Coalescent-based Estimation

Coalescent-Based Estimation is a statistical inference method that belongs to the class of population genetic approaches using the coalescent theory as its foundational model, distinguished by its focus on reconstructing the historical genealogical relationships among sampled alleles to estimate parameters such as effective population size through the analysis of genetic variation patterns.

104

Publications

19.4K

Citations

301

Authors

190

Institutions

Publications per year

2017–2026

14

Authors

301

  1. TW
    Tandy Warnow

    The University of Texas at Austin, United States

    8 publications · 3.4K citations

    8

    h-index

  2. SM
    Siavash Mirarab

    University of California San Diego, United States

    6 publications · 3.1K citations

    6

    h-index

  3. JH
    Jody Hey

    Rutgers, The State University of New Jersey, United States

    4 publications · 476 citations

    4

    h-index

  4. RT
    Robb T. Brumfield

    Houston Museum of Natural Science, United States

    4 publications · 316 citations

    4

    h-index

  5. MS
    Md. Shamsuzzoha Bayzid

    Bangladesh University of Engineering and Technology, Bangladesh

    4 publications · 1.9K citations

    4

    h-index

1–5 of 301

Venues

  1. Genetics

    25 publications · 5.7K citations

    23

    h-index

  2. Molecular Biology and Evolution

    MBE · 9 publications · 3.8K citations

    9

    h-index

  3. Bioinformatics

    7 publications · 3.7K citations

    7

    h-index

  4. Evolution

    4 publications · 331 citations

    4

    h-index

  5. Systematic Biology

    4 publications · 682 citations

    4

    h-index

1–5