Semi-markov Reliability Models

Semi-Markov Reliability Models is a stochastic reliability modeling framework that extends Markovian reliability models by incorporating general sojourn time distributions, thereby allowing state transition times to follow arbitrary probability distributions while maintaining the Markov property only at transition epochs.

197

Publications

6.9K

Citations

295

Authors

172

Institutions

Publications per year

2017–2026

30

Authors

295

  1. NL
    Nikolaos Limnios

    Université de Technologie de Compiègne, France

    13 publications · 851 citations

    13

    h-index

  2. KS
    Kishor S. Trivedi

    Duke University, United States

    9 publications · 748 citations

    9

    h-index

  3. AC
    Attila Csenki

    Aston University, United Kingdom

    8 publications · 166 citations

    8

    h-index

  4. SC
    S. C. Malik

    Maharshi Dayanand University, India

    7 publications · 95 citations

    7

    h-index

  5. GD
    Guglielmo D’Amico

    University of Chieti-Pescara, Italy

    7 publications · 179 citations

    7

    h-index

1–5 of 295

Venues

  1. Reliability Engineering & System Safety

    20 publications · 563 citations

    16

    h-index

  2. IEEE Transactions on Reliability

    15 publications · 1.2K citations

    13

    h-index

  3. NASA STI Repository (National Aeronautics and Space Administration)

    Repository · 5 publications · 101 citations

    5

    h-index

  4. 5

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  5. 5

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1–5