Probabilistic Model Checking

Probabilistic Model Checking is a formal verification technique that belongs to the class of model checking methods, distinguished by its focus on analyzing systems exhibiting probabilistic behavior through the quantitative evaluation of temporal logic properties over stochastic models.

519

Publications

22.5K

Citations

977

Authors

420

Institutions

Publications per year

2017–2026

105

Authors

977

  1. MK
    Marta Kwiatkowska

    University of Oxford, United Kingdom

    42 publications · 3.7K citations

    32

    h-index

  2. DP
    David Parker

    University of Birmingham, United Kingdom

    35 publications · 2.7K citations

    27

    h-index

  3. GN
    Gethin Norman

    University of Birmingham, United Kingdom

    32 publications · 2.9K citations

    25

    h-index

  4. CB
    Christel Baier

    Technische Universität Dresden, Germany

    21 publications · 1.8K citations

    18

    h-index

  5. JK
    Joost-Pieter Katoen

    RWTH Aachen University, Germany

    24 publications · 1.9K citations

    18

    h-index

1–5 of 977

Venues

  1. 14

    h-index

  2. Theoretical Computer Science

    13 publications · 1K citations

    13

    h-index

  3. Electronic Notes in Theoretical Computer Science

    ENTCS · 17 publications · 474 citations

    12

    h-index

  4. 9

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 8 publications · 1.1K citations

    8

    h-index

1–5