Concepedia

Causal Graphical Models

Causal Graphical Models is a formal framework in causal inference that uses directed acyclic graphs to represent causal relationships among variables, where nodes denote variables and edges encode direct causal effects, thereby distinguishing it from purely associative or statistical graphical models by explicitly modeling interventions and counterfactuals.

2.4K

Publications

187K

Citations

5.1K

Authors

1.6K

Institutions

Publications per year

2017–2026

1.1K

Variants

Causal GraphsStructural Causal Models

Parents

Children

Publications

2.4K

Causality: Models, Reasoning and Inference

Christopher Hitchcock, Judea Pearl · The Philosophical Review · 2001 · 4.8K citations

, , +14

Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems

Steffen L. Lauritzen, David J. Spiegelhalter · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1988 · 4K citations

, , +16

Causal Diagrams for Epidemiologic Research

Sander Greenland, Judea Pearl, James M. Robins · Epidemiology · 1999 · 3.7K citations

, , +15

Causal Inference without Balance Checking: Coarsened Exact Matching

Stefano M. Iacus, Gary King, Giuseppe Porro · Political Analysis · 2011 · 3.5K citations · Full text

, , +12

Causality: models, reasoning, and inference

Choice Reviews Online · 2000 · 2.9K citations

, , +5

1–5 of 2.4K

Authors

5.1K

  1. JP
    Judea Pearl

    University of California, Los Angeles, United States

    61 publications · 17.7K citations

    38

    h-index

  2. BS
    Bernhard Schölkopf

    Max Planck Institute for Intelligent Systems, Germany

    31 publications · 3.5K citations

    22

    h-index

  3. CG
    Clark Glymour

    Carnegie Mellon University, United States

    32 publications · 3K citations

    21

    h-index

  4. DJ
    Dominik Janzing

    Max Planck Institute for Intelligent Systems, Germany

    26 publications · 2.2K citations

    20

    h-index

  5. PS
    Peter Spirtes

    Carnegie Mellon University, United States

    26 publications · 2K citations

    19

    h-index

1–5 of 5.1K

Institutions

1.6K

  1. Harvard University

    Cambridge, United States

    47 h-index

    111 publications

    30.1K citations

  2. University of California, Los Angeles

    Los Angeles, United States

    39 h-index

    128 publications

    13.6K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    35 h-index

    154 publications

    12.3K citations

  4. ETH Zurich

    Zurich, Switzerland

    27 h-index

    64 publications

    10.6K citations

  5. Stanford University

    Stanford, United States

    26 h-index

    57 publications

    6.2K citations

  6. University College London

    London, United Kingdom

    25 h-index

    63 publications

    2.6K citations

  7. Tsinghua University

    Beijing, China

    24 h-index

    80 publications

    5.2K citations

  8. Massachusetts Institute of Technology

    Cambridge, United States

    22 h-index

    60 publications

    3.6K citations

1–8 of 1.6K

Venues

  1. arXiv (Cornell University)

    Repository · 208 publications · 7.7K citations

    45

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 40 publications · 1.4K citations

    22

    h-index

  3. Journal of the American Statistical Association

    23 publications · 2.8K citations

    19

    h-index

  4. Artificial Intelligence

    21 publications · 2.8K citations

    18

    h-index

  5. Epidemiology

    19 publications · 6.3K citations

    18

    h-index

1–5