Co-occurrence Network Inference

Co-Occurrence Network Inference is a methodological framework within ecological network inference that identifies and quantifies non-random associations among species or taxa across environmental samples to infer potential ecological interactions based on their joint presence or absence patterns.

21

Publications

3.4K

Citations

102

Authors

75

Institutions

Publications per year

2017–2026

16

Authors

102

  1. AK
    Allison K. Barner

    Oregon State University, United States

    2 publications · 192 citations

    2

    h-index

  2. MW
    Mengyuan Wang

    Lanzhou University, China

    1 publications · 14 citations

    1

    h-index

  3. EA
    Evie A. Wieters

    Pontificia Universidad Católica de Chile, Chile

    1 publications · 425 citations

    1

    h-index

  4. SM
    Sho Mitomo

    Tokyo Medical and Dental University, Japan

    1 publications · 18 citations

    1

    h-index

  5. LM
    Lingjie Meng

    Kyoto University Institute for Chemical Research

    1 publications · 40 citations

    1

    h-index

1–5 of 102

Venues

  1. PLoS ONE

    2 publications · 123 citations

    2

    h-index

  2. Ecology

    2 publications · 552 citations

    2

    h-index

  3. 1

    h-index

  4. Environmental Monitoring and Assessment

    1 publications · 33 citations

    1

    h-index

  5. The Science of The Total Environment

    1 publications · 91 citations

    1

    h-index

1–5