Finite Population Evolution

Finite Population Evolution is a theoretical framework in evolutionary game theory that models the stochastic dynamics of strategy change in populations of fixed, limited size, distinguishing it from infinite population models by incorporating genetic drift, demographic variability, and frequency-dependent selection arising from pairwise interactions among a finite number of individuals.

288

Publications

27.1K

Citations

422

Authors

270

Institutions

Publications per year

2017–2026

39

Authors

422

  1. AT
    Arne Traulsen

    Max Planck Institute for Evolutionary Biology, Germany

    15 publications · 2.5K citations

    15

    h-index

  2. MA
    Martin A. Nowak

    Harvard University, United States

    11 publications · 3.1K citations

    11

    h-index

  3. WL
    Wen‐Hsiung Li

    University of Chicago, United States

    7 publications · 402 citations

    7

    h-index

  4. BW
    Bin Wu

    Beijing University of Posts and Telecommunications, China

    6 publications · 544 citations

    6

    h-index

  5. PA
    P. A. P. Moran

    Australian National University, Australia

    5 publications · 106 citations

    6

    h-index

1–5 of 422

Venues

  1. Genetics

    28 publications · 6.5K citations

    24

    h-index

  2. Genetics Research

    21 publications · 3K citations

    18

    h-index

  3. Journal of Theoretical Biology

    18 publications · 1.1K citations

    16

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 17 publications · 2.8K citations

    16

    h-index

  5. Theoretical Population Biology

    TPB · 13 publications · 750 citations

    13

    h-index

1–5