Deterministic Population Genetics Models

Deterministic Population Genetics Models is a class of mathematical frameworks in population genetics that describe the dynamics of allele frequencies under evolutionary forces such as mutation, selection, and drift using deterministic equations, thereby assuming infinite population sizes and excluding stochastic variation.

30

Publications

3K

Citations

62

Authors

45

Institutions

Publications per year

2017–2026

6

Authors

62

  1. EB
    Ellen Baake

    Bielefeld University, Germany

    3 publications · 44 citations

    3

    h-index

  2. JM
    J.A.J. Metz

    Leiden University, Netherlands

    2 publications · 435 citations

    2

    h-index

  3. MG
    Mats Gyllenberg

    University of Helsinki, Finland

    2 publications · 435 citations

    2

    h-index

  4. AB
    Austin Burt

    Imperial College London, United Kingdom

    2 publications · 60 citations

    2

    h-index

  5. OD
    Odo Diekmann

    Utrecht University, Netherlands

    2 publications · 435 citations

    2

    h-index

1–5 of 62

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 308 citations

    3

    h-index

  2. Genetics

    2 publications · 138 citations

    2

    h-index

  3. Forest Ecology and Management

    1 publications · 22 citations

    1

    h-index

  4. Chaos Solitons & Fractals

    1 publications · 11 citations

    1

    h-index

  5. 1

    h-index

1–5