Risk Optimization

Risk Optimization is a prescriptive analytics methodology that systematically identifies, quantifies, and mitigates uncertainties in decision-making processes to achieve the most favorable trade-off between potential risks and expected rewards under constrained or stochastic environments.

1K

Publications

56.1K

Citations

2.7K

Authors

987

Institutions

Publications per year

2017–2026

418

Authors

2.7K

  1. EZ
    Enrico Zio

    Politecnico di Milano, Italy

    10 publications · 508 citations

    10

    h-index

  2. SN
    Sayyad Nojavan

    University of Tabriz, Iran

    8 publications · 364 citations

    8

    h-index

  3. SU
    Stan Uryasev

    University of Florida, United States

    6 publications · 1.2K citations

    6

    h-index

  4. ZY
    Zhao Yang Dong

    The University of Sydney, Australia

    5 publications · 228 citations

    5

    h-index

  5. KJ
    Kittisak Jermsittiparsert

    Ton Duc Thang University, Vietnam

    5 publications · 209 citations

    5

    h-index

1–5 of 2.7K

Venues

  1. IEEE Transactions on Power Systems

    45 publications · 3.4K citations

    33

    h-index

  2. Reliability Engineering & System Safety

    22 publications · 909 citations

    19

    h-index

  3. European Journal of Operational Research

    18 publications · 618 citations

    15

    h-index

  4. arXiv (Cornell University)

    Repository · 23 publications · 970 citations

    15

    h-index

  5. Energy

    17 publications · 582 citations

    14

    h-index

1–5