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researcher

J. Kurths

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • nlin.AO1
  • physics.soc-ph1
same name
  • J. Kurths — 62 papers, h 110
  • J. Kurths — 10 papers, h 37
  • J. Kurths — 3 papers, h 9
  • J. Kurths — 3 papers, h 6
  • J. Kurths — 2 papers, h 21
  • J. Kurths — 1 paper, h 11

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

most citedA machine learning approach to predicting dynamical observables from network structure

10 citations · 10 across the 1 of their papers we have counts for

collaborators

2 papers

nlin.AO2019

Monte Carlo Basin Bifurcation Analysis

Maximilian Gelbrecht, Jürgen Kurths, Frank Hellmann

Many high-dimensional complex systems exhibit an enormously complex landscape of possible asymptotic states. Here, we present a numerical approach geared towards analyzing such sys…

physics.soc-ph2019★ 10 cited

A machine learning approach to predicting dynamical observables from network structure

Francisco A. Rodrigues, Thomas Peron, Colm Connaughton +2

Estimating the outcome of a given dynamical process from structural features is a key unsolved challenge in network science. The goal is hindered by difficulties associated to nonl…

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