Seed Generation

Seed Generation is a procedural foundation within random number generation that designates the initialization mechanism by which a deterministic starting point, or seed, is selected to govern the sequence and statistical properties of pseudorandom numbers produced by a generator.

105

Publications

3.4K

Citations

391

Authors

164

Institutions

Publications per year

2017–2026

33

Authors

391

  1. MW
    Mingzhe Wang

    Tsinghua University, China

    2 publications · 118 citations

    2

    h-index

  2. AN
    Arif Nirsatmanto

    Universitas Gadjah Mada, Indonesia

    2 publications · 32 citations

    2

    h-index

  3. XG
    Xuejun Gu

    The University of Texas Southwestern Medical Center, United States

    2 publications · 35 citations

    2

    h-index

  4. YJ
    Yu Jiang

    Tsinghua University, China

    2 publications · 118 citations

    2

    h-index

  5. LC
    Laura Cerviño

    University of California San Diego, United States

    2 publications · 35 citations

    2

    h-index

1–5 of 391

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 100 citations

    3

    h-index

  2. Crop Science

    2 publications · 24 citations

    2

    h-index

  3. Crystal Growth & Design

    2 publications · 123 citations

    2

    h-index

  4. Industrial & Engineering Chemistry Research

    2 publications · 73 citations

    2

    h-index

  5. The Astrophysical Journal

    ApJ · 2 publications · 68 citations

    2

    h-index

1–5