activity
20092025
most citedComplex Network Approach for Recurrence Analysis of Time Series

608 citations · 1.3k across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2025

Synchronization transitions and spike dynamics in a higher-order Kuramoto model with Lévy noise

Dan Zhao, Jürgen Kurths, Norbert Marwan +1

Synchronization in various complex networks is significantly influenced by higher-order interactions combined with non-Gaussian stochastic perturbations, yet their mechanisms remai…

nlin.CD2025

Recurrence Patterns Correlation

Gabriel Marghoti, Matheus Palmero Silva, Thiago de Lima Prado +3

Recurrence plots (RPs) are powerful tools for visualizing time series dynamics; however, traditional Recurrence Quantification Analysis (RQA) often relies on global metrics, such a…

physics.data-an2020★ 7 cited

Coping with dating errors in causality estimation

D. A. Smirnov, N. Marwan, S. F. M. Breitenbach +2

{We consider the problem of estimating causal influences between observed processes from time series possibly corrupted by errors in the time variable (dating errors) which are typ…

nlin.CD2014★ 61 cited

Analysing spatially extended high-dimensional dynamics by recurrence plots

Norbert Marwan, Jürgen Kurths, Saskia Foerster

Recurrence plot based measures of complexity are capable tools for characterizing complex dynamics. In this letter we show the potential of selected recurrence plot measures for th…

nlin.CD2013★ 27 cited

Geometric signature of complex synchronisation scenarios

Jan F. Feldhoff, Reik V. Donner, Jonathan F. Donges +2

Synchronisation between coupled oscillatory systems is a common phenomenon in many natural as well as technical systems. Varying the strength of coupling often leads to qualitative…

nlin.CD2009★ 608 cited

Complex Network Approach for Recurrence Analysis of Time Series

N. Marwan, J. F. Donges, Y. Zou +2

We propose a novel approach for analysing time series using complex network theory. We identify the recurrence matrix calculated from time series with the adjacency matrix of a com…