Boolean Circuit Complexity
Boolean Circuit Complexity is a quantitative measure in computational complexity theory that characterizes the minimum size or depth of a Boolean circuit, composed of logical gates and operating over binary inputs, required to compute a given Boolean function, thereby distinguishing it from other models of computation by its non-uniform and combinatorial circuit-based structure.
341
Publications
16.3K
Citations
520
Authors
308
Institutions
Publications per year
2017–2026
45
341
Separating the polynomial-time hierarchy by oracles
Andrew Chi-Chih Yao · 1985 · 554 citations
Shafi Goldwasser, Yael Tauman Kalai, Guy N. Rothblum · 2008 · 477 citations
1–5 of 341
520
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308
Stanford University
Stanford, United States
14 h-index
22 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
29 publications
916 citations
University of California San Diego
San Diego, United States
11 h-index
25 publications
845 citations
Princeton University
Princeton, United States
10 h-index
13 publications
1.1K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
9 publications
883 citations

University of Toronto
Toronto, Canada
9 h-index
18 publications
1.1K citations
Steklov Mathematical Institute
Moscow, Russia
8 h-index
8 publications
729 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
8 h-index
10 publications
290 citations
1–8 of 308
24 publications · 1.3K citations
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20 publications · 1.8K citations
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14 publications · 580 citations
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JACM · 12 publications · 512 citations
11
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Repository · 9 publications · 155 citations
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