The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
Nonlinear Time-Series Analysis
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Citations
Cites
Synchronization in chaotic systems
Pecora, L. M., & Carroll, T. L. (1990) · Physical Review Letters · doi:10.1103/physrevlett.64.821 · Cited by 10,625
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459
Determining Lyapunov exponents from a time series
Wolf, A., Swift, J. B., Swinney, H. L., & Vastano, J. A. (1985) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(85)90011-9 · Cited by 9,499
Ergodic theory of chaos and strange attractors
Eckmann, J. P., & Ruelle, D. (1985) · Reviews of Modern Physics · doi:10.1103/revmodphys.57.617 · Cited by 4,941
Characterization of Strange Attractors
Grassberger, P., & Procaccia, I. (1983) · Physical Review Letters · doi:10.1103/physrevlett.50.346 · Cited by 4,857
Independent coordinates for strange attractors from mutual information
Fraser, A. M., & Swinney, H. L. (1986) · Physical Review A · doi:10.1103/physreva.33.1134 · Cited by 4,606
Packard, N. H., Crutchfield, J. P., Farmer, J. D., & Shaw, R. S. (1980) · Physical Review Letters · doi:10.1103/physrevlett.45.712 · Cited by 3,869
Determining embedding dimension for phase-space reconstruction using a geometrical construction
Kennel, M. B., Brown, R., & Abarbanel, H. D. I. (1992) · Physical Review A · doi:10.1103/physreva.45.3403 · Cited by 3,776
Testing for nonlinearity in time series: the method of surrogate data
Theiler, J., Eubank, S., Longtin, A., Galdrikian, B., & Doyne Farmer, J. (1992) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(92)90102-s · Cited by 3,732
A practical method for calculating largest Lyapunov exponents from small data sets
Rosenstein, M. T., Collins, J. J., & De Luca, C. J. (1993) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(93)90009-p · Cited by 3,486
Cited by
Recurrence networks—a novel paradigm for nonlinear time series analysis
Donner, R. V., Zou, Y., Donges, J. F., Marwan, N., & Kurths, J. (2010) · New Journal of Physics · doi:10.1088/1367-2630/12/3/033025 · Cited by 619
Hosseinifard, B., Moradi, M. H., & Rostami, R. (2013) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2012.10.008 · Cited by 558
Machine learning algorithms for damage detection under operational and environmental variability
Figueiredo, E., Park, G., Farrar, C. R., Worden, K., & Figueiras, J. (2011) · Structural Health Monitoring · doi:10.1177/1475921710388971 · Cited by 440
JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems
Lizier, J. T. (2014) · Frontiers in Robotics and AI · doi:10.3389/frobt.2014.00011 · Cited by 390
Boker, S. M., Rotondo, J. L., Xu, M., & King, K. (2002) · Psychological Methods · doi:10.1037//1082-989x.7.3.338 · Cited by 360
Metadata
- Authors
- Parlitz, U.
- Venue
- Nonlinear Modeling
- Publisher
- Springer US
- Published
- 1998
- Pages
- 209-239
- OpenAlex
- W1532679390
- Cited by
- 322
- References
- 104
- FWCI
- 34.60
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Nonlinear Time-Series Analysis. https://app.cochat.ai/papers/10.1007/978-1-4615-5703-6_8
- The paper
- Parlitz, U. (1998). Nonlinear Time-Series Analysis. Nonlinear Modeling. https://doi.org/10.1007/978-1-4615-5703-6_8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
