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.
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