Enumeration Optimization
Enumeration Optimization is a methodological framework within undercount analysis that systematically enhances the accuracy and completeness of population enumeration by minimizing omissions and duplications through targeted adjustments in data collection, linkage, and imputation strategies.
8
Publications
418
Citations
26
Authors
15
Institutions
Publications per year
2017–2026
2
Parents
26
1
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1
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1
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1–5 of 26
15
Zimmer Biomet (United States)
Warsaw, United States
1 h-index
1 publications
14 citations
Hamad bin Khalifa University
Doha, Qatar
1 h-index
2 publications
28 citations

Beihang University
Beijing, China
1 h-index
2 publications
20 citations
Becton Dickinson (United States)
Franklin Lakes, United States
1 h-index
1 publications
14 citations

American University of Beirut
Beirut, Lebanon
1 h-index
1 publications
45 citations
Technische Universität Berlin
Berlin, Germany
1 h-index
2 publications
28 citations
University of California, Riverside
Riverside, United States
1 h-index
1 publications
19 citations
University of Potsdam
Potsdam, Germany
1 h-index
2 publications
28 citations
1–8 of 15
1 publications · 14 citations
1
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1 publications · 19 citations
1
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1 publications · 10 citations
1
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1 publications · 110 citations
1
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1 publications · 13 citations
1
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1–5