Physiological Network Modeling

Physiological Network Modeling is a computational and mathematical framework that represents physiological systems as interconnected networks of biological components to characterize their dynamic interactions and emergent functions.

102

Publications

6.3K

Citations

398

Authors

214

Institutions

Publications per year

2017–2026

27

Authors

398

  1. LF
    Luca Faes

    University of Trento, Italy

    7 publications · 672 citations

    7

    h-index

  2. PC
    Plamen Ch. Ivanov

    Boston University, United States

    5 publications · 1.5K citations

    5

    h-index

  3. GN
    Giandomenico Nollo

    University of Trento, Italy

    5 publications · 303 citations

    5

    h-index

  4. RP
    Ronny P. Bartsch

    Bar-Ilan University, Israel

    4 publications · 1.4K citations

    4

    h-index

  5. AP
    Alberto Porta

    University of Milan, Italy

    3 publications · 314 citations

    3

    h-index

1–5 of 398

Venues

  1. Frontiers in Physiology

    7 publications · 289 citations

    7

    h-index

  2. Neural Networks

    3 publications · 262 citations

    3

    h-index

  3. Entropy

    3 publications · 215 citations

    3

    h-index

  4. Medical & Biological Engineering & Computing

    2 publications · 31 citations

    2

    h-index

  5. Neurocomputing

    2 publications · 64 citations

    2

    h-index

1–5