Biased Sampling Correction
Biased Sampling Correction is a methodological framework within species distribution monitoring that adjusts observational data to account for systematic deviations from random sampling, thereby enabling more accurate inference of species occurrence patterns.
97
Publications
13.9K
Citations
380
Authors
221
Institutions
Publications per year
2017–2026
33
97
1–5 of 97
380
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h-index
2
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2
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1–5 of 380
221

Centre National de la Recherche Scientifique
Paris, France
7 h-index
11 publications
555 citations
University of Oxford
Oxford, United Kingdom
4 h-index
12 publications
5.7K citations

Université de Montpellier
Montpellier, France
4 h-index
9 publications
340 citations

American Museum of Natural History
New York, United States
4 h-index
7 publications
3.2K citations
Centre d'Écologie Fonctionnelle et Évolutive
Montpellier, France
4 h-index
6 publications
401 citations
University of Washington
Seattle, United States
4 h-index
9 publications
546 citations
Institut de Recherche pour le Développement
Marseille, France
4 h-index
11 publications
295 citations

Tel Aviv University
Tel Aviv, Israel
3 h-index
7 publications
973 citations
1–8 of 221
5 publications · 122 citations
5
h-index
4 publications · 2.9K citations
4
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4 publications · 1.6K citations
4
h-index
3 publications · 164 citations
3
h-index
3 publications · 337 citations
3
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1–5