D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 114 Citations 64,308 832 World Ranking 13 National Ranking 1

Research.com Recognitions

Awards & Achievements

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

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Statistics
  • Artificial intelligence

His primary areas of study are Complex network, Control theory, Topology, Nonlinear system and Phase synchronization. His Complex network research is multidisciplinary, incorporating perspectives in Climatology, Monsoon, Dynamical systems theory, Network topology and Complex system. Jürgen Kurths has included themes like Consensus and Synchronization in his Control theory study.

His Synchronization research is multidisciplinary, relying on both Artificial neural network and Small-world network. He has researched Nonlinear system in several fields, including Statistical physics and Electric power transmission. His Phase synchronization study also includes fields such as

  • Synchronization of chaos and related Synchronization networks and Master stability function,
  • Chaotic which intersects with area such as Phase, Attractor, Limit and Classical mechanics.

His most cited work include:

  • Synchronization: A Universal Concept in Nonlinear Sciences (4903 citations)
  • Synchronization: Phase locking and frequency entrainment (2948 citations)
  • Synchronization in complex networks (2397 citations)

What are the main themes of his work throughout his whole career to date?

Jürgen Kurths mainly investigates Statistical physics, Control theory, Complex network, Topology and Nonlinear system. His research integrates issues of Complex system, Chaotic, Attractor and Noise in his study of Statistical physics. His Control theory study combines topics in areas such as Phase synchronization, Stability, Synchronization of chaos, Synchronization and Coupling.

Phase synchronization is a subfield of Phase that Jürgen Kurths studies. His Complex network study incorporates themes from Dynamical systems theory and Series. His biological study spans a wide range of topics, including Artificial neural network and Network topology.

He most often published in these fields:

  • Statistical physics (31.15%)
  • Control theory (24.17%)
  • Complex network (29.01%)

What were the highlights of his more recent work (between 2019-2021)?

  • Statistical physics (31.15%)
  • Control theory (24.17%)
  • Topology (20.45%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Statistical physics, Control theory, Topology, Complex system and Nonlinear system. His work investigates the relationship between Statistical physics and topics such as Work that intersect with problems in Probability density function. His research investigates the link between Control theory and topics such as Noise that cross with problems in State.

His research integrates issues of Stochastic process, Multi-agent system, Stability and Multistability in his study of Topology. His research on Complex system frequently connects to adjacent areas such as Kuramoto model. Jürgen Kurths combines subjects such as Eigenvalues and eigenvectors and Inertia with his study of Kuramoto model.

Between 2019 and 2021, his most popular works were:

  • Network-induced multistability through lossy coupling and exotic solitary states. (19 citations)
  • Network-induced multistability through lossy coupling and exotic solitary states. (19 citations)
  • Network-induced multistability through lossy coupling and exotic solitary states. (19 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Statistics
  • Artificial intelligence

Jürgen Kurths mainly focuses on Statistical physics, Artificial neural network, Probability density function, Power and Climatology. Jürgen Kurths has included themes like Memristor, Encryption, Control theory and Synchronization in his Artificial neural network study. His Control theory research includes themes of Invariant and Spanning tree.

His work focuses on many connections between Synchronization and other disciplines, such as Basis, that overlap with his field of interest in Control theory. His Power research includes elements of Dynamical systems theory, Distributed computing, Stability and Complex network. His research in Complex network intersects with topics in Rain gauge, Kriging and Identification.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Synchronization: A Universal Concept in Nonlinear Sciences

Arkady Pikovsky;Michael Rosenblum;Jürgen Kurths.
(2001)

8733 Citations

Synchronization: Phase locking and frequency entrainment

Arkady Pikovsky;Michael Rosenblum;Jürgen Kurths.
(2001)

4686 Citations

Synchronization in complex networks

Alex Arenas;Alex Arenas;Albert Díaz-Guilera;Albert Díaz-Guilera;Jurgen Kurths;Jurgen Kurths;Yamir Moreno.
Physics Reports (2008)

3362 Citations

Phase synchronization of chaotic oscillators.

Michael G. Rosenblum;Arkady S. Pikovsky;Jürgen Kurths.
Physical Review Letters (1996)

3119 Citations

Recurrence plots for the analysis of complex systems

Norbert Marwan;M. Carmen Romano;Marco Thiel;Jürgen Kurths.
Physics Reports (2007)

2810 Citations

The synchronization of chaotic systems

S. Boccaletti;J. Kurths;G. Osipov;D.L. Valladares.
Physics Reports (2002)

2802 Citations

Coherence Resonance in a Noise-Driven Excitable System

Arkady S. Pikovsky;Jürgen Kurths.
Physical Review Letters (1997)

1732 Citations

From Phase to Lag Synchronization in Coupled Chaotic Oscillators

Michael G. Rosenblum;Arkady S. Pikovsky;Jürgen Kurths.
Physical Review Letters (1997)

1578 Citations

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

P. Tass;M. G. Rosenblum;J. Weule;J. Kurths.
Physical Review Letters (1998)

1282 Citations

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

Norbert Marwan;Niels Wessel;Udo Meyerfeldt;Alexander Schirdewan.
Physical Review E (2002)

918 Citations

Editorial Boards

Chaos
(Impact Factor: 3.741)

Best Scientists Citing Jürgen Kurths

Juergen Kurths

Juergen Kurths

Potsdam Institute for Climate Impact Research

Publications: 359

Jinde Cao

Jinde Cao

Southeast University

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Guanrong Chen

City University of Hong Kong

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Andreas Voss

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Alexander E. Hramov

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Immanuel Kant Baltic Federal University

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Texas A&M University at Qatar

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Jianquan Lu

Southeast University

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Stefano Boccaletti

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Institute for Complex Systems

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Eckehard Schöll

Eckehard Schöll

Technical University of Berlin

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Wenwu Yu

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Arizona State University

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Peter A. Tass

Peter A. Tass

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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