Phylogenetic Uncertainty Quantification

Phylogenetic Uncertainty Quantification is a statistical framework within Bayesian phylogenetics that characterizes the uncertainty in phylogenetic tree estimates by summarizing the posterior distribution of trees through metrics such as branch support probabilities, accounting for stochastic and model-based variability in evolutionary inference.

186

Publications

25K

Citations

512

Authors

296

Institutions

Publications per year

2017–2026

45

Authors

512

  1. JP
    John P. Huelsenbeck

    University of California, Berkeley, United States

    7 publications · 3K citations

    7

    h-index

  2. AØ
    Arne Ø. Mooers

    Simon Fraser University, Canada

    5 publications · 341 citations

    5

    h-index

  3. BR
    Bruce Rannala

    University of California, Davis, United States

    5 publications · 1.5K citations

    5

    h-index

  4. IS
    Isabel Sanmartín

    Real Jardín Botánico, Spain

    4 publications · 886 citations

    4

    h-index

  5. AS
    Alexandros Stamatakis

    Heidelberg Institute for Theoretical Studies, Germany

    4 publications · 506 citations

    4

    h-index

1–5 of 512

Venues

  1. Systematic Biology

    33 publications · 3.4K citations

    25

    h-index

  2. Molecular Biology and Evolution

    MBE · 19 publications · 3.7K citations

    18

    h-index

  3. Evolution

    17 publications · 1.5K citations

    15

    h-index

  4. PLoS ONE

    9 publications · 434 citations

    9

    h-index

  5. Journal of Biogeography

    7 publications · 772 citations

    7

    h-index

1–5