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A historical review of recurrence plots

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Oct 2008Embargo end date: 01 Jan 2017 Germany Publisher:Springer Science and Business Media LLCJournal:The European Physical Journal Special Topics, volume 164, pages 3-12 (issn: 1951-6355, eissn: 1951-6401,

Authors: Norbert Marwan; Norbert Marwan;

doi: 10.1140/epjst/e2008-00829-1 , 10.48550/arxiv.1709.09971

arXiv: http://arxiv.org/abs/1709.09971

A historical review of recurrence plots

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Abstract

In the last two decades recurrence plots (RPs) were introduced in many different scientific disciplines. It turned out how powerful this method is. After introducing approaches of quantification of RPs and by the study of relationships between RPs and fundamental properties of dynamical systems, this method attracted even more attention. After 20 years of RPs it is time to summarise this development in a historical context.

Country

Germany

Related Organizations

Leibniz Association
Germany
University of Potsdam
Germany
Potsdam Institute for Climate Impact Research
Germany
Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research)
Germany

Keywords

Physics - Physics and Society, Physics - History and Philosophy of Physics, History and Philosophy of Physics (physics.hist-ph), FOS: Physical sciences, Physics and Society (physics.soc-ph)

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	243
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%