| Detecting and quantifying causal associations in large nonlinear time series datasets J Runge, P Nowack, M Kretschmer, S Flaxman, D Sejdinovic Science advances 5 (11), eaau4996, 2019 | 773 | 2019 |
| Inferring causation from time series in Earth system sciences J Runge, S Bathiany, E Bollt, G Camps-Valls, D Coumou, E Deyle, ... Nature communications 10 (1), 2553, 2019 | 744 | 2019 |
| Causal network reconstruction from time series: From theoretical assumptions to practical estimation J Runge Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (7), 2018 | 383 | 2018 |
| Escaping the curse of dimensionality in estimating multivariate transfer entropy J Runge, J Heitzig, V Petoukhov, J Kurths Physical review letters 108 (25), 258701, 2012 | 351 | 2012 |
| Identifying causal gateways and mediators in complex spatio-temporal systems J Runge, V Petoukhov, JF Donges, J Hlinka, N Jajcay, M Vejmelka, ... Nature communications 6 (1), 8502, 2015 | 305 | 2015 |
| Using causal effect networks to analyze different Arctic drivers of midlatitude winter circulation M Kretschmer, D Coumou, JF Donges, J Runge Journal of climate 29 (11), 4069-4081, 2016 | 281 | 2016 |
| Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information J Runge Proceedings of the 21st International Conference on Artificial Intelligence …, 2018 | 199 | 2018 |
| Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets J Runge Conference on Uncertainty in Artificial Intelligence, 1388-1397, 2020 | 192 | 2020 |
| Quantifying the strength and delay of climatic interactions: The ambiguities of cross correlation and a novel measure based on graphical models J Runge, V Petoukhov, J Kurths Journal of climate 27 (2), 720-739, 2014 | 189 | 2014 |
| Quantifying causal coupling strength: A lag-specific measure for multivariate time series related to transfer entropy J Runge, J Heitzig, N Marwan, J Kurths Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 86 (6 …, 2012 | 157 | 2012 |
| Reliability of inference of directed climate networks using conditional mutual information J Hlinka, D Hartman, M Vejmelka, J Runge, N Marwan, J Kurths, M Paluš Entropy 15 (6), 2023-2045, 2013 | 130 | 2013 |
| Causal networks for climate model evaluation and constrained projections P Nowack, J Runge, V Eyring, JD Haigh Nature communications 11 (1), 1415, 2020 | 124 | 2020 |
| The different stratospheric influence on cold-extremes in Eurasia and North America M Kretschmer, J Cohen, V Matthias, J Runge, D Coumou npj Climate and Atmospheric Science 1 (1), 44, 2018 | 118 | 2018 |
| Momentary information transfer as a coupling measure of time series B Pompe, J Runge Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 83 (5 …, 2011 | 117 | 2011 |
| Turn down the heat: climate extremes, regional impacts, and the case for resilience. HJ Schellnhuber, B Hare, O Serdeczny, M Schaeffer, S Adams, F Baarsch, ... | 109 | 2013 |
| Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package JF Donges, J Heitzig, B Beronov, M Wiedermann, J Runge, QY Feng, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 25 (11), 2015 | 105 | 2015 |
| Disentangling different types of El Niño episodes by evolving climate network analysis A Radebach, RV Donner, J Runge, JF Donges, J Kurths Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (5 …, 2013 | 103 | 2013 |
| Statistical mechanics and information-theoretic perspectives on complexity in the earth system G Balasis, RV Donner, SM Potirakis, J Runge, C Papadimitriou, IA Daglis, ... Entropy 15 (11), 4844-4888, 2013 | 100 | 2013 |
| High-recall causal discovery for autocorrelated time series with latent confounders A Gerhardus, J Runge Advances in Neural Information Processing Systems 33, 12615-12625, 2020 | 97 | 2020 |
| Causal inference for time series J Runge, A Gerhardus, G Varando, V Eyring, G Camps-Valls Nature Reviews Earth & Environment 4 (7), 487-505, 2023 | 84 | 2023 |
Jürgen KurthsProfessor of Physics, Humboldt University BerlinПотвърден имейл адрес: pik-potsdam.de
