[19] His research on complex systems covers evolutionary game theory, agent-based modeling, data analysis, and network science.

[20][21][22][23][24][25][26][27][28][29][30] He has applied Monte Carlo simulations and dynamical mean field theory to discover that stochastic perturbations resolve social dilemmas in a resonance-like manner.

[31][32] He has also pioneered self-organization as a way of stabilizing reward and punishment in structured populations,[33][34] and he has proposed the introduction of discrete strategies in ultimatum games,[35][36] which has contributed to the understanding of the fascinating complexity behind human bargaining.

His research has helped to reveal the full potential of methods of non-equilibrium statistical physics in evolutionary game theory.

[42] In addition to his various original contributions, Matjaž Perc has provided the research community with several reviews and introductory articles on evolutionary games,[43][44][45][46] the emergence of organized crime,[47] collective phenomena in socio-economic systems,[48][49] energy-saving mechanisms in nature,[50] and the Matthew effect.