Decision Networks
Decision Networks is a formal probabilistic graphical model that extends influence diagrams by integrating decision nodes, utility nodes, and chance nodes within a unified Bayesian network framework to represent and solve sequential decision-making problems under uncertainty.
238
Publications
13.1K
Citations
671
Authors
360
Institutions
Publications per year
2017–2026
79
Parents
238
Ronald A. Howard, James Matheson · Decision Analysis · 2005 · 820 citations
Ross D. Shachter, C. Robert Kenley · Management Science · 1989 · 316 citations
1–5 of 238
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360
Stanford University
Stanford, United States
6 h-index
7 publications
656 citations
Tsinghua University
Beijing, China
4 h-index
12 publications
345 citations
Princeton University
Princeton, United States
4 h-index
11 publications
1.7K citations

Pennsylvania State University
State College, United States
3 h-index
4 publications
129 citations

Ferdowsi University of Mashhad
Mashhad, Iran
3 h-index
7 publications
183 citations

University of British Columbia
Vancouver, Canada
3 h-index
6 publications
2K citations
University College London
London, United Kingdom
3 h-index
8 publications
455 citations
Queen Mary University of London
London, United Kingdom
3 h-index
6 publications
647 citations
1–8 of 360
9 publications · 937 citations
9
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Repository · 6 publications · 140 citations
6
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6 publications · 535 citations
6
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5 publications · 374 citations
5
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3 publications · 86 citations
3
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1–5