Monte Carlo Simulation

Monte Carlo Simulation is a computational technique that uses random sampling from probability distributions to estimate numerical results, distinguishing itself by relying on stochastic processes to approximate solutions to deterministic or probabilistic problems across diverse scientific and engineering domains.

27.4K

Publications

1.8M

Citations

79.2K

Authors

6.9K

Institutions

Publications per year

2017–2026

4.9K

Authors

79.2K

  1. KB
    Kurt Binder

    Johannes Gutenberg University Mainz, Germany

    69 publications · 5.8K citations

    38

    h-index

  2. GO
    Gareth O. Roberts

    University of Warwick, United Kingdom

    59 publications · 9.6K citations

    35

    h-index

  3. DM
    David M. Ceperley

    University of Illinois Urbana-Champaign, United States

    49 publications · 5.3K citations

    35

    h-index

  4. AD
    Arnaud Doucet

    University of Cambridge, United Kingdom

    61 publications · 7.8K citations

    33

    h-index

  5. SJ
    S. Jadach

    European Organization for Nuclear Research, Switzerland

    43 publications · 5.7K citations

    31

    h-index

1–5 of 79.2K

Venues

  1. Physical Review Letters

    PRL · 410 publications · 56.5K citations

    114

    h-index

  2. The Journal of Chemical Physics

    885 publications · 54K citations

    105

    h-index

  3. Journal of the American Statistical Association

    256 publications · 55.7K citations

    88

    h-index

  4. Physical review. B, Condensed matter

    PRB · 393 publications · 28K citations

    86

    h-index

  5. Computer Physics Communications

    366 publications · 32.3K citations

    81

    h-index

1–5