• Ullrich K. K., Glynatsi, N. E. oggmap: a Python package to extract gene ages per orthogroup and link them with single-cell RNA data. Bioinformatics, (2023). doi: 10.1093/bioinformatics/btad657.

  • Traulsen A., Glynatsi, N. E. The future of theoretical evolutionary game theory. Philosophical Transactions of the Royal Society B, (2023). doi: 10.1098/rstb.2021.0508.

  • Glynatsi, N. E., Knight, V. A. Game Theory and Python: An educational tutorial to game theory and repeated games using Python. Journal of Open Source Education, (2021), doi: 10.21105/jose.00078.

  • Glynatsi, N. E., Knight, V. A. A bibliometric study of research topics, collaboration, and centrality in the iterated prisoner’s dilemma. Humanities and Social Sciences Communications, (2021), doi: 10.1057/s41599-021-00718-9.

  • Glynatsi, N. E., Knight, V. A. Using a theory of mind to find best responses to memory-one strategies. Scientific Reports, (2020), doi: 10.1038/s41598-020-74181-y

  • Glynatsi, N. E., Knight, V., & Lee, T. E. An evolutionary game theoretic model of rhino horn devaluation. Ecological Modelling, (2018), doi: 10.1016/j.ecolmodel.2018.10.003.

  • Knight, V., Harper, M., Glynatsi, N. E., & Campbell, O. Evolution reinforces cooperation with the emergence of self-recognition mechanisms: An empirical study of strategies in the Moran process for the iterated prisoner’s dilemma. PloS one, (2018), doi: 10.1371/journal.pone.0204981.

  • Harper, M., Knight, V., Jones, M., Koutsovoulos, G., Glynatsi, N. E., & Campbell, O. Reinforcement learning produces dominant strategies for the Iterated Prisoner’s Dilemma. PloS one, (2017), doi: 10.1371/journal.pone.0188046.

  • Knight, V. A., Campbell, O., Harper, M., Langner, K. M., Campbell, J., Campbell, T., Carney, A., Chorley, M., Davidson-Pilon, C., Glass, K., Glynatsi, N. E., Ehrlich, T., Jones, M., Koutsovoulos, G., Tibble, H., Muller, J., Palmer, G., Petunov, P., Slavin, P., Standen, T., Visintini, L., & Molden, K. An open framework for the reproducible study of the iterated prisoner’s dilemma. Journal of Open Research Software, (2016), doi: 10.5334/jors.125.


  • Glynatsi, N. E., Ethan A., Nowak M. A., Hilbe C., Conditional cooperation with longer memory. Preprint.

  • Glynatsi, N. E., McAvoy A., Hilbe C., Evolution of reciprocity with limited payoff memory. Preprint.

  • Glynatsi, N. E., Knight V. A. and Harper M, Properties of Winning Iterated Prisoner’s Dilemma Strategies. Preprint.

  • Knight V. A., Harper M., Glynatsi, N. E., Gillard J., Recognising and evaluating the effectiveness of extortion in the Iterated Prisoner’s Dilemma. Preprint.

In preparation

  • Pal S., Glynatsi, N. E., Hilbe C. The co-evolution of direct, indirect and generalized reciprocity.

  • Li J., Glynatsi, N. E., Hilbe C., Xia H. Tolerance and exploitation of cumulative memory strategy in direct reciprocity.