A bibliographic view on recurrence plots and recurrence quantification analyses
arXiv:2508.20152 · doi:10.1007/978-3-031-91062-3_1
Abstract
A bibliographic database containing studies on recurrence plots and related methods is analyzed from various perspectives. This allows a detailed view of the field's development, showcasing the continuous growth in the method's popularity, as well as the emergence, decline, and dynamics of topical subjects over time. Furthermore, the analysis unveils the activity and impact of the different groups, shedding light on their collaborative efforts and contributions to the field.
References in corpus (21)
- Fast unfolding of communities in large networks
- Recurrence Plots for the Analysis of Complex Systems
- Recurrence Plot Based Measures of Complexity and its Application to Heart Rate Variability Data
- Complex network approaches to nonlinear time series analysis
- Recurrence networks - A novel paradigm for nonlinear time series analysis
- Complex Network Approach for Recurrence Analysis of Time Series
- Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
- Nonlinear analysis of bivariate data with cross recurrence plots
- Recurrence-based time series analysis by means of complex network methods
- Historical Review of Recurrence Plots
- How to avoid potential pitfalls in recurrence plot based data analysis
- Ambiguities in recurrence-based complex network representations of time series
- Line Structures in Recurrence Plots
- Analytical framework for recurrence-network analysis of time series
- Stability of Terrestrial Planets in the Habitable Zone of Gl 777 A, HD 72659, Gl 614, 47 Uma and HD 4208
- Trends in recurrence analysis of dynamical systems
- Evaluation of selected recurrence measures in discriminating pre-ictal and inter-ictal periods from epileptic EEG data
- Leveraging Citation Networks to Visualize Scholarly Influence Over Time
- Quantifying the rise and fall of scientific fields
- Detecting event-related recurrences by symbolic analysis: Applications to human language processing
- Radius selection using kernel density estimation for the computation of nonlinear measures