Scinovex
articleTop 1% cited

Characterization of Strange Attractors

Physical Review Letters · 1983 · Vol. 50(5) · pp. 346–349
Peter GrassbergerItamar Procaccia

Abstract

A new measure of strange attractors is introduced which offers a practical algorithm to determine their character from the time series of a single observable. The relation of this new measure to fractal dimension and information-theoretic entropy is discussed.

Complex Systems and Time Series AnalysisStatistical Mechanics and EntropyChaos control and synchronizationAttractorObservableMeasure (data warehouse)Statistical physicsFractalFractal dimensionCharacter (mathematics)Series (stratigraphy)Entropy (arrow of time)Correlation dimension
Citations
4,787
FWCI
269.71
field-weighted impact
References
15
Percentile
100%
vs. same field & year
Citations per year
Cited by
Recurrence plots for the analysis of complex systems
Physics Reports · 2007 · 3,677 citations
On the multifractal nature of fully developed turbulence and chaotic systems
Journal of Physics A Mathematical and General · 1984 · 765 citations
Some simple chaotic flows
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 1994 · 1,255 citations
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2001 · 2,918 citations
Estimation of the Kolmogorov entropy from a chaotic signal
Physical review. A, General physics · 1983 · 1,435 citations
References
Geometry from a Time Series
Physical Review Letters · 1980 · 3,850 citations
Diffusion-Limited Aggregation, a Kinetic Critical Phenomenon
Physical Review Letters · 1981 · 5,317 citations
A two-dimensional mapping with a strange attractor
Communications in Mathematical Physics · 1976 · 2,935 citations
Deterministic Nonperiodic Flow
Journal of the Atmospheric Sciences · 1963 · 19,069 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.