Zelvys,T. et al. 2025, Quantitative correlation of Lower Silurian... Bulletin of Geosciences, 100, 607-615. Website of the journal Bulletin of Geosciences, published since 1925 by the Czech Geological Survey

"Quantitative correlation of Lower Silurian carbonate facies in Lithuania: insights from carbon isotopes and cross #recurrence_plots"
Ireviken and Mulde excursions showed spatial-temporal coherence across Lithuania
www.geology.cz/bulletin/con...

Qualitative characteristics, sparse identification of nonlinear dynamics, and new analytical results of the coupled nonlinear Helmholtz equations - Nonlinear Dynamics The Helmholtz equation (HE) is comprised of two partial differential equations that illustrated wave propagation in a medium, especially for situations where the wavelength is much smaller than the sp...

Coupled nonlinear Helmholtz equations analyzed via bifurcation, chaos, and #recurrence_plots: Qualitative characteristics, sparse identification of nonlinear dynamics, and new analytical results of the coupled nonlinear Helmholtz equations link.springer.com/article/10.1...

Autorecurrence and cross-recurrence plots with correlation lines between cores.

Here we applied tools of the quantitative stratigraphy and dynamical systems: #recurrence_plots and the cross recurrence plots in revealing time correlation across different parts of the basin, according to the taxonomic compositions of conodont communities.
3/5

Stacked bar plot showing the evolution of different journals over time.

A Bibliographic View on #recurrence_plots and Recurrence Quantification Analyses link.springer.com/chapter/10.1...

Soliton, multistability, and chaotic dynamics of the higher-order nonlinear Schrödinger equation This work finds new exact soliton solutions to the fractional space–time higher-order nonlinear Schrödinger equation, describing how tiny pulses move through a

New soliton solutions for nonlinear Schrödinger equations were uncovered using advanced transformations and stability analysis. Chaotic dynamics were explored with tools like #recurrence_plots, revealing intricate wave behaviors in nonlinear systems.
doi.org/10.1063/5.02...

Last chance to register for the 11th symposium on #recurrence_plots in Mexico. Registration will close June 31st.
symposium.recurrence-plot.tk

A hybrid dual-branch model with recurrence plots and transposed transformer for stock trend prediction Stock trend prediction is a significant challenge due to the inherent uncertainty and complexity of stock market time series. In this study, we introduce an inn

A hybrid dual-branch model with #recurrence_plots and transposed transformer for stock trend prediction doi.org/10.1063/5.02...

Screenhot of the symposium's webpage.

We would like to announce the 11th International Symposium on #Recurrence_Plots which will be held at the National Autonomous University of Mexico, September 10-12, 2025.
Abstract submission and registration now open:

symposium.recurrence-plot.tk

Enhanced probabilistic damage localization for composite plate based on joint recurrence plots Localizing damage is a key aspect of monitoring composite laminate structural health. To address the problem of generating the damage index (DI) of co…

Accurately localizing composite laminate damage using RAPID with joint #recurrence_plots and variational auto-encoders – robust even under noise interference. www.sciencedirect.com/science/arti...

An improved short-wave rail irregularity detection method based on frequency-related Recurrence Plot and Convolutional Neural Network - Nonlinear Dynamics Short-wave rail irregularities pose significant risks to high-speed rail safety, as their high-frequency shock features can be effectively captured by axle-box acceleration (ABA) signals. However, vis...

Short-wave rail irregularities decoded: Combining #recurrence_plots with CNNs achieves 96.3% accuracy in identifying rail impact and corrugation from axle-box acceleration signals.
link.springer.com/article/10.1...

Estimation of Carleman operator from a univariate time series Reconstructing a nonlinear dynamical system from empirical time series is a fundamental task in data-driven analysis. One of the main challenges is the existenc

Testing the Carleman operator from a univariate time series with #recurrence_plots pubs.aip.org/aip/cha/arti...

Introducing Mplots: scaling time series recurrence plots to massive datasets - Journal of Big Data Time series similarity matrices (informally, recurrence plots or dot-plots), are useful tools for time series data mining. They can be used to guide data exploration, and various useful features can b...

Introducing Mplots: scaling time series #recurrence_plots to massive datasets journalofbigdata.springeropen.com/articles/10....

The Reinartz Oscillator: Analysis Beyond Regular Behavior of the Circuit This paper is focused on nonlinear behavior associated with fourth-order autonomous lumped circuit known as the Reinartz oscillator. It is shown that this naturally sinusoidal oscillator with three-wi...

Analysing The Reinartz Oscillator with #recurrence_plots – Analysis Beyond Regular Behavior of the Circuit
doi.org/10.1109/ACCE...

Perceptual coupling in human dyads: Kinematics does not affect interpersonal synchronization The minimal, essential condition for individuals to interact is that they exchange information via at least one sensory channel. Once informational co…

Using joint #recurrence_plots to study "Perceptual coupling in human dyads: Kinematics does not affect interpersonal synchronization"
www.sciencedirect.com/science/arti...

