Phase Space Analysis
Phase Space Analysis is a mathematical framework used in nonlinear dynamics to visualize and analyze the complete set of trajectories of a dynamical system by representing each possible state as a point in a geometric space, distinguished by its capacity to reveal qualitative behavior such as equilibria, limit cycles, and chaotic attractors through the system's evolution over time.
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989
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2017–2026
210
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855
Norman H. Packard, James P. Crutchfield, J. Doyne Farmer et al. · Physical Review Letters · 1980 · 3.9K citations
The analysis of observed chaotic data in physical systems
Henry D. I. Abarbanel, Reggie Brown, John J. Sidorowich et al. · Reviews of Modern Physics · 1993 · 1.9K citations
<i>Chaos: An Introduction to Dynamical Systems</i>
Kathleen T. Alligood, Timothy Sauer, James A. Yorke et al. · Physics Today · 1997 · 1.5K citations
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Centre National de la Recherche Scientifique
Paris, France
21 h-index
121 publications
9.4K citations

University of Bristol
Bristol, United Kingdom
13 h-index
48 publications
3.3K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
12 h-index
28 publications
3.1K citations

European Organization for Nuclear Research
Geneva, Switzerland
11 h-index
127 publications
9.1K citations
SLAC National Accelerator Laboratory
Menlo Park, United States
11 h-index
39 publications
3.2K citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
62 publications
4.5K citations
University of California, Berkeley
Berkeley, United States
10 h-index
19 publications
1.7K citations
University of Vienna
Vienna, Austria
10 h-index
21 publications
1.1K citations
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PRL · 38 publications · 7.2K citations
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33 publications · 1.9K citations
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29 publications · 1.2K citations
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PRA · 24 publications · 1.2K citations
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PRD · 20 publications · 866 citations
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