Jürgen Kurths
Statistical and Nonlinear Physics · 1998–2020
A researcher in the Science corpus: 44 papers; trusts 136 researchers and is trusted by 61 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 337 citations into it; #1,104 of 10,127 by trust here, #672 by citations
- Computer Networks and Communications — 316 citations into it; #398 of 9,886 by trust here, #110 by citations
- Molecular Biology — 116 citations into it; #14,408 of 17,773 by trust here, #6,893 by citations
- Cognitive Neuroscience — 113 citations into it; #2,424 of 10,852 by trust here, #1,393 by citations
- Economics and Econometrics — 83 citations into it; #4,343 of 23,481 by trust here, #5,828 by citations
- Control and Systems Engineering — 59 citations into it; #7,289 of 8,257 by trust here, #5,490 by citations
- Global and Planetary Change — 48 citations into it
- Computational Theory and Mathematics — 45 citations into it; #10,841 of 12,182 by trust here, #6,798 by citations
Whom Jürgen Kurths trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Steven H. Strogatz
- Alex Arenas
- Guanrong Chen
- Wenwu Yu
- Norbert Marwan
- Duncan J. Watts
- Reza Olfati-Saber
- Floris Takens
- Florian Dörfler
Who trusts Jürgen Kurths overall
- Norbert Marwan
- Cornelis J. Stam
- Wenwu Yu
- Reik V. Donner
- Yong Zou
- Yang Tang
- Florian Dörfler
- Bernard Cazelles
- Martin Clayton
- Alex Arenas
Papers from Jürgen Kurths's perspective
Ordered by how strongly the researchers Jürgen Kurths trusts endorse each paper. Same corpus, a different order for every researcher.
- Collective dynamics of ‘small-world’ networks
- Emergence of Scaling in Random Networks
- Statistical mechanics of complex networks
- The Structure and Function of Complex Networks
- Exploring complex networks (Nature)
- Consensus problems in networks of agents with switching topology and time-delays
- Synchronization: A Universal Concept in Nonlinear Sciences
- Algebraic connectivity of graphs
- The large-scale organization of metabolic networks (Nature)
- Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
Their papers
- Escaping the curse of dimensionality in estimating multivariate transfer entropy. (2012) — 313 citations
- The mutual information: Detecting and evaluating dependencies between variables (2002) — 836 citations
- Observing and Interpreting Correlations in Metabolic Networks (2003) — 298 citations
- Recurrence networks—a novel paradigm for nonlinear time series analysis (2009) — 569 citations
- Complex network approach for recurrence analysis of time series (2009) — 555 citations
- Recurrence-based time series analysis by means of complex network methods (2010) — 362 citations
- Nonlinear analysis of bivariate data with cross recurrence plots (2002) — 477 citations
- Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy (2012) — 413 citations
- How much information is contained in a recurrence plot (2004) — 152 citations
- Influence of observational noise on the recurrence quantification analysis (2002) — 255 citations
- How dead ends undermine power grid stability (2014) — 399 citations
- Multivariate recurrence plots (2004) — 153 citations
- Interacting tipping elements increase risk of climate domino effects under global warming (2020) — 343 citations
- Similarity estimators for irregular and age-uncertain time series (2013) — 64 citations
- Complex network approaches to nonlinear time series analysis (2019) — 557 citations
- Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems (2016) — 301 citations
- Identifying causal gateways and mediators in complex spatio-temporal systems (2015) — 326 citations
- Quasi-synchronization of heterogeneous dynamic networks via distributed impulsive control: Error estimation, optimization and design (2015) — 406 citations
- The Kuramoto model in complex networks (2015) — 953 citations
- A new color image encryption scheme based on DNA sequences and multiple improved 1D chaotic maps (2015) — 307 citations