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
Parents
313
1–5 of 313
728
8
h-index
8
h-index
4
h-index
Indian Institute of Engineering Science and Technology, Shibpur, India
4 publications · 179 citations
4
h-index
4
h-index
1–5 of 728
377
University of the West of England
Bristol, United Kingdom
8 h-index
12 publications
266 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
18 publications
444 citations

Democritus University of Thrace
Komotini, Greece
6 h-index
18 publications
638 citations
University of California, Berkeley
Berkeley, United States
6 h-index
15 publications
537 citations
Indian Institute of Engineering Science and Technology, Shibpur
Howrah, India
5 h-index
13 publications
686 citations
University of Sheffield
Sheffield, United Kingdom
4 h-index
6 publications
131 citations
University of Illinois Chicago
Chicago, United States
4 h-index
4 publications
250 citations
Laboratoire de l'Informatique du Parallélisme
Lyon, France
4 h-index
7 publications
226 citations
1–8 of 377
11 publications · 1.3K citations
11
h-index
IJBC · 12 publications · 332 citations
11
h-index
7 publications · 247 citations
7
h-index
6 publications · 160 citations
6
h-index
6 publications · 188 citations
6
h-index
1–5