Uniform Random Sampling

Uniform Random Sampling is a method of random number generation that selects elements from a finite set with equal probability, ensuring each possible outcome has an identical chance of being chosen.

214

Publications

11.8K

Citations

577

Authors

275

Institutions

Publications per year

2017–2026

56

Authors

577

  1. ÉF
    Éric Fusy

    Laboratoire d'Informatique de l'École Polytechnique, France

    5 publications · 153 citations

    5

    h-index

  2. BP
    Bente Pakkenberg

    Bispebjerg Hospital, Denmark

    3 publications · 204 citations

    3

    h-index

  3. JR
    Jens Randel Nyengaard

    Aarhus University, Denmark

    3 publications · 74 citations

    3

    h-index

  4. DB
    Don Batory

    The University of Texas at Austin, United States

    3 publications · 201 citations

    3

    h-index

  5. DM
    Daniel M. Kane

    University of California San Diego, United States

    3 publications · 301 citations

    3

    h-index

1–5 of 577

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 858 citations

    12

    h-index

  2. Journal of Microscopy

    4 publications · 146 citations

    4

    h-index

  3. Bioinformatics

    3 publications · 179 citations

    3

    h-index

  4. Journal of Applied Physiology

    2 publications · 79 citations

    2

    h-index

  5. ACM Transactions on Mathematical Software

    TOMS · 2 publications · 71 citations

    2

    h-index

1–5