Determining Lyapunov exponents from a time series
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
LE is a tool used to visualize the separation of trajectories from two initial values with minimal error over time.
“When two initial values with minimal error are applied to the same chaotic system, the trajectories they generate will be separated exponentially over time.LE is a tool used to visualize this phenomenon [21].”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [21]
Cites
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459 · cited 4× · see citing works
“We should obtain an embedding if m is chosen to be greater than twice the dimension of the underlying attractor [34].”
BackgroundMethodInfluential
Flagged first, then by citations
Cited by
Sorted by citations
Heart rate variability: A review
Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-006-0119-0 · Cited by 2,820 · see citing works
COPASI—a COmplex PAthway SImulator
Hoops, S., Sahle, S., Gauges, R., Lee, C., Pahle, J., Simus, N., Singhal, M., Xu, L., Mendes, P., & Kummer, U. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl485 · Cited by 2,618 · see citing works
Dynamic models of large-scale brain activity
Breakspear, M. (2017) · Nature Neuroscience · doi:10.1038/nn.4497 · Cited by 1,239 · see citing works
Heart Rate Variability ? A Historical Perspective
Billman, G. E. (2011) · Frontiers in Physiology · doi:10.3389/fphys.2011.00086 · Cited by 786 · see citing works
Memristor-Based Chaotic Circuits
Muthuswamy, B., & Kokate, P. (2009) · IETE Technical Review · doi:10.4103/0256-4602.57827 · Cited by 345 · see citing works
Chaos-Based Image Encryption: Review, Application, and Challenges
Zhang, B., & Liu, L. (2023) · Mathematics · doi:10.3390/math11112585 · Cited by 328 · see citing works
“LE is a tool used to visualize this phenomenon [21].”
MethodDynamical structure of center-of-pressure trajectories in patients recovering from stroke
Roerdink, M., De Haart, M., Daffertshofer, A., Donker, S. F., Geurts, A. C. H., & Beek, P. J. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0441-7 · Cited by 302 · see citing works
An ensemble system for automatic sleep stage classification using single channel EEG signal
Koley, B., & Dey, D. (2012) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2012.09.012 · Cited by 291 · see citing works
Dynamical analysis of a simple autonomous jerk system with multiple attractors
Kengne, J., Njitacke, Z. T., & Fotsin, H. B. (2016) · Nonlinear Dynamics · doi:10.1007/s11071-015-2364-y · Cited by 249 · see citing works
Sine-transform-based chaotic system with FPGA implementation
Hua, Z., Zhou, B., & Zhou, Y. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2736515 · Cited by 180 · see citing works
Handoh, I. C., & Lenton, T. M. (2003) · Global Biogeochemical Cycles · doi:10.1029/2003gb002039 · Cited by 141 · see citing works
Pathological tremors: deterministic chaos or nonlinear stochastic oscillators?
Timmer, J., Häussler, S., Lauk, M., & Lücking, C.-H. (2000) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.166494 · Cited by 130 · see citing works
The evolution of complexity in human brain development: an EEG study
Meyer-Lindenberg, A. (1996) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(96)95699-0 · Cited by 125 · see citing works
S-Box Based Image Encryption Application Using a Chaotic System without Equilibrium
Wang, X., Çavuşoğlu, Ü., Kacar, S., Akgul, A., Pham, V.-T., Jafari, S., Alsaadi, F. E., & Nguyen, X. Q. (2019) · Applied Sciences · doi:10.3390/app9040781 · Cited by 125 · see citing works
A new hyperchaotic map and its application in an image encryption scheme
Boriga, R., Dăscălescu, A. C., & Priescu, I. (2014) · Signal Processing: Image Communication · doi:10.1016/j.image.2014.04.001 · Cited by 101 · see citing works
Coupling of respiration and attention via the locus coeruleus: effects of meditation and pranayama.
Melnychuk, M. C., Dockree, P. M., O'Connell, R. G., Murphy, P. R., Balsters, J. H., & Robertson, I. H. (2018) · Psychophysiology · doi:10.1111/psyp.13091 · Cited by 101 · see citing works
Chaotic dispersal of tidal debris
Price-Whelan, A. M., Johnston, K. V., Valluri, M., Pearson, S., Küpper, A. H. W., & Hogg, D. W. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv2383 · Cited by 80 · see citing works
A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing
Li, T., Yang, M., Wu, J., & Jing, X. (2017) · Complexity · doi:10.1155/2017/9010251 · Cited by 55 · see citing works
Kelwade, J. P., & Salankar, S. S. (2016) · 2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) · doi:10.1109/cmi.2016.7413789 · Cited by 36 · see citing works
- Authors
- Wolf, A., Swift, J. B., Swinney, H. L., & Vastano, J. A.
- Affiliations
- The University of Texas at Austin (US)
- ORCID
- Swinney, Harry L.
- Venue
- Physica D: Nonlinear Phenomena
- Publisher
- Elsevier BV
- Published
- 1985-07
- Volume
- 16
- Issue
- 3
- Pages
- 285-317
- ISSN
- 0167-2789 (ISSN-L)
- OpenAlex
- W2152254020
- Cited by
- 9,499
- References
- 1
- Citations by year
- 2026: 418 · 2025: 416 · 2024: 420 · 2023: 412 · 2022: 483 · 2021: 472 · 2020: 448 · 2019: 430 · 2018: 441 · 2017: 365 · 2016: 316 · 2015: 303 · 2014: 302 · 2013: 289 · 2012: 252
- FWCI
- 29.49
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- Physica D Nonlinear Phenomena (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Physical Sciences › Mathematics › Mathematical Physics › Mathematical Dynamics and Fractals
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
- Keywords
- Lyapunov exponents, time series analysis, chaos, nonlinear dynamics, data-driven estimation
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review