Translational Recurrences

From Mathematical Theory to Real-World Applications

  • Norbert Marwan
  • Michael Riley
  • Alessandro Giuliani
  • Charles L. Webber, Jr.
Conference proceedings

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 103)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Stephan Spiegel, Johannes-Brijnesh Jain, Sahin Albayrak
    Pages 1-15
  3. Tobias Rawald, Mike Sips, Norbert Marwan, Doris Dransch
    Pages 17-29
  4. Cornel Ioana, Angela Digulescu, Alexandru Serbanescu, Ion Candel, Florin-Marian Birleanu
    Pages 75-93
  5. Luisa F. S. Uribe, Filipe I. Fazanaro, Gabriela Castellano, Ricardo Suyama, Romis Attux, Eleri Cardozo et al.
    Pages 95-107
  6. Laurita dos Santos, Joaquim J. Barroso, Moacir F. de Godoy, Elbert E. N. Macau, Ubiratan S. Freitas
    Pages 125-136
  7. Michael Tolston, Kris Ariyabuddhiphongs, Michael A. Riley, Kevin Shockley
    Pages 157-171
  8. Charles A. Coey, Auriel Washburn, Michael J. Richardson
    Pages 173-186
  9. Patrick Crowley, Christopher Trombley
    Pages 187-210
  10. Kousik Guhathakurta, Norbert Marwan, Basabi Bhattacharya, A. Roy Chowdhury
    Pages 211-230

About these proceedings


This book features 13 papers presented at the Fifth International Symposium on

Recurrence Plots, held August 2013 in Chicago, IL. It examines recent applications

and developments in recurrence plots and recurrence quantifi cation analysis (RQA)

with special emphasis on biological and cognitive systems and the analysis of coupled

systems using cross-recurrence methods.

Readers will discover new applications and insights into a range of systems provided

by recurrence plot analysis and new theoretical and mathematical developments in

recurrence plots. Recurrence plot based analysis is a powerful tool that operates on

real-world complex systems that are nonlinear, non-stationary, noisy, of any statistical

distribution, free of any particular model type, and not particularly long. Quantitative

analyses promote the detection of system state changes, synchronized dynamical

regimes, or classifi cation of system states.

Th e book will be of interest to an interdisciplinary audience of recurrence plot users

and researchers interested in time series analysis of complex systems in general.


complex systems non-linear systems recurrence analysis time series analysis

Editors and affiliations

  • Norbert Marwan
    • 1
  • Michael Riley
    • 2
  • Alessandro Giuliani
    • 3
  • Charles L. Webber, Jr.
    • 4
  1. 1.Potsdam Institute for Climate Impact ResPotsdamGermany
  2. 2.Dept. of PsychologyUniversity of CincinnatiCincinnatiUSA
  3. 3.Istituto Superiore di SanitaRomeItaly
  4. 4.Loyola University Chicago, Stritch School of MedicineHealth Sciences Division,Dept. of Cell and Molecular PhysiologyMaywoodUSA

Bibliographic information

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