State Space Reconstruction
State Space Reconstruction is a mathematical framework used in time-varying compartment models that, by embedding observed time series data into a higher-dimensional space, reconstructs the underlying system dynamics to infer the full state space from incomplete or indirect measurements.
192
Publications
11.8K
Citations
496
Authors
289
Institutions
Publications per year
2017–2026
47
192
State space reconstruction in the presence of noise
Martin Casdagli, Stephen Eubank, J. Doyne Farmer et al. · Physica D Nonlinear Phenomena · 1991 · 570 citations
Generalized Theorems for Nonlinear State Space Reconstruction
Ethan R. Deyle, George Sugihara · PLoS ONE · 2011 · 405 citations · Full text
1–5 of 192
496
7
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Max Planck Institute for the Physics of Complex Systems, Germany
3 publications · 638 citations
3
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3
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3
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3
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1–5 of 496
289
University of California San Diego
San Diego, United States
10 h-index
22 publications
2.1K citations

Scripps Institution of Oceanography
La Jolla, United States
5 h-index
12 publications
1.8K citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
5 h-index
10 publications
662 citations

Santa Fe Institute
Santa Fe, United States
4 h-index
6 publications
1.6K citations
University of Potsdam
Potsdam, Germany
4 h-index
9 publications
264 citations
Universität Ulm
Ulm, Germany
4 h-index
7 publications
115 citations
Humboldt-Universität zu Berlin
Berlin, Germany
4 h-index
4 publications
142 citations

Potsdam Institute for Climate Impact Research
Potsdam, Germany
4 h-index
10 publications
359 citations
1–8 of 289
PRL · 11 publications · 1.2K citations
11
h-index
7 publications · 580 citations
7
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PRA · 7 publications · 297 citations
7
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PRE · 7 publications · 408 citations
7
h-index
5 publications · 1.2K citations
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