Open Population Estimation

Open Population Estimation is a methodological framework in population estimation that specifically addresses the dynamic inclusion and exclusion of individuals over time, distinguished from closed population models by accounting for births, deaths, immigration, and emigration within the study period.

27

Publications

929

Citations

116

Authors

64

Institutions

Publications per year

2017–2026

8

Authors

116

  1. PS
    Paul S. F. Yip

    University of Hong Kong, Hong Kong SAR China

    2 publications · 32 citations

    2

    h-index

  2. RH
    Richard Huggins

    La Trobe University, Australia

    2 publications · 32 citations

    2

    h-index

  3. JN
    J. N. S. Matthews

    Newcastle University, United Kingdom

    1 publications · 27 citations

    1

    h-index

  4. CC
    Cristina Castro

    Fundación Para La Investigación Y Gestión En Servicios de Salud, Ecuador

    1 publications · 40 citations

    1

    h-index

  5. CM
    Christian Miquel

    Laboratoire d'Écologie Alpine, France

    1 publications · 127 citations

    1

    h-index

1–5 of 116

Venues

  1. 2

    h-index

  2. River Research and Applications

    1 publications · 31 citations

    1

    h-index

  3. Journal of Zoology

    1 publications · 26 citations

    1

    h-index

  4. Ecological Applications

    1 publications · 18 citations

    1

    h-index

  5. Conservation Biology

    1 publications · 127 citations

    1

    h-index

1–5