Dynamical analysis of a network of bistable energy harvesters with higher-order interactions - The European Physical Journal Special Topics Bistable energy harvesters (BEHs) exhibit diverse dynamical characteristics under external stimulation. This study examines the impact of higher-order interactions on the network dynamics of BEHs and ...

Dynamical analysis of a network of bistable energy harvesters with higher-order interactions based on #recurrence_plots
link.springer.com/article/10.1...

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Another application of #recurrence_plots in Earth sciences: Phytoplankton and zooplankton paleocommunity change before and during the onset of the Lau Extinction Event

linkinghub.elsevier.com/retrieve/pii...

Here we quantitatively studied the base of the food web—phytoplankton, acritarchs and some groups of the zooplankton using different approaches, including #Recurrence_plots which were used in revealing the coordination of diversity dynamics of the phytoplankton and graptolites 3/8

Early warning signals of the termination of the African Humid Period(s) - Nature Communications The end of the green Sahara in the mid-Holocene was gradual, but punctuated by rapidly changing episodes of extreme drought and wetness, to which human societies were exposed and had to adapt to, as a...

Using #recurrence_plots to identify and characterise "Early warning signals of the termination of the African Humid Period(s)"
www.nature.com/articles/s41...

Exploring Confusion and Frustration as Non-linear Dynamical Systems | Proceedings of the 14th Learning Analytics and Knowledge Conference

Exploring Confusion and Frustration as Non-linear Dynamical Systems (using #recurrence_plots)
doi.org/10.1145/3636...

The influence of subpolar marine ice expansion on global climate in the Early Pleistocene - npj Climate and Atmospheric Science npj Climate and Atmospheric Science - The influence of subpolar marine ice expansion on global climate in the Early Pleistocene

Studying the influence of the subpolar marine ice expansion on global climate in the Early Pleistocene with #recurrence_plots
www.nature.com/articles/s41...

Predicting Premature Failures in Small Wind Turbines With Recurrence Plots Abstract. This paper presents the application of the recurrence plot as an alternative for preprocessing the raw data. The recurrence plots can extract the nonlinear and transient response and are sen...

Predicting Premature Failures in Small Wind Turbines With #recurrence_plots
asmedigitalcollection.asme.org/gasturbinesp...

A new similarity measurement method for time series based on image fusion of recurrence plots and wavelet scalogram The core of data series classification and clustering is how to evaluate the similarity between time series. However, for one-dimensional time series,…

A new similarity measurement method for time series based on image fusion of #recurrence_plots and wavelet scalogram doi.org/10.1016/j.en...
www.sciencedirect.com/science/arti...

Visual analytics for process monitoring: Leveraging time-series imaging for enhanced interpretability In the era of big data driven by the advent of the Internet of Things (IoT), process industries face the challenge of analyzing massive and complex da…

Comparing #recurrence_plots and Gramian matrices for deep learning based monitorin in "Visual analytics for process monitoring: Leveraging time-series imaging for enhanced interpretability" doi.org/10.1016/j.jp...

These books contain a chapter on #recurrence_plots and #recurrence_quantification_analysis! Very modern textbooks! 😊

https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023PA004700 Wiley Online Library requires cookies for authentication and use of other site features; therefore, cookies must be enabled to browse the site. Detailed information on how Wiley uses cookies can be fo...

Transforming #recurrence_plots to Laplacian Eigenmatrices helped to find palaeoclimate transitions agupubs.onlinelibrary.wiley.com/doi/10.1029/...

Complex Network Methods for Plastic Deformation Dynamics in Metals Plastic deformation of DC04 steel is regarded as a nonlinear, complex, irreversible, and self-organized process. The stress–strain time series analysis provided the possibility to identify areas of ...

#recurrence_plots as networks to monitor the deformation in metals: Complex Network Methods for Plastic Deformation Dynamics in Metals www.mdpi.com/2673-8716/3/...

Gramian Angular Field and Recurrence Plots as Feature Engineering Techniques on Residential Applianc... The demand for electricity has increased rapidly and, for this reason, there is a need to efficiently use it. In this way, the identification of residential appliances enables such use for consumers a...

Gramian Angular Field and #Recurrence_Plots as Feature Engineering Techniques on Residential Appliances Labeling: A Comparative Analysis
ieeexplore.ieee.org/document/103...

Crazy colour selection for #recurrence_plots (doi.org/10.1016/j.es... )

Predicting Operating Conditions in Wind Turbines Under Gusty Winds This paper presents a comparison of four techniques for predicting future operating conditions. These methods were used to analyze the vibration data of a wind turbine that operates under gusty winds....

Predicting Operating Conditions in Wind Turbines Under Gusty Winds using #recurrence_plots

doi.org/10.1007/978-...