Bayesian Phylogeny

Bayesian Phylogeny is a probabilistic phylogenetic inference method that employs Bayesian statistics to estimate the posterior distribution of evolutionary trees and model parameters, incorporating prior knowledge and sequence data to quantify uncertainty in phylogenetic relationships.

496

Publications

148.2K

Citations

1.7K

Authors

748

Institutions

Publications per year

2017–2026

131

Authors

1.7K

  1. AJ
    Alexei J. Drummond

    University of Auckland, New Zealand

    18 publications · 43.1K citations

    17

    h-index

  2. RB
    Remco Bouckaert

    University of Auckland, New Zealand

    14 publications · 13.2K citations

    14

    h-index

  3. JP
    John P. Huelsenbeck

    University of California, Berkeley, United States

    13 publications · 63.1K citations

    13

    h-index

  4. MA
    Marc A. Suchard

    University of California, Los Angeles, United States

    13 publications · 28.9K citations

    13

    h-index

  5. BL
    Bret Larget

    University of Wisconsin–Madison, United States

    10 publications · 2.3K citations

    10

    h-index

1–5 of 1.7K

Venues

  1. Systematic Biology

    59 publications · 23.5K citations

    42

    h-index

  2. Molecular Phylogenetics and Evolution

    41 publications · 2.6K citations

    29

    h-index

  3. Journal of Biogeography

    22 publications · 1K citations

    20

    h-index

  4. PLoS ONE

    21 publications · 1.2K citations

    18

    h-index

  5. Molecular Biology and Evolution

    MBE · 15 publications · 3.7K citations

    15

    h-index

1–5