Randomness Extractors
A Randomness Extractor is a deterministic algorithm that belongs to the class of computational procedures designed to distill nearly uniform random bits from weak sources of randomness, distinguished by its ability to achieve this extraction with minimal reliance on external randomness or additional assumptions about the source distribution.
91
Publications
5.9K
Citations
142
Authors
81
Institutions
Publications per year
2017–2026
9
91
IC identification circuit using device mismatch
K. Lofstrom, W.R. Daasch, D. Taylor · 2002 · 287 citations
Engineering, Computer Engineering, Electrical Engineering +17
Postprocessing for quantum random-number generators: Entropy evaluation and randomness extraction
Xiongfeng Ma, Feihu Xu, He Xu et al. · Physical Review A · 2013 · 239 citations · Full text
Computing, Computer Science, Physics +13
Randomness conductors and constant-degree lossless expanders
Michael Capalbo, Omer Reingold, Salil Vadhan et al. · 2002 · 222 citations
1–5 of 91
142
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11
h-index
9
h-index
9
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6
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1–5 of 142
81
The University of Texas at Austin
Austin, United States
14 h-index
22 publications
1.6K citations

Institute for Advanced Study
Princeton, United States
14 h-index
25 publications
1.8K citations
Hebrew University of Jerusalem
Jerusalem, Israel
8 h-index
10 publications
803 citations

Harvard University Press
Cambridge, United States
8 h-index
8 publications
937 citations
Microsoft (United States)
Redmond, United States
6 h-index
7 publications
397 citations
California Institute of Technology
Pasadena, United States
6 h-index
7 publications
645 citations
ETH Zurich
Zurich, Switzerland
5 h-index
9 publications
149 citations
University of Haifa
Haifa, Israel
5 h-index
5 publications
339 citations
1–8 of 81
6 publications · 501 citations
6
h-index
5 publications · 161 citations
5
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Repository · 5 publications · 106 citations
5
h-index
JACM · 3 publications · 499 citations
3
h-index
PRA · 3 publications · 305 citations
3
h-index
1–5