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
Parents
27
Isolde Birdthistle, Daniel Kwaro, Maryam Shahmanesh et al. · PLoS Medicine · 2021 · 51 citations · Full text
1–5 of 27
116
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Fundación Para La Investigación Y Gestión En Servicios de Salud, Ecuador
1 publications · 40 citations
1
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1
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1–5 of 116
64
United States Geological Survey
Reston, United States
3 h-index
4 publications
68 citations

University of St Andrews
St Andrews, United Kingdom
2 h-index
5 publications
167 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
2 publications
32 citations

La Trobe University
Melbourne, Australia
2 h-index
2 publications
32 citations
University of Pavia
Pavia, Italy
1 h-index
1 publications
17 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
1 h-index
4 publications
136 citations
University College London
London, United Kingdom
1 h-index
1 publications
51 citations
Office National de la Chasse et de la Faune Sauvage
Auffargis, France
1 h-index
2 publications
254 citations
1–8 of 64
2 publications · 67 citations
2
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1 publications · 31 citations
1
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1 publications · 26 citations
1
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1 publications · 18 citations
1
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1 publications · 127 citations
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