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

Authors

730

  1. DB
    David Blaauw

    University of Michigan, United States

    19 publications · 2.1K citations

    16

    h-index

  2. KC
    Kwang‐Ting Cheng

    University of California, Santa Barbara, United States

    19 publications · 942 citations

    15

    h-index

  3. LW
    Li-C. Wang

    University of California, Santa Barbara, United States

    18 publications · 719 citations

    14

    h-index

  4. SV
    Sarma Vrudhula

    Arizona State University, United States

    11 publications · 426 citations

    11

    h-index

  5. VZ
    Vladimir Zolotov

    Motorola (United States), United States

    11 publications · 1.1K citations

    11

    h-index

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