Biodiversity Data Analysis
Biodiversity Data Analysis is a scientific methodology that specifically involves the systematic quantification, modeling, and interpretation of species distribution, abundance, and ecological relationships within natural environments to assess patterns and drivers of biological diversity.
475
Publications
46.8K
Citations
2.7K
Authors
1.1K
Institutions
Publications per year
2017–2026
221
Parents
475
Essential Biodiversity Variables
Henrique M. Pereira, Simon Ferrier, Michéle Walters et al. · Science · 2013 · 1.6K citations
Darwin Core: An Evolving Community-Developed Biodiversity Data Standard
John Wieczorek, David Bloom, Robert Guralnick et al. · PLoS ONE · 2012 · 1.2K citations · Full text
1–5 of 475
2.7K
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14
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12
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1–5 of 2.7K
1.1K

Global Biodiversity Information Facility
Copenhagen, Denmark
23 h-index
58 publications
9.3K citations

Centre National de la Recherche Scientifique
Paris, France
20 h-index
42 publications
9.5K citations
University of Kansas
Lawrence, United States
18 h-index
35 publications
5.2K citations
University of California, Berkeley
Berkeley, United States
17 h-index
41 publications
8.1K citations
German Centre for Integrative Biodiversity Research
Leipzig, Germany
17 h-index
36 publications
3.1K citations
Natural History Museum
London, United Kingdom
16 h-index
21 publications
3K citations
University of Florida
Gainesville, United States
16 h-index
24 publications
2.9K citations

Florida Museum of Natural History
Gainesville, United States
16 h-index
34 publications
3.7K citations
1–8 of 1.1K
BDJ · 21 publications · 1.1K citations
17
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14 publications · 2.6K citations
14
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12 publications · 685 citations
12
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13 publications · 6.2K citations
12
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RIO · 13 publications · 525 citations
11
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