Runge, J., Riedl, M., Müller, A., Stepan, H., Kurths, Jürgen, Wessel, N. (2015):
Quantifying the causal strength of multivariate cardiovascular couplings with momentary information transfer
- Physiological Measurement
Boers, N., Barbosa, H. M. J., Bookhagen, B., Marengo, J. A., Marwan, Norbert, Kurths, Jürgen (2015):
Propagation of strong rainfall events from southeastern South America to the Central Andes
- Journal of Climate
Donges, Jonathan Friedemann, Donner, Reik V., Marwan, Norbert, Breitenbach, S. F. M., Rehfeld, K., Kurths, Jürgen (2015):
Nonlinear regime shifts in Holocene Asian monsoon variability: potential impacts on cultural change and migratory patterns
- Climate of the Past
Afsar, O., Eroglu, D., Marwan, Norbert, Kurths, Jürgen (2015):
Scaling behaviour for recurrence-based measures at the edge of chaos
- Europhysics Letters (epl)
Zhao, H., Li, L., Peng, H., Kurths, Jürgen, Xiao, J., Yang, Y. (2015):
Anti-synchronization for stochastic memristor-based neural networks with non-modeled dynamics via adaptive control approach
- The European Physical Journal B
Mukhin, D., Gavrilov, A., Feigin, A., Loskutov, E., Kurths, Jürgen (2015):
Principal nonlinear dynamical modes of climate variability
- Nature Scientific Reports
Boers, N., Donner, Reik V., Bookhagen, B., Kurths, Jürgen (2015):
Complex network analysis helps to identify impacts of the El Niño Southern Oscillation on moisture divergence in South America
- Climate Dynamics
Pavlov, A. N., Pavlova, O. N., Mohammad, Y. K., Kurths, Jürgen (2015):
Characterization of the chaos-hyperchaos transition based on return times
- Physical Review E
Lange, S., Donges, Jonathan Friedemann, Volkholz, J., Kurths, Jürgen (2015):
Local difference measures between complex networks for dynamical system model evaluation
- PloS One
Boers, N., Bookhagen, B., Marengo, J., Marwan, Norbert, Storch, J.-S. von, Kurths, Jürgen (2015):
Extreme rainfall of the South American monsoon system: A dataset comparison using complex networks
- Journal of Climate
Rheinwalt, A., Goswami, B., Boers, N., Heitzig, Jobst, Marwan, Norbert, Krishnan, R., Kurths, Jürgen, Lakshmanan, V., Gilleland, E., McGovern, A., Tingley, M. (2015):
Teleconnections in Climate Networks: A Network-of-Networks Approach to Investigate the Influence of Sea Surface Temperature Variability on Monsoon Systems
- Machine Learning and Data Mining Approaches to Climate Science
Zou, W., Senthilkumar, D. V., Nagao, R., Kiss, I. Z., Tang, Y., Koseska, A., Duan, J., Kurths, Jürgen (2015):
Restoration of rhythmicity in diffusively coupled dynamical networks
- Nature Communications
Li, L., Li, W., Kurths, Jürgen, Luo, Q., Yang, Y., Li, S. (2015):
Pinning adaptive synchronization of a class of uncertain complex dynamical networks with multi-link against network deterioration
- Chaos, Solitons and Fractals
Jalan, S., Singh, A., Acharyya, S., Kurths, Jürgen (2015):
Impact of a leader on cluster synchronization
- Physical Review E
Wu, X., Fu, Z., Kurths, Jürgen (2015):
A secure communication scheme based generalized function projective synchronization of a new 5D hyperchaotic system
- Physica Scripta
He, W., Qian, F., Lam, J., Chen, G., Han, Q.-L., Kurths, Jürgen (2015):
Quasi-synchronization of heterogeneous dynamic networks via distributed impulsive control: Error estimation, optimization and design
- Automatica
Wu, X., Kan, H., Kurths, Jürgen (2015):
A new color image encryption scheme based on DNA sequences and multiple improved 1D chaotic maps
- Applied Soft Computing
Tang, Y., Gao, H., Shi, Y., Kurths, Jürgen (2015):
Synchronizability, controllability and observability of networked multi-agent systems - [Editorial]
- Journal of the Franklin Institute
Dahlem, M. A., Kurths, Jürgen, Ferrari, M. D., Aihara, K., Scheffer, M., May, A. (2015):
Understanding migraine using dynamic network biomarkers
- Cephalalgia
Auer, S., Heitzig, Jobst, Kornek, U., Schöll, E., Kurths, Jürgen (2015):
The dynamics of coalition formation on complex networks
- Nature Scientific Reports
Marwan, Norbert, Foerster, S., Kurths, Jürgen (2015):
Analysing spatially extended high-dimensional dynamics by recurrence plots
- Physics Letters A
Marwan, Norbert, Kurths, Jürgen (2015):
Complex network based techniques to identify extreme events and (sudden) transitions in spatio-temporal systems
- Chaos
Jia, J., Song, Z., Liu, W., Kurths, Jürgen, Xiao, J. (2015):
Experimental study of the triplet synchronization of coupled nonidentical mechanical metronomes
- Nature Scientific Reports
Grabow, C., Grosskinsky, S., Kurths, Jürgen, Timme, M. (2015):
Collective relaxation dynamics of small-world networks
- Physical Review E
Semyachkina-Glushkovskaya, O., Pavlov, A., Kurths, Jürgen, Borisova, E., Gisbrecht, A., Sindeeva, O., Abdurashitov, A., Shirokov, A., Navolokin, N., Zinchenko, E., Gekalyuk, A., Ulanova, M., Zhu, D., Luo, Q., Tuchin, V. (2015):
Optical monitoring of stress-related changes in the brain tissues and vessels associated with hemorrhagic stroke in newborn rats
- Biomedical Optics Express
Zou, Y., Donner, Reik V., Kurths, Jürgen (2015):
Analyzing long-term correlated stochastic processes by means of recurrence networks: Potentials and pitfalls
- Physical Review E
Maslennikov, O. V., Nekorkin, V. I., Kurths, Jürgen (2015):
Basin stability for burst synchronization in small-world networks of chaotic slow-fast oscillators
- Physical Review E
Wiedermann, Marc, Donges, Jonathan Friedemann, Heitzig, Jobst, Lucht, Wolfgang, Kurths, Jürgen (2015):
Macroscopic description of complex adaptive networks coevolving with dynamic node states
- Physical Review E
Runge, J., Petoukhov, R. V., Donges, Jonathan Friedemann, Hlinka, J., Jajcay, N., Vejmelka, M., Hartman, D., Marwan, Norbert, Palus, M., Kurths, Jürgen (2015):
Identifying causal gateways and mediators in complex spatio-temporal systems
- Nature Communications
Donges, Jonathan Friedemann, Heitzig, Jobst, Beronov, B., Wiedermann, Marc, Runge, J., Feng, Q. Y., Tupikina, L., Stolbova, V., Donner, Reik V., Marwan, Norbert, Dijkstra, H. A., Kurths, Jürgen (2015):
Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package
- Chaos
