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Engineering and Technology
Germany
2026

D-Index & Metrics

Engineering and Technology

D-Index
137
Citations
112655
World Ranking
19
National Ranking
1

Physics

D-Index
122
Citations
95345
World Ranking
742
National Ranking
64

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Germany Leader Award
  • 2025 - Research.com Engineering and Technology in Germany Leader Award
  • 2023 - Research.com Engineering and Technology in Germany Leader Award
  • 2022 - Research.com Engineering and Technology in Germany Leader Award
  • 2010 - Member of Academia Europaea
  • 1999 - Fellow of American Physical Society (APS) Citation For the development of stochastic synchronization analyses applied to recordings from biological systems and for fundamental contributions to understanding nonlinear dynamical systems

Overview

Jürgen Kurths is affiliated with the Potsdam Institute for Climate Impact Research in Germany. Their research spans multiple interconnected scientific fields, primarily within computer science and its applications to complex systems and climate studies.

The scientist's main fields of study include:

  • Computer Science

Kurths has a significant focus on subfields such as:

  • Statistical and Nonlinear Physics
  • Computer Networks and Communications
  • Global and Planetary Change
  • Cognitive Neuroscience
  • Control and Systems Engineering

The topics of Kurths' work cover a diverse range within nonlinear and complex systems:

  • Nonlinear Dynamics and Pattern Formation
  • Stochastic dynamics and bifurcation
  • Neural dynamics and brain function
  • Neural Networks Stability and Synchronization
  • Ecosystem dynamics and resilience
  • Complex Network Analysis Techniques
  • Climate variability and models

Among the recent papers they have contributed to are:

  • Interacting tipping elements increase risk of climate domino effects under global warming, 2021, Earth System Dynamics
  • Signal propagation in complex networks, 2023, Physics Reports
  • Fully distributed observer-based consensus protocol: Adaptive dynamic event-triggered schemes, 2022, Automatica
  • Communicating sentiment and outlook reverses inaction against collective risks, 2020, Proceedings of the National Academy of Sciences
  • Cooperative and Competitive Multi-Agent Systems: From Optimization to Games, 2022, IEEE/CAA Journal of Automatica Sinica

Kurths frequently publishes in several scientific venues with notable volume, including:

  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • Chaos Solitons & Fractals
  • New Journal of Physics
  • arXiv (Cornell University)
  • Nonlinear Dynamics

Frequent co-authors in Kurths' collaborative work include:

  • Norbert Marwan
  • Yong Xu
  • Andrey Terskov
  • Oxana Semyachkina-Glushkovskaya
  • Inna Blokhina

Jürgen Kurths has been recognized by various scientific bodies, including being named a Member of Academia Europaea in 2010. Additionally, they were awarded Fellow status by the American Physical Society in 1999 for contributions related to stochastic synchronization analyses applied to biological recordings and fundamental advances in understanding nonlinear dynamical systems.

Best Publications

  • Synchronization: Phase locking and frequency entrainment

    Arkady Pikovsky;Michael Rosenblum;Jürgen Kurths

  • Synchronization in complex networks

    Alex Arenas;Alex Arenas;Albert Díaz-Guilera;Albert Díaz-Guilera;Jurgen Kurths;Jurgen Kurths;Yamir Moreno

  • Recurrence plots for the analysis of complex systems

    Norbert Marwan;M. Carmen Romano;Marco Thiel;Jürgen Kurths

  • Phase synchronization of chaotic oscillators

    Michael G. Rosenblum;Arkady S. Pikovsky;Jürgen Kurths

  • The synchronization of chaotic systems

    S. Boccaletti;J. Kurths;G. Osipov;D. L. Valladares

  • Coherence Resonance in a Noise-Driven Excitable System

    Arkady S. Pikovsky;Jürgen Kurths

  • From Phase to Lag Synchronization in Coupled Chaotic Oscillators

    Michael G. Rosenblum;Arkady S. Pikovsky;Jürgen Kurths

  • DETECTION OF PHASE LOCKING FROM NOISY DATA: APPLICATION TO MAGNETOENCEPHALOGRAPHY

    Michael Rosenblum;Peter Tass;Jürgen Kurths;Jens Volkmann

  • Detection of n:m Phase Locking from Noisy Data: Application to Magnetoencephalography

    P. Tass;M. G. Rosenblum;J. Weule;J. Kurths

  • Recurrence-plot-based measures of complexity and their application to heart-rate-variability data.

    Norbert Marwan;Niels Wessel;Udo Meyerfeldt;Alexander Schirdewan

  • Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics

    Wenwu Yu;Guanrong Chen;Ming Cao;Jurgen Kurths

  • The Kuramoto model in complex networks

    Francisco A. Rodrigues;Thomas K. D. M. Peron;Thomas K. D. M. Peron;Peng Ji;Peng Ji;Juergen Kurths

  • The mutual information: detecting and evaluating dependencies between variables.

    Ralph E. Steuer;Jürgen Kurths;Carsten O. Daub;Janko Weise

  • Phase synchronization of chaotic oscillators by external driving

    Arkady S. Pikovsky;Michael G. Rosenblum;Grigory V. Osipov;Jürgen Kurths

  • Complex networks in climate dynamics. Comparing linear and nonlinear network construction methods

    Jonathan F. Donges;Jonathan F. Donges;Yong Zou;Norbert Marwan;Jürgen Kurths;Jürgen Kurths

  • Recurrence networks—a novel paradigm for nonlinear time series analysis

    Reik V Donner;Yong Zou;Jonathan F Donges;Jonathan F Donges;Norbert Marwan

  • Cross wavelet analysis: significance testing and pitfalls

    Douglas Maraun;Jürgen Kurths

  • Network synchronization, diffusion, and the paradox of heterogeneity.

    Adilson E. Motter;Changsong Zhou;Jürgen Kurths

  • Complex network approach for recurrence analysis of time series

    Norbert Marwan;Jonathan F. Donges;Jonathan F. Donges;Yong Zou;Reik V. Donner;Reik V. Donner;Reik V. Donner

  • How basin stability complements the linear-stability paradigm

    Peter J. Menck;Peter J. Menck;Jobst Heitzig;Norbert Marwan;Juergen Kurths;Juergen Kurths;Juergen Kurths

  • Synchronization of chaotic systems

    Arkady Pikovsky;Michael Rosenblum;Jurgen Kurths

  • Synchronization: Discovery of synchronization by Christiaan Huygens

    Arkady Pikovsky;Michael Rosenblum;Jürgen Kurths

Frequent Co-Authors

Changsong Zhou
Changsong Zhou Hong Kong Baptist University
Arkady Pikovsky
Arkady Pikovsky University of Potsdam
Michael Rosenblum
Michael Rosenblum University of Potsdam
Yang Tang
Yang Tang East China University of Science and Technology
Jianquan Lu
Jianquan Lu Southeast University
Lixiang Li
Lixiang Li Beijing University of Posts and Telecommunications
Yixian Yang
Yixian Yang Beijing University of Posts and Telecommunications
Jinqiao Duan
Jinqiao Duan Great Bay University
Haipeng Peng
Haipeng Peng Beijing University of Posts and Telecommunications
Jinde Cao
Jinde Cao Southeast University

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