Evolutionary Innovation Rate

Evolutionary Innovation Rate is a quantitative metric in evolutionary biology that measures the frequency at which novel, heritable traits with functional significance originate and become established within a lineage over evolutionary time.

43

Publications

2.8K

Citations

156

Authors

96

Institutions

Publications per year

2017–2026

9

Authors

156

  1. AW
    Andreas Wagner

    University of Zurich, Switzerland

    4 publications · 322 citations

    4

    h-index

  2. DG
    David G. King

    Southern Illinois University Carbondale, United States

    2 publications · 30 citations

    2

    h-index

  3. TH
    Thorsten Hens

    University of Zurich, Switzerland

    2 publications · 63 citations

    2

    h-index

  4. MO
    Marc Oliver Bettzüge

    University of Zurich, Switzerland

    2 publications · 63 citations

    2

    h-index

  5. LL
    Louis Lefebvre

    McGill University, Canada

    2 publications · 193 citations

    2

    h-index

1–5 of 156

Venues

  1. Evolution

    4 publications · 106 citations

    4

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 183 citations

    3

    h-index

  3. BMC Evolutionary Biology

    3 publications · 201 citations

    3

    h-index

  4. Nature

    2 publications · 582 citations

    2

    h-index

  5. 2

    h-index

1–5