Reliability Modeling

Reliability Modeling is a quantitative modeling approach within stochastic and systems modeling that uses probabilistic and statistical representations of failure mechanisms, component interactions, and operating conditions to predict, assess, and optimize the ability of a system or component to perform its intended functions over time.

22.3K

Publications

1.1M

Citations

34.8K

Authors

5.6K

Institutions

Publications per year

2017–2026

6.3K

Authors

34.8K

  1. RB
    R. Billinton

    University of Saskatchewan, Canada

    221 publications · 17.8K citations

    61

    h-index

  2. EZ
    Enrico Zio

    Politecnico di Milano, Italy

    139 publications · 9.5K citations

    57

    h-index

  3. KS
    Kishor S. Trivedi

    Duke University, United States

    143 publications · 12.7K citations

    56

    h-index

  4. LX
    Liudong Xing

    University of Massachusetts Dartmouth, United States

    117 publications · 5.6K citations

    46

    h-index

  5. CS
    Chanan Singh

    Texas A&M University, United States

    123 publications · 8.5K citations

    43

    h-index

1–5 of 34.8K

Venues

  1. Reliability Engineering & System Safety

    1.5K publications · 86.9K citations

    127

    h-index

  2. IEEE Transactions on Reliability

    1.5K publications · 82.3K citations

    126

    h-index

  3. IEEE Transactions on Power Systems

    405 publications · 32.4K citations

    89

    h-index

  4. Technometrics

    299 publications · 37.4K citations

    88

    h-index

  5. Structural Safety

    278 publications · 26.1K citations

    85

    h-index

1–5