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

Authors

15

  1. FR
    Fábio Ricardo Pablos de Souza

    Universidade Estadual Paulista (Unesp), Brazil

    1 publications · 19 citations

    1

    h-index

  2. ML
    Mário Luiz Santana

    Universidade Federal de Mato Grosso, Brazil

    1 publications · 19 citations

    1

    h-index

  3. TW
    Thomas W. Gillespie

    University of California, Los Angeles, United States

    1 publications · 78 citations

    1

    h-index

  4. FA
    Fernando Amarilho-Silveira

    Universidade Federal do Rio Grande do Sul, Brazil

    1 publications · 19 citations

    1

    h-index

  5. XL
    Xinsheng Liu

    Nanjing University of Aeronautics and Astronautics, China

    1 publications · 12 citations

    1

    h-index

1–5 of 15

Venues

  1. 1

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  2. Animal Biodiversity and Conservation

    1 publications · 19 citations

    1

    h-index

  3. Theriogenology

    1 publications · 19 citations

    1

    h-index

  4. Animal Conservation

    1 publications · 78 citations

    1

    h-index

1–4