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
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Field Museum of Natural History
Chicago, United States
6 h-index
8 publications
1.4K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
13 publications
902 citations

National Museum of Natural History
Washington, United States
4 h-index
5 publications
234 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
4 publications
90 citations
University of Florida
Gainesville, United States
3 h-index
8 publications
549 citations
Universidade de São Paulo
São Paulo, Brazil
3 h-index
3 publications
119 citations
Smithsonian Institution
Washington, United States
3 h-index
3 publications
91 citations
University of Kansas
Lawrence, United States
3 h-index
6 publications
176 citations
1–8 of 167
12 publications · 597 citations
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6 publications · 1.8K citations
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5 publications · 217 citations
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5 publications · 163 citations
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5 publications · 1.1K citations
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