Likelihood-based Tree Comparison

Likelihood-Based Tree Comparison is a statistical method for quantifying the relative support of competing phylogenetic tree topologies by evaluating their likelihood scores under a given evolutionary model.

113

Publications

12.5K

Citations

394

Authors

227

Institutions

Publications per year

2017–2026

16

Authors

394

  1. JF
    Joseph F. Ryan

    University of Florida, United States

    3 publications · 67 citations

    3

    h-index

  2. TW
    Tandy Warnow

    The University of Texas at Austin, United States

    3 publications · 282 citations

    3

    h-index

  3. CW
    Casey W. Dunn

    Brown University, United States

    3 publications · 67 citations

    3

    h-index

  4. KD
    Kevin de Queiroz

    National Museum of Natural History, United States

    3 publications · 94 citations

    3

    h-index

  5. JI
    Jong Im Kim

    Chungnam National University, South Korea

    2 publications · 67 citations

    2

    h-index

1–5 of 394

Venues

  1. Systematic Biology

    10 publications · 1.7K citations

    10

    h-index

  2. Molecular Phylogenetics and Evolution

    8 publications · 635 citations

    8

    h-index

  3. Molecular Biology and Evolution

    MBE · 5 publications · 335 citations

    5

    h-index

  4. Journal of Phycology

    4 publications · 356 citations

    4

    h-index

  5. PLoS ONE

    3 publications · 276 citations

    3

    h-index

1–5