Simulation Methods

Simulation Methods is a class of computational techniques in stochastic modeling that approximate the behavior and performance of random systems by generating and analyzing synthetic sample paths or realizations from specified probabilistic models instead of deriving closed-form analytical solutions.

19.8K

Publications

1.2M

Citations

36.6K

Authors

5.9K

Institutions

Publications per year

2017–2026

3.1K

Authors

36.6K

  1. JK
    J.P.C. Kleijnen

    Tilburg University, Netherlands

    73 publications · 5.7K citations

    37

    h-index

  2. BL
    Barry L. Nelson

    Northwestern University, United States

    79 publications · 5.3K citations

    37

    h-index

  3. PW
    Peter W. Glynn

    Stanford University, United States

    68 publications · 4.9K citations

    31

    h-index

  4. AM
    Averill M. Law

    University of Arizona, United States

    48 publications · 12.1K citations

    30

    h-index

  5. LW
    Lee W. Schruben

    Cornell University, United States

    48 publications · 4.2K citations

    29

    h-index

1–5 of 36.6K

Venues

  1. The Journal of Chemical Physics

    582 publications · 45.9K citations

    98

    h-index

  2. Physical Review Letters

    PRL · 148 publications · 38.8K citations

    70

    h-index

  3. Journal of Computational Physics

    233 publications · 36K citations

    63

    h-index

  4. IEEE Transactions on Power Systems

    143 publications · 12.6K citations

    62

    h-index

  5. Operations Research

    124 publications · 14.1K citations

    59

    h-index

1–5