rewards: the logic of violence. Frontiers in Behavioral Neuroscience, 3(51), doi: 10.3389/neuro.08.051.2009

Broom, M., Kiss, I. Z. and Rafols, I. (2009). Can epidemic models describe the diffusion of research topics across disciplines?. Paper presented at the 12th International Conference of the International Society for Scientometrics and Informetrics, 14-07-2009 - 17-07-2009, Rio de Janeiro.

Broom, M., Rychtar, J. and Stadler, B. (2009). Evolutionary Dynamics on Small-Order Graphs. Journal of Interdisciplinary Mathematics, 12, pp. 129-140.

Broom, M., Luther, R. M. and Rychtar, J. (2009). A Hawk-Dove game in kleptoparasitic populations. Journal of Combinatorics, Information and System Sciences, 4, pp. 449-462.

Broom, M. and Rychtar, J. (2009). A game theoretical model of kleptoparasitism with incomplete information. Journal of Mathematical Biology, 59(5), pp. 631-649. doi: 10.1007/s00285-008-0247-2

Broom, M., Luther, R. M., Ruxton, G. D. and Rychtar, J. (2008). A game-theoretic model of kleptoparasitic behavior in polymorphic populations. Journal of Theoretical Biology, 255(1), pp. 81-91. doi: 10.1016/j.jtbi.2008.08.001

Broom, M., Rychtar, J. and Sykes, C. (2008). The Evolution of Kleptoparasitism under Adaptive Dynamics Without Restriction. Journal of Interdisciplinary Mathematics, 11(4), pp. 479-494.

Broom, M. and Rychtar, J. (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), pp. 2609-2627. doi: 10.1098/rspa.2008.0058

Yates, G. E. and Broom, M. (2007). Stochastic models of kleptoparasitism. Journal of Theoretical Biology, 248(3), pp. 480-489. doi: 10.1016/j.jtbi.2007.05.007

Broom, M., Speed, M. P. and Ruxton, G. D. (2006). Evolutionarily stable defence and signalling of that defence. Journal of Theoretical Biology, 242(1), pp. 32-43. doi: 10.1016/j.jtbi.2006.01.032

Broom, M., Speed, M. P. and Ruxton, G. D. (2005). Evolutionarily stable investment in secondary defences. Functional Ecology, 19(5), pp. 836-843. doi: 10.1111/j.1365-2435.2005.01030.x

Ruxton, G. D., Fraser, C. and Broom, M. (2005). An evolutionarily stable joining policy for group foragers. Behavioral Ecology, 16(5), pp. 856-864. doi: 10.1093/beheco/ari063

Broom, M., Borries, C. and Koenig, A. (2004). Infanticide and infant defence by males--modelling the conditions in primate multi-male groups. Journal of Theoretical Biology, 231(2), pp. 261-270. doi: 10.1016/j.jtbi.2004.07.001

Broom, M. and Ruxton, G. D. (2004). A framework for modelling and analysing conspecific brood parasitism. Journal of Mathematical Biology, 48(5), pp. 529-544. doi: 10.1007/s00285-003-0244-4

Broom, M. (2003). The use of multiplayer game theory in the modeling of biological populations. Comments on Theoretical Biology, 8(2-3), pp. 103-123.

Ward, A. J. W., Hoare, D. J., Couzin, I. D., Broom, M. and Krause, J. (2002). The effects of parasitism and body length on positioning within wild fish shoals. Journal Of Animal Ecology, 71(1), pp. 10-14. doi: 10.1046/j.0021-8790.2001.00571.x

Broom, M., Cannings, C. and Vickers, G. T. (2000). Evolution in Knockout Contests: the Variable Strategy Case. Selection, 1, pp. 5-21.