Publications List

Complexity Science
Bera, B. K., Rakshit, S., Ghosh, D., Kurths, Jürgen (2019): Spike chimera states and firing regularities in neuronal hypernetworks - Chaos
Feldmann, Johannes, Levermann, Anders, Mengel, Matthias (2019): Stabilizing the West Antarctic Ice Sheet by surface mass deposition - Science Advances
Frolov, N. S., Grubov, V. V., Maksimenko, V. A., Lüttjohann, A., Makarov, V. V., Pavlov, A. N., Sitnikova, E., Pisarchik, A. N., Kurths, Jürgen, Hramov, A. E. (2019): Statistical properties and predictability of extreme epileptic events - Nature Scientific Reports
Zhang, C., Feng, W., Li, Y., Kurths, Jürgen, Yu, T., Semyachkina‐Glushkovskaya, O., Zhu, D. (2019): Age differences in photodynamic therapy-mediated opening of the blood-brain barrier through the optical clearing skull window in mice - Lasers in Surgery and Medicine
Krishnan, A., Manikandan, R., Midhun, P. R., Reeja, K. V., Unni, V. R., Sujith, R. I., Marwan, Norbert, Kurths, Jürgen (2019): Mitigation of oscillatory instability in turbulent reactive flows: A novel approach using complex networks - EPL (Europhysics Letters)
Chen, L., Ji, P., Waxman, D., Lin, W., Kurths, Jürgen (2019): Effects of dynamical and structural modifications on synchronization - Chaos
Chen, X., Wu, F., Duan, J., Kurths, Jürgen, Li, X. (2019): Most probable dynamics of a genetic regulatory network under stable Lévy noise - Applied Mathematics and Computation
Safina, O. S., Voronov, A. V., Safin, A. R., Bulatov, M. F., Churikov, D. V., Surovyatkina, Elena (2019): Normal mode spectra of hierarchical ensembles of interconnected oscillators - Technical Physics Letters
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
Levermann, Anders (2019): In anderen Sphären - Die Dame
Gavrilov, A., Seleznev, A., Mukhin, D., Loskutov, E., Feigin, A., Kurths, Jürgen (2019): Linear dynamical modes as new variables for data-driven ENSO forecast - Climate Dynamics
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
Manoj, K., Pawar, S. A., Dange, S., Mondal, S., Sujith, R. I., Surovyatkina, Elena, Kurths, Jürgen (2019): Synchronization route to weak chimera in four candle-flame oscillators - Physical Review E
Gao, C., Su, Z., Liu, J., Kurths, Jürgen (2019): Even central users do not always drive information diffusion - Communications of the ACM
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
Li, X., Li, L., Yue, Z., Tang, X., Voss, H. U., Kurths, Jürgen, Yuan, Y. (2019): Sparse learning of partial differential equations with structured dictionary matrix - Chaos
Ueckerdt, Falko, Frieler, Katja, Lange, Stefan, Wenz, Leonie, Luderer, Gunnar, Levermann, Anders (2019): The economically optimal warming limit of the planet - Earth System Dynamics
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
Levermann, Anders (2019): Individuals can’t solve the climate crisis. Governments need to step up - Individuals can’t solve the climate crisis. Governments need to step up, The Guardian - Environment
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
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