Cellular Automata Classification

Cellular Automata Classification is a systematic framework that categorizes cellular automata based on their dynamical behavior, structural properties, or computational capabilities, distinguishing it from other taxonomic approaches by its focus on identifying universal patterns of evolution and complexity in discrete spatial systems.

313

Publications

13.5K

Citations

728

Authors

377

Institutions

Publications per year

2017–2026

70

Authors

728

  1. GJ
    Genaro J. Martínez

    University of the West of England, United Kingdom

    8 publications · 230 citations

    8

    h-index

  2. AA
    Andrew Adamatzky

    University of the West of England, United Kingdom

    8 publications · 180 citations

    8

    h-index

  3. SW
    Sartra Wongthanavasu

    Khon Kaen University, Thailand

    4 publications · 90 citations

    4

    h-index

  4. BK
    Biplab K. Sikdar

    Indian Institute of Engineering Science and Technology, Shibpur, India

    4 publications · 179 citations

    4

    h-index

  5. EF
    Enrico Formenti

    Université Côte d'Azur, France

    4 publications · 155 citations

    4

    h-index

1–5 of 728

Venues

  1. Physica D Nonlinear Phenomena

    11 publications · 1.3K citations

    11

    h-index

  2. International Journal of Bifurcation and Chaos

    IJBC · 12 publications · 332 citations

    11

    h-index

  3. Theoretical Computer Science

    7 publications · 247 citations

    7

    h-index

  4. Information Sciences

    6 publications · 160 citations

    6

    h-index

  5. Complex Systems

    6 publications · 188 citations

    6

    h-index

1–5