Population Bottleneck Detection

Population Bottleneck Detection is a computational and statistical method in population genomics that identifies significant reductions in effective population size by analyzing genomic signatures such as allele frequency distortions, heterozygosity excess, or site frequency spectrum asymmetries, thereby distinguishing recent demographic contractions from equilibrium population processes.

44

Publications

10.3K

Citations

223

Authors

126

Institutions

Publications per year

2017–2026

9

Authors

223

  1. GL
    Gordon Luikart

    University of Montana, United States

    5 publications · 8.4K citations

    5

    h-index

  2. WB
    William B. Sherwin

    UNSW Sydney, Australia

    3 publications · 769 citations

    3

    h-index

  3. AC
    Andrea C. Taylor

    Monash University, Australia

    2 publications · 147 citations

    2

    h-index

  4. PR
    Phillip R. England

    Macquarie University, Australia

    2 publications · 167 citations

    2

    h-index

  5. DW
    Desmond W. Cooper

    Macquarie University, Australia

    2 publications · 220 citations

    2

    h-index

1–5 of 223

Venues

  1. Molecular Ecology

    7 publications · 1.1K citations

    7

    h-index

  2. Journal of Heredity

    3 publications · 3.4K citations

    4

    h-index

  3. Conservation Genetics

    3 publications · 279 citations

    3

    h-index

  4. Genetics

    2 publications · 4.4K citations

    2

    h-index

  5. Conservation Biology

    2 publications · 131 citations

    2

    h-index

1–5