Likelihood-based Ancestral Range Estimation

Likelihood-Based Ancestral Range Estimation is a statistical method in phylogeography that uses probabilistic models to infer the most probable geographic distributions of ancestral species at internal nodes of a phylogenetic tree by maximizing the likelihood of observed taxon ranges given a specified model of range evolution.

53

Publications

4.4K

Citations

238

Authors

167

Institutions

Publications per year

2017–2026

32

Authors

238

  1. RH
    Richard H. Ree

    Field Museum of Natural History, United States

    4 publications · 1.3K citations

    4

    h-index

  2. NP
    Nigel P. Taylor

    Royal Botanic Gardens, Kew, United Kingdom

    2 publications · 51 citations

    2

    h-index

  3. RM
    Richard M. Saunders

    University of Hong Kong, Hong Kong SAR China

    2 publications · 46 citations

    2

    h-index

  4. FF
    Fernando Faria Franco

    Universidade Federal de São Carlos, Brazil

    2 publications · 51 citations

    2

    h-index

  5. EF
    Emmanuel F. A. Toussaint

    Bavarian State Collection of Zoology, Germany

    2 publications · 71 citations

    2

    h-index

1–5 of 238

Venues

  1. Journal of Biogeography

    12 publications · 597 citations

    12

    h-index

  2. Systematic Biology

    6 publications · 1.8K citations

    6

    h-index

  3. Molecular Phylogenetics and Evolution

    5 publications · 217 citations

    5

    h-index

  4. American Journal of Botany

    5 publications · 163 citations

    5

    h-index

  5. Evolution

    5 publications · 1.1K citations

    5

    h-index

1–5