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Jürgen Kurths

33 papers hereh-index 343.6k citations136 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author14
  • last author18

Across the 32 of 33 papers where every author was matched, so the position is known.

fields
  • nlin.CD6
  • nlin.AO5
  • physics.soc-ph5
  • physics.ao-ph4
  • physics.data-an3
  • cond-mat.stat-mech2
same name
  • Jürgen Kurths — 30 papers, h 26
  • Jürgen Kurths — 9 papers, h 19
  • Jürgen Kurths — 6 papers
  • Jürgen Kurths — 5 papers, h 11
  • Jürgen Kurths — 2 papers, h 2
  • Jürgen Kurths — 1 paper, h 12

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20022024
most citedSolving Fokker-Planck equation using deep learning

157 citations · 977 across the 32 of their papers we have counts for

collaborators
Showing physics.data-anShow all

3 papers · 1 filter

physics.data-an2016★ 53 cited

A climate network-based index to discriminate different types of El Niño and La Niña

Marc Wiedermann, Alexander Radebach, Jonathan F. Donges +2

El Niño exhibits distinct Eastern Pacific (EP) and Central Pacific (CP) types which are commonly, but not always consistently, distinguished from each other by different signatures…

physics.data-an2013★ 60 cited

Complex Network Approach to the Statistical Features of the Sunspot Series

Yong Zou, Michael Small, Zonghua Liu +1

Complex network approaches have been recently developed as an alternative framework to study the statistical features of time-series data. We perform a visibility-graph analysis on…

physics.data-an2012★ 99 cited

Testing time series irreversibility using complex network methods

Jonathan F. Donges, Reik V. Donner, Jürgen Kurths

The absence of time-reversal symmetry is a fundamental property of many nonlinear time series. Here, we propose a new set of statistical tests for time series irreversibility based…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.