Model-based Systems Engineering

Model-Based Systems Engineering is a systems engineering methodology that uses formalized system models as primary artifacts to support and integrate requirements definition, design, analysis, verification, and validation throughout a system's lifecycle.

15.4K

Publications

730.4K

Citations

29.4K

Authors

4.4K

Institutions

Publications per year

2017–2026

2.7K

Authors

29.4K

  1. MW
    Manuel Wimmer

    TU Wien, Austria

    65 publications · 2.6K citations

    30

    h-index

  2. RG
    Robert G. Sargent

    Syracuse University, United States

    40 publications · 5.6K citations

    29

    h-index

  3. LB
    Lionel Briand

    University of Luxembourg, Luxembourg

    33 publications · 2K citations

    25

    h-index

  4. WM
    Wil M. P. van der Aalst

    Eindhoven University of Technology, Netherlands

    42 publications · 6.7K citations

    25

    h-index

  5. MO
    Martin Otter

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    33 publications · 3.5K citations

    22

    h-index

1–5 of 29.4K

Venues

  1. IEEE Transactions on Automatic Control

    373 publications · 37.4K citations

    91

    h-index

  2. Automatica

    174 publications · 17.9K citations

    60

    h-index

  3. Software & Systems Modeling

    SoSyM · 193 publications · 9.5K citations

    55

    h-index

  4. IEEE Transactions on Power Systems

    130 publications · 9.4K citations

    55

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 94 publications · 8.9K citations

    50

    h-index

1–5

See also

Model-based Systems Engineering

Core Methods

Modeling Languages

Tool Ecosystems

Adoption Challenges