Incidence Function Modeling

Incidence Function Modeling is a metapopulation modeling framework that predicts the probability of species occurrence in habitat patches by integrating patch connectivity and area-dependent colonization and extinction dynamics.

117

Publications

14.8K

Citations

366

Authors

229

Institutions

Publications per year

2017–2026

31

Authors

366

  1. IH
    Ilkka Hanski

    University of Helsinki, Finland

    8 publications · 3.5K citations

    8

    h-index

  2. IH
    Ilkka Hanski

    University of Helsinki, Finland

    6 publications · 854 citations

    6

    h-index

  3. AM
    Atte Moilanen

    University of Helsinki, Finland

    5 publications · 1.2K citations

    5

    h-index

  4. RJ
    Robert J. Wilson

    University of Exeter, United Kingdom

    4 publications · 374 citations

    4

    h-index

  5. CD
    Chris D. Thomas

    University of York, United Kingdom

    4 publications · 374 citations

    4

    h-index

1–5 of 366

Venues

  1. Ecology

    13 publications · 3.3K citations

    12

    h-index

  2. Statistics in Medicine

    7 publications · 954 citations

    7

    h-index

  3. Conservation Biology

    6 publications · 537 citations

    6

    h-index

  4. Oikos

    5 publications · 355 citations

    5

    h-index

  5. Ecological Applications

    3 publications · 310 citations

    3

    h-index

1–5