Gene Flow Inference

Gene Flow Inference is a computational or statistical method that distinguishes itself by estimating the movement of genetic variants between populations from genomic data to quantify historical or contemporary migration patterns in spatial population genetics.

185

Publications

27.9K

Citations

723

Authors

408

Institutions

Publications per year

2017–2026

29

Authors

723

  1. MS
    Montgomery Slatkin

    University of California, Berkeley, United States

    5 publications · 8.5K citations

    5

    h-index

  2. WS
    Wolfgang Stephan

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 268 citations

    3

    h-index

  3. EB
    Eric B. Taylor

    University of British Columbia, Canada

    3 publications · 641 citations

    3

    h-index

  4. AP
    Andrew P. Hendry

    McGill University, Canada

    3 publications · 641 citations

    3

    h-index

  5. PB
    Peter Beerli

    Florida State University, United States

    3 publications · 2.8K citations

    3

    h-index

1–5 of 723

Venues

  1. Evolution

    22 publications · 3.8K citations

    19

    h-index

  2. Molecular Ecology

    11 publications · 2.1K citations

    11

    h-index

  3. Genetics

    11 publications · 4K citations

    11

    h-index

  4. PLoS ONE

    8 publications · 327 citations

    8

    h-index

  5. Heredity

    6 publications · 237 citations

    6

    h-index

1–5