Otto, Ilona M., Wiedermann, Marc, Cremades, R., Donges, Jonathan Friedemann, Auer, Cornelia, Lucht, Wolfgang (2020):
Human agency in the Anthropocene
- Ecological Economics
Wang, Zhen, Jusup, Marko, Guo, Hao, Shi, Lei, Geček, Sunčana, Anand, Madhur, Perc, Matjaž, Bauch, Chris T., Kurths, Jürgen, Boccaletti, Stefano, Schellnhuber, Hans Joachim (2020):
Communicating sentiment and outlook reverses inaction against collective risks
- Proceedings of the National Academy of Sciences of the United States of America (PNAS)
Barfuss, Wolfram, Donges, Jonathan Friedemann, Vasconcelos, Vitor V., Kurths, Jürgen, Levin, Simon A. (2020):
Caring for the future can turn tragedy into comedy for long-term collective action under risk of collapse
- Proceedings of the National Academy of Sciences of the United States of America (PNAS)
Braun, Tobias, Waechter, M., Peinke, J., Guhr, T. (2020):
Correlated power time series of individual wind turbines: A data driven model approach
- Journal of Renewable and Sustainable Energy
Rahmstorf, Stefan, Levermann, Anders, Winkelmann, Ricarda, Donges, Jonathan Friedemann, Caesar, Levke, Sakschewski, Boris, Thonicke, Kirsten (2019):
Kipppunkte im Klimasystem: Eine kurze Übersicht
Shukla, Roopam, Agarwal, Ankit, Gornott, Christoph, Sachdeva, K., Joshi, P. K. (2019):
Farmer typology to understand differentiated climate change adaptation in Himalaya
- Scientific Reports
Majhi, S., Ghosh, D., Kurths, Jürgen (2019):
Emergence of synchronization in multiplex networks of mobile Rössler oscillators
- Physical Review E
Xu, Y., Zan, W., Jia, W., Kurths, Jürgen (2019):
Path integral solutions of the governing equation of SDEs excited by Lévy white noise
- Journal of Computational Physics
Gao, Z.-K., Guo, W., Cai, Q., Ma, C.., Zhang, Y.-B., Kurths, Jürgen (2019):
Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph
- Chaos
Hramov, A. E., Maksimenko, V., Koronovskii, A., Runnova, A. E., Zhuravlev, M., Pisarchik, A. N., Kurths, Jürgen (2019):
Percept-related EEG classification using machine learning approach and features of functional brain connectivity
- Chaos
Ruan, Y., Donner, Reik V., Guan, S., Zou, Y. (2019):
Ordinal partition transition network based complexity measures for inferring coupling direction and delay from time series
- Chaos
Protachevicz, P. R., Borges, F. S., Lameu, E. L., Ji, P., Iarosz, K. C., Kihara, A. H., Caldas, I. L:, Szezech, J. D., Baptista, M. S., Macau, E. E. N., Antonopoulos, C. G., Batista, A. M., Kurths, Jürgen (2019):
Bistable firing pattern in a neural network model
- Frontiers in Computational Neuroscience
Schlemm, Tanja, Levermann, Anders (2019):
A simple stress-based cliff-calving law
- The Cryosphere
Semyachkina-Glushkovskaya, O., Abdurashitov, A., Dubrovsky, A., Shirokov, A., Navolokin, N., Klimova, M., Duarte Torres, E., Khorovodov, A., Mamedova, A., Shareef, A. E., Terskov, A., Saranceva, E., Iskra, T., Kurths, Jürgen (2019):
Lymphatic Clearance from the Blood after Subarachnoid Hemorrhages
- Neural Imaging and Sensing 2019, Proceedings of SPIE
Agarwal, Ankit, Marwan, Norbert, Öztürk, Ugur, Rathinasamy, Maheswaran (2019):
Unfolding Community Structure in Rainfall Network of Germany Using Complex Network-Based Approach
- Water Resources and Environmental Engineering II
Chen, J., Deng, Y., Su, Z., Wang, S., Gao, C., Li, X. (2019):
Identifying multiple influential users based on the overlapping influence in multiplex networks
- IEEE Access
Maksimenko, V. A., Frolov, N. S., Hramov, A. E., Runnova, A. E., Grubov, V. V., Kurths, Jürgen, Pisarchik, A. N. (2019):
Neural interactions in a spatially-distributed cortical etwork during perceptual decision-making
- Frontiers in Behavioral Neuroscience
Mukhin, D., Gavrilov, A., Loskutov, E., Kurths, Jürgen, Feigin, A. (2019):
Bayesian data analysis for revealing causes of the middle Pleistocene transition
- Nature Scientific Reports
Rathinasamy, Maheswaran, Agarwal, Ankit, Sivakumar, B., Marwan, Norbert, Kurths, Jürgen (2019):
Wavelet analysis of precipitation extremes over India and teleconnections to climate indices
- Stochastic Environmental Research and Risk Assessment
Zhu, S., Lu, J., Liu, Y., Huang, T., Kurths, Jürgen (2019):
Output tracking of probabilistic Boolean networks by output feedback control
- Information Sciences
Semyachkina-Glushkovskaya, O., Klimova, M., Duarte Torres, E., Khorovodov, A., Terskov, A., Mamedova, A., Shareef, A. E., Saranceva, E., Iskra, T., Pavlov, A., Kurths, Jürgen (2019):
Novel Promising Stroke Therapy: New Pharmacological and Laser Stimulation of Brain Clearance
- Biophotonics and Immune Responses XIV, Proceedings of SPIE
Zou, W., Zhan, M., Kurths, Jürgen (2019):
Phase transition to synchronization in generalized Kuramoto model with low-pass filter
- Physical Review E
Han, X., Liu, Yang, Bi, Q., Kurths, Jürgen (2019):
Frequency-truncation fast-slow analysis for parametrically and externally excited systems with two slow incommensurate excitation frequencies
- Communications in Nonlinear Science and Numerical Simulation
Zou, Y., Donner, Reik V., Marwan, Norbert, Donges, Jonathan Friedemann, Kurths, Jürgen (2019):
Complex network approaches to nonlinear time series analysis
- Physics Reports
Barfuss, W., Donges, Jonathan Friedemann, Kurths, Jürgen (2019):
Deterministic limit of temporal difference reinforcement learning for stochastic games
- Physical Review E
Strnad, Felix, Barfuss, Wolfram, Donges, Jonathan Friedemann, Heitzig, Jobst (2019):
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies
- Chaos
Di Capua, Giorgia, Kretschmer, Marlene, Runge, J., Alessandri, A., Donner, Reik V., van den Hurk, B., Vellore, R., Krishnan, R., Coumou, Dim (2019):
Long-lead statistical forecasts of the Indian Summer Monsoon rainfall based on causal precursors
- Weather and Forecasting
Semyachkina-Glushkovskaya, O., Navolokin, N., Bragin, D., Khorovodov, A., Klimova, M, Terskov, A., Mamedova, A., Kurths, Jürgen (2019):
Laser stimulation of brain drainage and recovery after hemorrhagic stroke [Abstract]
- Stroke
Fan, J., Cohen, K., Shekhtman, L. M., Liu, S., Meng, J., Louzoun, Y., Havlin, S. (2019):
Topology of products similarity network for market forecasting
- Applied Network Science
Ma, J., Xu, Y., Li, Y., Tian, R., Kurths, Jürgen (2019):
Predicting noise-induced critical transitions in bistable systems
- Chaos
