Joint Evolutionary Inference

Joint Evolutionary Inference is a phylogenetic comparative method that simultaneously estimates evolutionary relationships and trait dynamics within a unified statistical framework, thereby integrating uncertainty in phylogeny and character evolution to improve inferential accuracy.

60

Publications

11K

Citations

235

Authors

141

Institutions

Publications per year

2017–2026

22

Authors

235

  1. TS
    Tanja Stadler

    ETH Zurich, Switzerland

    5 publications · 4.8K citations

    5

    h-index

  2. AJ
    Alexei J. Drummond

    University of Auckland, New Zealand

    5 publications · 4.9K citations

    5

    h-index

  3. NF
    Nicola F. Müller

    Fred Hutch Cancer Center, United States

    4 publications · 4.8K citations

    4

    h-index

  4. HA
    Huw A. Ogilvie

    Rice University, United States

    4 publications · 4.8K citations

    4

    h-index

  5. TG
    Timothy G. Vaughan

    ETH Zurich, Switzerland

    3 publications · 4.8K citations

    3

    h-index

1–5 of 235

Venues

  1. Molecular Phylogenetics and Evolution

    7 publications · 605 citations

    7

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 88 citations

    3

    h-index

  3. Molecular Biology and Evolution

    MBE · 3 publications · 83 citations

    3

    h-index

  4. Systematic Biology

    3 publications · 298 citations

    3

    h-index

  5. 2

    h-index

1–5