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
Parents
601
A model for reasoning about persistence and causation
Thomas Dean, Keiji Kanazawa · Computational Intelligence · 1989 · 999 citations
1–5 of 601
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847
University College London
London, United Kingdom
16 h-index
47 publications
4.4K citations

University of Amsterdam
Amsterdam, The Netherlands
14 h-index
36 publications
5.4K citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
12 h-index
24 publications
3.6K citations

University of Minnesota
Minneapolis, United States
12 h-index
25 publications
2K citations
Aalborg University
Aalborg, Denmark
11 h-index
25 publications
3.9K citations
University of Pittsburgh
Pittsburgh, United States
10 h-index
18 publications
1.5K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
34 publications
1.7K citations
Harvard University
Cambridge, United States
9 h-index
18 publications
6.3K citations
1–8 of 847
12 publications · 1.4K citations
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Repository · 15 publications · 527 citations
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11 publications · 1.8K citations
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11 publications · 368 citations
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10 publications · 682 citations
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