Causal Interaction Modeling

Causal Interaction Modeling is a computational framework within Cross-Impact Analysis that formally represents and quantifies the directional dependencies and feedback structures among variables to assess how causal relationships propagate effects across interconnected events or systems.

314

Publications

24.8K

Citations

930

Authors

447

Institutions

Publications per year

2017–2026

112

Authors

930

  1. KF
    Karl Friston

    University College London, United Kingdom

    11 publications · 1.1K citations

    11

    h-index

  2. TJ
    Tyler J. VanderWeele

    Harvard University, United States

    5 publications · 875 citations

    5

    h-index

  3. NK
    Ned Kock

    Texas A&M International University, United States

    4 publications · 602 citations

    4

    h-index

  4. AH
    Abdulnasser Hatemi‐J

    United Arab Emirates University, United Arab Emirates

    3 publications · 152 citations

    3

    h-index

  5. GN
    Giandomenico Nollo

    University of Trento, Italy

    3 publications · 196 citations

    3

    h-index

1–5 of 930

Venues

  1. NeuroImage

    13 publications · 1.1K citations

    13

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 167 citations

    8

    h-index

  3. Human Brain Mapping

    8 publications · 562 citations

    8

    h-index

  4. Cerebral Cortex

    7 publications · 870 citations

    7

    h-index

  5. PLoS ONE

    7 publications · 256 citations

    7

    h-index

1–5