Model Execution Engines

Model Execution Engines is a computational infrastructure that serves as a runtime environment for interpreting and executing executable system models by translating high-level model constructs into actionable behaviors while enforcing semantic consistency, distinguished by its ability to support model-driven engineering workflows through automated simulation, analysis, and code generation.

210

Publications

9.4K

Citations

716

Authors

281

Institutions

Publications per year

2017–2026

53

Authors

716

  1. GK
    Gábor Karsai

    Vanderbilt University, United States

    7 publications · 201 citations

    7

    h-index

  2. JS
    János Sztipanovits

    Vanderbilt University, United States

    5 publications · 156 citations

    5

    h-index

  3. MW
    Manuel Wimmer

    TU Wien, Austria

    4 publications · 62 citations

    4

    h-index

  4. JD
    Juan de Lara

    Universidad Autónoma de Madrid, Spain

    3 publications · 152 citations

    3

    h-index

  5. JM
    Justin M. Wozniak

    Argonne National Laboratory, United States

    3 publications · 157 citations

    3

    h-index

1–5 of 716

Venues

  1. Journal of Systems and Software

    JSS · 6 publications · 207 citations

    6

    h-index

  2. Software & Systems Modeling

    SoSyM · 5 publications · 263 citations

    5

    h-index

  3. Science of Computer Programming

    4 publications · 69 citations

    4

    h-index

  4. SIMULATION

    4 publications · 116 citations

    4

    h-index

  5. Information and Software Technology

    3 publications · 76 citations

    3

    h-index

1–5