Nestedness Rank-order Models
Nestedness Rank-Order Models is a computational framework in ecological network analysis that characterizes the degree of nestedness by ranking species interactions according to their occurrence frequencies and comparing observed patterns against null models while preserving the hierarchical structure of species distributions.
4
Publications
128
Citations
15
Authors
12
Institutions
Publications per year
2017–2026
1
Parents
4
1–4 of 4
15
Universidade Estadual Paulista (Unesp), Brazil
1 publications · 19 citations
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University of California, Los Angeles, United States
1 publications · 78 citations
1
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Universidade Federal do Rio Grande do Sul, Brazil
1 publications · 19 citations
1
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1
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1–5 of 15
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Universidade Federal de Mato Grosso
Cuiabá, Brazil
1 h-index
2 publications
38 citations

Universidade Federal de Pelotas
Pelotas, Brazil
1 h-index
5 publications
95 citations
Nanjing University
Nanjing, China
1 h-index
2 publications
24 citations
Xijing University
Xi'an, China
1 h-index
2 publications
24 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
2 publications
156 citations
ForestGEO
Washington, United States
1 h-index
1 publications
78 citations
U.S. National Arboretum
Washington D.C., United States
1 h-index
1 publications
78 citations
National Space Activities Commission
Buenos Aires, Argentina
1 h-index
1 publications
19 citations
1–8 of 12
1 publications · 12 citations
1
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1 publications · 19 citations
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1 publications · 19 citations
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1 publications · 78 citations
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