Finite State Machine Modeling

Finite State Machine Modeling is a formal method within the domain of Hardware Description Languages that specifies digital system behavior by defining a finite set of states, transitions between them, and associated outputs, distinguishing it from other behavioral modeling techniques through its emphasis on explicit state-based control logic representation.

4K

Publications

194.3K

Citations

6.4K

Authors

1.6K

Institutions

Publications per year

2017–2026

399

Authors

6.4K

  1. AS
    Alberto Sangiovanni‐Vincentelli

    University of California, Berkeley, United States

    23 publications · 2.1K citations

    19

    h-index

  2. ZL
    Zhiwu Li

    Xidian University, China

    25 publications · 942 citations

    19

    h-index

  3. GD
    Gary D. Hachtel

    University of Colorado Boulder, United States

    22 publications · 1.2K citations

    19

    h-index

  4. FS
    Fabio Somenzi

    University of Colorado Boulder, United States

    21 publications · 1.3K citations

    19

    h-index

  5. RM
    Robert M. Hierons

    Brunel University of London, United Kingdom

    24 publications · 765 citations

    18

    h-index

1–5 of 6.4K

Venues

  1. IEEE Transactions on Automatic Control

    91 publications · 6.5K citations

    43

    h-index

  2. Theoretical Computer Science

    102 publications · 6.1K citations

    36

    h-index

  3. 36

    h-index

  4. IEEE Transactions on Computers

    68 publications · 3.6K citations

    32

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 50 publications · 7.2K citations

    31

    h-index

1–5