Wright-fisher Model

The Wright-Fisher Model is a mathematical model in population genetics that describes the random sampling of alleles across generations in a finite, non-overlapping population, distinguishing it from other genetic drift models by assuming constant population size and equal contribution of individuals to the next generation.

240

Publications

19.9K

Citations

452

Authors

308

Institutions

Publications per year

2017–2026

45

Authors

452

  1. YS
    Yun S. Song

    University of California, Berkeley, United States

    7 publications · 322 citations

    7

    h-index

  2. RG
    Robert Griffiths

    Monash University, Australia

    7 publications · 281 citations

    7

    h-index

  3. MM
    Martin Möhle

    University of Tübingen, Germany

    6 publications · 276 citations

    6

    h-index

  4. MB
    Mark Beaumont

    University of Reading, United Kingdom

    5 publications · 510 citations

    5

    h-index

  5. MS
    Matthias Steinrücken

    University of Chicago, United States

    5 publications · 158 citations

    5

    h-index

1–5 of 452

Venues

  1. Genetics

    45 publications · 3.7K citations

    34

    h-index

  2. Theoretical Population Biology

    TPB · 15 publications · 596 citations

    13

    h-index

  3. Advances in Applied Probability

    AAP · 12 publications · 645 citations

    11

    h-index

  4. Journal of Applied Probability

    JAP · 9 publications · 176 citations

    9

    h-index

  5. Bioinformatics

    8 publications · 2.8K citations

    8

    h-index

1–5