Count-based Estimation
Count-Based Estimation is a methodological approach in population size estimation that derives population totals by aggregating direct observational counts, distinguished from indirect or model-based inference techniques by its reliance on enumerated data from defined sampling units or censuses.
185
Publications
13.8K
Citations
554
Authors
256
Institutions
Publications per year
2017–2026
44
Parents
185
EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments
Ning Leng, John A. Dawson, James A. Thomson et al. · Bioinformatics · 2013 · 1.4K citations · Full text
Multi-source Multi-scale Counting in Extremely Dense Crowd Images
Haroon Idrees, Imran Saleemi, Cody Seibert et al. · 2013 · 1.1K citations · Full text
Bayesian Loss for Crowd Count Estimation With Point Supervision
Zhiheng Ma, Xing Wei, Xiaopeng Hong et al. · 2019 · 580 citations
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554
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256
University of Southampton
Southampton, United Kingdom
6 h-index
8 publications
171 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
9 publications
319 citations
The Ohio State University
Columbus, United States
4 h-index
6 publications
197 citations

University of Toronto
Toronto, Canada
4 h-index
11 publications
1.4K citations
University of Reading
Reading, United Kingdom
3 h-index
4 publications
81 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
6 publications
5.4K citations
University of Michigan
Ann Arbor, United States
3 h-index
12 publications
401 citations
The University of Texas at Dallas
Richardson, United States
3 h-index
5 publications
173 citations
1–8 of 256
9 publications · 548 citations
9
h-index
7 publications · 208 citations
7
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Repository · 4 publications · 208 citations
4
h-index
4 publications · 77 citations
4
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4 publications · 80 citations
4
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1–5