Plant Network Inference

Plant Network Inference is a computational method that specifically reconstructs species interaction networks in plant-centric ecological systems by integrating observational data with mechanistic or statistical models to infer pairwise dependencies among plant taxa and their associated biotic partners.

25

Publications

1.4K

Citations

123

Authors

57

Institutions

Publications per year

2017–2026

13

Authors

123

  1. CS
    Claudia Solís‐Lemus

    University of Wisconsin–Madison, United States

    2 publications · 28 citations

    2

    h-index

  2. PS
    Paul S. Manos

    Duke University, United States

    2 publications · 28 citations

    2

    h-index

  3. GP
    George P. Tiley

    Duke University, United States

    2 publications · 28 citations

    2

    h-index

  4. AA
    Andrew A. Crowl

    University of Florida, United States

    2 publications · 28 citations

    2

    h-index

  5. JB
    Jim Beynon

    University of Warwick, United Kingdom

    2 publications · 410 citations

    2

    h-index

1–5 of 123

Venues

  1. Applied Soft Computing

    2 publications · 29 citations

    2

    h-index

  2. BMC Plant Biology

    2 publications · 108 citations

    2

    h-index

  3. PLANT PHYSIOLOGY

    2 publications · 103 citations

    2

    h-index

  4. The Plant Cell

    2 publications · 671 citations

    2

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 11 citations

    1

    h-index

1–5