Complexity Measures
Complexity Measures is a quantitative framework within chaos theory that characterizes the degree of structural intricacy and dynamical unpredictability in nonlinear systems by distinguishing them from simpler deterministic or stochastic processes.
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2.9K
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Publications per year
2017–2026
348
Parents
1.2K
Loss of 'Complexity' and Aging
Lewis A. Lipsitz · JAMA · 1992 · 1.2K citations
The complexity of relational query languages (Extended Abstract)
Moshe Y. Vardi · 1982 · 1.2K citations
Computing, Computer Science, Algebra +16
Inferring statistical complexity
James P. Crutchfield, Karl Young · Physical Review Letters · 1989 · 1K citations
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Universidad de Granada
Granada, Spain
18 h-index
47 publications
2.3K citations

Santa Fe Institute
Santa Fe, United States
16 h-index
27 publications
2.9K citations
Harvard University
Cambridge, United States
16 h-index
51 publications
3.2K citations
Massachusetts Institute of Technology
Cambridge, United States
15 h-index
40 publications
2.1K citations
University of Potsdam
Potsdam, Germany
14 h-index
31 publications
5.6K citations
Universidad de Buenos Aires
Buenos Aires, Argentina
14 h-index
18 publications
1.9K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
30 publications
1.5K citations
University of California, Berkeley
Berkeley, United States
13 h-index
20 publications
5K citations
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25 publications · 1.3K citations
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Repository · 32 publications · 1.3K citations
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31 publications · 1.1K citations
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23 publications · 1.2K citations
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17 publications · 1.1K citations
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