Hybrid Model Checking

Hybrid Model Checking is a formal verification method that combines discrete and continuous system representations to analyze hybrid systems by extending traditional model checking with the capability to handle both discrete state transitions and continuous dynamics.

96

Publications

5.3K

Citations

245

Authors

138

Institutions

Publications per year

2017–2026

9

Authors

245

  1. TA
    Thomas A. Henzinger

    University of California, Berkeley, United States

    5 publications · 1.1K citations

    5

    h-index

  2. ST
    Stefano Tonetta

    Fondazione Bruno Kessler, Italy

    4 publications · 91 citations

    4

    h-index

  3. AP
    Andreas Podelski

    University of Freiburg, Germany

    4 publications · 145 citations

    4

    h-index

  4. SB
    Sergiy Bogomolov

    University of Freiburg, Germany

    4 publications · 151 citations

    4

    h-index

  5. LB
    Lei Bu

    Nanjing University, China

    4 publications · 138 citations

    4

    h-index

1–5 of 245

Venues

  1. 10

    h-index

  2. Electronic Notes in Theoretical Computer Science

    ENTCS · 4 publications · 87 citations

    4

    h-index

  3. Information and Computation

    3 publications · 111 citations

    3

    h-index

  4. Formal Methods in System Design

    3 publications · 155 citations

    3

    h-index

  5. 3

    h-index

1–5