State Machine Models

State Machine Models is a formal computational model used in software modeling and model-based design that represents system behavior as a finite set of states, transitions between those states, and actions triggered by events, distinguished by its emphasis on capturing discrete state changes and event-driven dynamics in reactive systems.

916

Publications

41.4K

Citations

2.6K

Authors

813

Institutions

Publications per year

2017–2026

185

Authors

2.6K

  1. YG
    Yuri Gurevich

    University of Michigan, United States

    10 publications · 365 citations

    10

    h-index

  2. ER
    Elvinia Riccobene

    University of Milan, Italy

    7 publications · 242 citations

    7

    h-index

  3. RK
    Ratnesh Kumar

    Iowa State University, United States

    7 publications · 192 citations

    7

    h-index

  4. UG
    Uwe Glässer

    Simon Fraser University, Canada

    6 publications · 164 citations

    6

    h-index

  5. NW
    Neil Walkinshaw

    University of Sheffield, United Kingdom

    6 publications · 375 citations

    6

    h-index

1–5 of 2.6K

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 15 publications · 1.8K citations

    12

    h-index

  2. IEEE Transactions on Computers

    8 publications · 195 citations

    8

    h-index

  3. IEEE Access

    7 publications · 183 citations

    8

    h-index

  4. Theoretical Computer Science

    7 publications · 827 citations

    7

    h-index

  5. 7

    h-index

1–5