Statistical Delay Modeling
Statistical Delay Modeling is a probabilistic framework within delay modeling that characterizes timing variations through statistical distributions rather than deterministic values, enabling the quantification of uncertainty in system performance.
332
Publications
18.3K
Citations
730
Authors
258
Institutions
Publications per year
2017–2026
34
Parents
332
First-order incremental block-based statistical timing analysis
C. Visweswariah, Kaushik Ravindran, Kerim Kalafala et al. · 2004 · 661 citations
1–5 of 332
730
16
h-index
University of California, Santa Barbara, United States
19 publications · 942 citations
15
h-index
14
h-index
11
h-index
11
h-index
1–5 of 730
258
University of Michigan
Ann Arbor, United States
20 h-index
53 publications
4.4K citations
University of California, Santa Barbara
Santa Barbara, United States
16 h-index
67 publications
3.1K citations
IBM (United States)
Armonk, United States
14 h-index
30 publications
3.9K citations
Motorola (United States)
Schaumburg, United States
13 h-index
28 publications
2.7K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
12 h-index
20 publications
2.9K citations
Texas A&M University
College Station, United States
10 h-index
25 publications
692 citations

Kyoto University
Kyoto, Japan
10 h-index
30 publications
731 citations
Princeton University
Princeton, United States
10 h-index
11 publications
386 citations
1–8 of 258
17 publications · 1.3K citations
15
h-index
9 publications · 362 citations
9
h-index
5 publications · 195 citations
8
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7 publications · 136 citations
8
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ICCAD · 8 publications · 277 citations
8
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1–5