Random Number Sampling

Random Number Sampling is a stochastic method in Monte Carlo Radiation Transport that involves generating pseudorandom numbers according to specified probability distributions to simulate the probabilistic behavior of particle interactions and trajectories.

220

Publications

7.5K

Citations

618

Authors

253

Institutions

Publications per year

2017–2026

99

Authors

618

  1. BW
    Bruce W. Schmeiser

    Purdue University West Lafayette, United States

    4 publications · 85 citations

    4

    h-index

  2. DN
    Dewiana Novitasari

    Universitas Patria Artha, Indonesia

    2 publications · 41 citations

    2

    h-index

  3. SN
    Sutham Nanthamongkolchai

    Mahidol University, Thailand

    2 publications · 53 citations

    2

    h-index

  4. CK
    Christopher Kulla

    Walt Disney (United States), United States

    2 publications · 46 citations

    2

    h-index

  5. MS
    Mohammed S. Chowdhury

    Touro College, United States

    2 publications · 138 citations

    2

    h-index

1–5 of 618

Venues

  1. PubMed

    Repository · 7 publications · 149 citations

    7

    h-index

  2. 4

    h-index

  3. DOAJ (DOAJ: Directory of Open Access Journals)

    Repository · 4 publications · 76 citations

    4

    h-index

  4. SSRN Electronic Journal

    Repository · 3 publications · 33 citations

    3

    h-index

  5. Jurnal Ilmiah Sekolah Dasar

    3 publications · 64 citations

    3

    h-index

1–5