Monte Carlo Methods

Monte Carlo Methods is a computational technique that belongs to the class of numerical algorithms relying on random sampling, distinguished by its use of stochastic processes to approximate solutions to mathematical or physical problems through statistical estimation.

30.2K

Publications

2.1M

Citations

75.4K

Authors

7K

Institutions

Publications per year

2017–2026

5.2K

Authors

75.4K

  1. GO
    Gareth O. Roberts

    University of Warwick, United Kingdom

    94 publications · 15.2K citations

    50

    h-index

  2. KB
    Kurt Binder

    Johannes Gutenberg University Mainz, Germany

    75 publications · 7.2K citations

    43

    h-index

  3. AD
    Arnaud Doucet

    University of Cambridge, United Kingdom

    87 publications · 12.7K citations

    41

    h-index

  4. DM
    David M. Ceperley

    University of Illinois Urbana-Champaign, United States

    47 publications · 6.2K citations

    34

    h-index

  5. JS
    Jeffrey S. Rosenthal

    University of Toronto, Canada

    51 publications · 7.4K citations

    32

    h-index

1–5 of 75.4K

Venues

  1. Physical Review Letters

    PRL · 438 publications · 59.9K citations

    117

    h-index

  2. Journal of the American Statistical Association

    358 publications · 81.6K citations

    113

    h-index

  3. The Journal of Chemical Physics

    955 publications · 62.1K citations

    111

    h-index

  4. Physical review. B, Condensed matter

    PRB · 431 publications · 31.5K citations

    90

    h-index

  5. Computer Physics Communications

    389 publications · 31.4K citations

    79

    h-index

1–5