Constraint-based Network Modeling

Constraint-Based Network Modeling is a network modeling approach that belongs to the class of formal methods for analyzing and predicting system behavior, distinguished by its reliance on a set of mathematical constraints—such as mass balance, thermodynamic feasibility, and flux capacity—to define the feasible space of interactions or flows within a network.

90

Publications

5.6K

Citations

325

Authors

173

Institutions

Publications per year

2017–2026

29

Authors

325

  1. HG
    Holger Gohlke

    Heinrich Heine University Düsseldorf, Germany

    6 publications · 319 citations

    6

    h-index

  2. IT
    Ines Thiele

    University of Luxembourg, Luxembourg

    5 publications · 405 citations

    5

    h-index

  3. YC
    Yuanfang Cai

    Drexel University, United States

    5 publications · 93 citations

    5

    h-index

  4. CP
    Christopher Pfleger

    Heinrich Heine University Düsseldorf, Germany

    4 publications · 289 citations

    4

    h-index

  5. AH
    Almut Heinken

    Ollscoil na Gaillimhe – University of Galway, Ireland

    3 publications · 305 citations

    3

    h-index

1–5 of 325

Venues

  1. Bioinformatics

    7 publications · 804 citations

    7

    h-index

  2. PLoS ONE

    4 publications · 216 citations

    4

    h-index

  3. PLoS Computational Biology

    3 publications · 232 citations

    3

    h-index

  4. BMC Systems Biology

    3 publications · 95 citations

    3

    h-index

  5. Nature Communications

    3 publications · 279 citations

    3

    h-index

1–5