Likelihood-based Biogeography

Likelihood-Based Biogeography is a methodological framework within historical biogeography that uses probabilistic models to infer ancestral geographic distributions by calculating the likelihood of biogeographic scenarios given a phylogeny, taxon distribution data, and an explicit model of geographic range evolution.

43

Publications

5.9K

Citations

119

Authors

81

Institutions

Publications per year

2017–2026

9

Authors

119

  1. RH
    Richard H. Ree

    Field Museum of Natural History, United States

    3 publications · 1.1K citations

    3

    h-index

  2. NJ
    Nicholas J. Matzke

    University of Auckland, New Zealand

    3 publications · 1.6K citations

    3

    h-index

  3. IS
    Isabel Sanmartín

    Real Jardín Botánico, Spain

    2 publications · 200 citations

    2

    h-index

  4. MJ
    Michael J. Donoghue

    Yale University, United States

    2 publications · 963 citations

    2

    h-index

  5. MM
    María Marta Cigliano

    Universidad Nacional de La Plata, Argentina

    2 publications · 266 citations

    2

    h-index

1–5 of 119

Venues

  1. Journal of Biogeography

    7 publications · 566 citations

    7

    h-index

  2. Molecular Phylogenetics and Evolution

    4 publications · 1K citations

    4

    h-index

  3. Systematic Biology

    3 publications · 329 citations

    3

    h-index

  4. Neural Computing and Applications

    2 publications · 132 citations

    2

    h-index

  5. Frontiers of Biogeography

    2 publications · 1.5K citations

    2

    h-index

1–5