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

Authors

671

  1. NF
    Norman Fenton

    Queen Mary University of London, United Kingdom

    5 publications · 381 citations

    5

    h-index

  2. NB
    Nelly Bencomo

    Aston University, United Kingdom

    4 publications · 113 citations

    4

    h-index

  3. SK
    Sun‐Yuan Kung

    Princeton University, United States

    4 publications · 814 citations

    4

    h-index

  4. RD
    Ross D. Shachter

    Stanford University, United States

    4 publications · 436 citations

    4

    h-index

  5. DL
    David L. Kleinman

    University of Connecticut, United States

    3 publications · 89 citations

    3

    h-index

1–5 of 671

Venues

  1. Reliability Engineering & System Safety

    9 publications · 937 citations

    9

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 140 citations

    6

    h-index

  3. Environmental Modelling & Software

    6 publications · 535 citations

    6

    h-index

  4. Expert Systems with Applications

    5 publications · 374 citations

    5

    h-index

  5. Operations Research

    3 publications · 86 citations

    3

    h-index

1–5