Model Abstraction

Model Abstraction is a formal method that identifies and simplifies essential structural and behavioral elements of a system model while omitting context-specific or non-essential details to facilitate analysis, simulation, or design within Model-Based Design.

461

Publications

16.1K

Citations

1.2K

Authors

480

Institutions

Publications per year

2017–2026

74

Authors

1.2K

  1. HV
    Hans Vangheluwe

    University of Antwerp, Belgium

    6 publications · 298 citations

    6

    h-index

  2. SS
    Sergey Smirnov

    Novosibirsk State University, Russia

    5 publications · 254 citations

    5

    h-index

  3. MC
    Marsha Chećhik

    University of Toronto, Canada

    4 publications · 198 citations

    4

    h-index

  4. BK
    Benjamin Kuipers

    The University of Texas at Austin, United States

    4 publications · 55 citations

    4

    h-index

  5. TL
    Tosiyasu L. Kunii

    The University of Tokyo, Japan

    3 publications · 41 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 146 citations

    8

    h-index

  2. SIMULATION

    6 publications · 306 citations

    6

    h-index

  3. Software & Systems Modeling

    SoSyM · 5 publications · 144 citations

    5

    h-index

  4. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 5 publications · 93 citations

    5

    h-index

  5. IEEE Transactions on Automatic Control

    5 publications · 222 citations

    5

    h-index

1–5