Causality Algorithms
Causality Algorithms is a computational method designed to infer or evaluate causal relationships among variables by systematically applying logical, statistical, or machine learning principles to distinguish genuine cause-effect interactions from mere associations.
193
Publications
12.7K
Citations
882
Authors
370
Institutions
Publications per year
2017–2026
102
Parents
193
1–5 of 193
882
6
h-index
6
h-index
5
h-index
Max Planck Institute for Intelligent Systems, Germany
5 publications · 231 citations
5
h-index
4
h-index
1–5 of 882
370
Carnegie Mellon University
Pittsburgh, United States
13 h-index
27 publications
1.8K citations
University of Pittsburgh
Pittsburgh, United States
11 h-index
34 publications
2.2K citations

Hefei University of Technology
Hefei, China
6 h-index
11 publications
385 citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
6 h-index
10 publications
318 citations
University of Washington
Seattle, United States
5 h-index
9 publications
707 citations

University of South Australia
Adelaide, Australia
5 h-index
13 publications
745 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
6 publications
249 citations

Imperial College London
London, United Kingdom
4 h-index
10 publications
2.9K citations
1–8 of 370
Repository · 23 publications · 1.3K citations
16
h-index
Conference · 6 publications · 186 citations
6
h-index
4 publications · 196 citations
4
h-index
Repository · 4 publications · 166 citations
4
h-index
3 publications · 244 citations
3
h-index
1–5