Causal Network Modeling

Causal Network Modeling is a formal framework for representing and analyzing probabilistic causal relationships among variables in a network structure, distinguished from other network models by its explicit incorporation of directed causal dependencies to infer cause-effect interactions.

601

Publications

40.3K

Citations

2.1K

Authors

847

Institutions

Publications per year

2017–2026

265

Authors

2.1K

  1. KF
    Karl Friston

    University College London, United Kingdom

    10 publications · 1.3K citations

    10

    h-index

  2. SA
    Steen Andreassen

    Aalborg University, Denmark

    8 publications · 528 citations

    8

    h-index

  3. KG
    Kristian G. Olesen

    Aalborg University, Denmark

    7 publications · 1.5K citations

    7

    h-index

  4. EI
    Eiko I. Fried

    Leiden University, Netherlands

    6 publications · 2.4K citations

    6

    h-index

  5. JT
    Jan Treur

    Vrije Universiteit Amsterdam, Netherlands

    6 publications · 277 citations

    6

    h-index

1–5 of 2.1K

Venues

  1. Cerebral Cortex

    12 publications · 1.4K citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 15 publications · 527 citations

    12

    h-index

  3. NeuroImage

    11 publications · 1.8K citations

    11

    h-index

  4. Scientific Reports

    11 publications · 368 citations

    11

    h-index

  5. Human Brain Mapping

    10 publications · 682 citations

    10

    h-index

1–5