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
Parents
105
1–5 of 105
391
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The University of Texas Southwestern Medical Center, United States
2 publications · 35 citations
2
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2
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2
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1–5 of 391
164
University of California San Diego
San Diego, United States
3 h-index
5 publications
104 citations
Tsinghua University
Beijing, China
3 h-index
12 publications
731 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
200 citations

TU Wien
Vienna, Austria
2 h-index
3 publications
63 citations

Moscow Institute of Physics and Technology
Dolgoprudnyy, Russia
2 h-index
3 publications
88 citations
KU Leuven
Leuven, Belgium
2 h-index
7 publications
215 citations
Eli Lilly (United States)
Indianapolis, United States
2 h-index
2 publications
60 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
4 publications
110 citations
1–8 of 164
Repository · 3 publications · 100 citations
3
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2 publications · 24 citations
2
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2 publications · 123 citations
2
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2 publications · 73 citations
2
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ApJ · 2 publications · 68 citations
2
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