Pseudo-random Number Generators

Pseudo-Random Number Generators is a computational algorithm that deterministically produces sequences of numbers designed to simulate the statistical properties of true random processes, differing from true random number generators by relying on initial seed values and periodic, reproducible outputs.

1.2K

Publications

61.1K

Citations

2.4K

Authors

957

Institutions

Publications per year

2017–2026

329

Authors

2.4K

  1. HN
    Harald Niederreiter

    Austrian Academy of Sciences, Austria

    35 publications · 4.9K citations

    24

    h-index

  2. JE
    Jürgen Eichenauer‐Herrmann

    Darmstadt University of Applied Sciences, Germany

    18 publications · 392 citations

    13

    h-index

  3. AW
    Arne Winterhof

    Austrian Academy of Sciences, Austria

    9 publications · 199 citations

    9

    h-index

  4. IE
    Igor E. Shparlinski

    Macquarie University, Australia

    9 publications · 340 citations

    9

    h-index

  5. CG
    Christophe Guyeux

    Centre National de la Recherche Scientifique, France

    9 publications · 297 citations

    9

    h-index

1–5 of 2.4K

Venues

  1. Nonlinear Dynamics

    20 publications · 1.4K citations

    18

    h-index

  2. Mathematics of Computation

    MCOM · 31 publications · 1.3K citations

    17

    h-index

  3. IEEE Access

    24 publications · 1K citations

    17

    h-index

  4. IEEE Transactions on Information Theory

    17 publications · 1.6K citations

    17

    h-index

  5. ACM Transactions on Modeling and Computer Simulation

    TOMACS · 18 publications · 6.5K citations

    15

    h-index

1–5