Stochastic Optimization

Stochastic Optimization is a subfield of mathematical optimization that addresses decision-making under uncertainty by incorporating random variables and probabilistic constraints into the optimization model.

15.6K

Publications

1M

Citations

25.2K

Authors

4.2K

Institutions

Publications per year

2017–2026

5.6K

Authors

25.2K

  1. GH
    Guohe Huang

    University of Regina, Canada

    138 publications · 7K citations

    48

    h-index

  2. AS
    Alexander Shapiro

    Georgia Institute of Technology, United States

    49 publications · 11.8K citations

    36

    h-index

  3. RJ
    Roger J.‐B. Wets

    University of California, Davis, United States

    48 publications · 6.3K citations

    34

    h-index

  4. AR
    Andrzej Ruszczyński

    Rutgers, The State University of New Jersey, United States

    47 publications · 4.2K citations

    32

    h-index

  5. WB
    Warren B. Powell

    Princeton University, United States

    41 publications · 3.1K citations

    28

    h-index

1–5 of 25.2K

Venues

  1. IEEE Transactions on Power Systems

    294 publications · 34.7K citations

    106

    h-index

  2. arXiv (Cornell University)

    Repository · 1.2K publications · 56.3K citations

    97

    h-index

  3. Operations Research

    253 publications · 26.4K citations

    85

    h-index

  4. Mathematical Programming

    222 publications · 25.7K citations

    82

    h-index

  5. European Journal of Operational Research

    385 publications · 23.4K citations

    81

    h-index

1–5