Landscape Predictability

Landscape Predictability is a quantitative metric within fitness landscape analysis that characterizes the degree to which the topological structure of a fitness landscape enables accurate forecasting of evolutionary or search trajectories based on local fitness gradients and landscape features.

7

Publications

612

Citations

24

Authors

24

Institutions

Publications per year

2017–2026

2

Authors

24

  1. MI
    Michael I. Bird

    James Cook University, Australia

    1 publications · 67 citations

    1

    h-index

  2. AW
    Andreas Wagner

    University of Zurich, Switzerland

    1 publications · 115 citations

    1

    h-index

  3. NJ
    Nicholas J. Preston

    Victoria University of Wellington, New Zealand

    1 publications · 17 citations

    1

    h-index

  4. AP
    Andrei Papkou

    Christian-Albrechts-Universität zu Kiel, Germany

    1 publications · 115 citations

    1

    h-index

  5. JA
    José Antonio Escudero

    Universidad Complutense de Madrid, Spain

    1 publications · 115 citations

    1

    h-index

1–5 of 24

Venues

  1. Science

    1 publications · 115 citations

    1

    h-index

  2. Geography Compass

    1 publications · 17 citations

    1

    h-index

  3. Florida Entomologist

    1 publications · 58 citations

    1

    h-index

  4. Plant protection quarterly

    1 publications · 76 citations

    1

    h-index

  5. Nature Human Behaviour

    1 publications · 67 citations

    1

    h-index

1–5