Causal Networks

Causal Networks is a theoretical framework within narrative causality that models the interdependencies and directional relationships among narrative events to explain how antecedent actions structurally determine subsequent outcomes in a story.

409

Publications

28K

Citations

1.2K

Authors

533

Institutions

Publications per year

2017–2026

112

Authors

1.2K

  1. GJ
    Guilherme J. M. Rosa

    University of Wisconsin–Madison, United States

    7 publications · 290 citations

    7

    h-index

  2. JP
    Judea Pearl

    University of California, Los Angeles, United States

    7 publications · 429 citations

    7

    h-index

  3. CY
    Changwon Yoo

    Florida International University, United States

    6 publications · 283 citations

    6

    h-index

  4. PV
    Paul van den Broek

    Radboud University Nijmegen, Netherlands

    6 publications · 706 citations

    6

    h-index

  5. BV
    B.D. Valente

    University of Wisconsin–Madison, United States

    6 publications · 263 citations

    6

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 839 citations

    15

    h-index

  2. PLoS ONE

    9 publications · 319 citations

    9

    h-index

  3. Discourse Processes

    DP · 7 publications · 1.1K citations

    7

    h-index

  4. Cognitive Science

    6 publications · 999 citations

    6

    h-index

  5. British Journal of Psychology

    5 publications · 121 citations

    5

    h-index

1–5