Stochastic Character Mapping

Stochastic Character Mapping is a probabilistic method for reconstructing the evolutionary histories of discrete character traits on phylogenetic trees by sampling character state transitions across branches according to a continuous-time Markov process.

36

Publications

3.5K

Citations

156

Authors

113

Institutions

Publications per year

2017–2026

17

Authors

156

  1. JP
    John P. Huelsenbeck

    University of California, Berkeley, United States

    3 publications · 1.1K citations

    3

    h-index

  2. JP
    Jonathan P. Bollback

    Institute of Science and Technology Austria, Austria

    3 publications · 1.9K citations

    3

    h-index

  3. JL
    Jesse L. Grismer

    La Sierra University, United States

    3 publications · 137 citations

    3

    h-index

  4. LL
    L. Lee Grismer

    La Sierra University, United States

    3 publications · 137 citations

    3

    h-index

  5. AA
    Alexandre Antonelli

    University of Gothenburg, Sweden

    2 publications · 127 citations

    2

    h-index

1–5 of 156

Venues

  1. Systematic Biology

    6 publications · 1.2K citations

    6

    h-index

  2. American Journal of Botany

    4 publications · 98 citations

    4

    h-index

  3. PLoS ONE

    2 publications · 68 citations

    2

    h-index

  4. New Phytologist

    2 publications · 48 citations

    2

    h-index

  5. Molecular Biology and Evolution

    MBE · 1 publications · 48 citations

    1

    h-index

1–5