DeepAR: Probabilistic forecasting with autoregressive recurrent networks D Salinas, V Flunkert, J Gasthaus, T Januschowski International Journal of Forecasting 36 (3), 1181-1191, 2020 | 1539 | 2020 |

Refuting the odd-number limitation of time-delayed feedback control B Fiedler, V Flunkert, M Georgi, P Hövel, E Schöll Physical Review Letters 98 (11), 114101, 2007 | 225 | 2007 |

Synchronizing distant nodes: a universal classification of networks V Flunkert, S Yanchuk, T Dahms, E Schöll Physical review letters 105 (25), 254101, 2010 | 184 | 2010 |

Gluonts: Probabilistic and neural time series modeling in python A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ... The Journal of Machine Learning Research 21 (1), 4629-4634, 2020 | 176 | 2020 |

Criteria for classifying forecasting methods T Januschowski, J Gasthaus, Y Wang, D Salinas, V Flunkert, ... International Journal of Forecasting 36 (1), 167-177, 2020 | 159 | 2020 |

Strong and weak chaos in nonlinear networks with time-delayed couplings S Heiligenthal, T Dahms, S Yanchuk, T Jüngling, V Flunkert, I Kanter, ... Physical review letters 107 (23), 234102, 2011 | 141 | 2011 |

Probabilistic forecasting with spline quantile function RNNs J Gasthaus, K Benidis, Y Wang, SS Rangapuram, D Salinas, V Flunkert, ... The 22nd international conference on artificial intelligence and statistics …, 2019 | 138 | 2019 |

Probabilistic demand forecasting at scale JH Böse, V Flunkert, J Gasthaus, T Januschowski, D Lange, D Salinas, ... Proceedings of the VLDB Endowment 10 (12), 1694-1705, 2017 | 136 | 2017 |

Neural forecasting: Introduction and literature overview K Benidis, SS Rangapuram, V Flunkert, B Wang, D Maddix, C Turkmen, ... arXiv preprint arXiv:2004.10240 6, 2020 | 119 | 2020 |

Elastic machine learning algorithms in amazon sagemaker E Liberty, Z Karnin, B Xiang, L Rouesnel, B Coskun, R Nallapati, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 118 | 2020 |

Beyond the odd number limitation: A bifurcation analysis of time-delayed feedback control W Just, B Fiedler, M Georgi, V Flunkert, P Hövel, E Schöll Physical Review E 76 (2), 026210, 2007 | 115 | 2007 |

Bayesian intermittent demand forecasting for large inventories MW Seeger, D Salinas, V Flunkert Advances in Neural Information Processing Systems 29, 2016 | 110 | 2016 |

Bubbling in delay-coupled lasers V Flunkert, O D’Huys, J Danckaert, I Fischer, E Schöll Physical Review E 79 (6), 065201, 2009 | 104 | 2009 |

Gluonts: Probabilistic time series models in python A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ... arXiv preprint arXiv:1906.05264, 2019 | 86 | 2019 |

Symmetry-breaking transitions in networks of nonlinear circuit elements M Heinrich, T Dahms, V Flunkert, SW Teitsworth, E Schöll New Journal of Physics 12 (11), 113030, 2010 | 77 | 2010 |

Deep learning for time series forecasting: Tutorial and literature survey K Benidis, SS Rangapuram, V Flunkert, Y Wang, D Maddix, C Turkmen, ... ACM Computing Surveys 55 (6), 1-36, 2022 | 71 | 2022 |

Dynamics, control and information in delay-coupled systems: an overview V Flunkert, I Fischer, E Schöll Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2013 | 65 | 2013 |

Adaptive tuning of feedback gain in time-delayed feedback control J Lehnert, P Hövel, V Flunkert, PY Guzenko, AL Fradkov, E Schöll Chaos: An Interdisciplinary Journal of Nonlinear Science 21 (4), 2011 | 61 | 2011 |

Delay stabilization of rotating waves near fold bifurcation and application to all-optical control of a semiconductor laser B Fiedler, S Yanchuk, V Flunkert, P Hövel, HJ Wünsche, E Schöll Physical Review E 77 (6), 066207, 2008 | 61 | 2008 |

Mismatch and synchronization: Influence of asymmetries in systems of two delay-coupled lasers K Hicke, O D’Huys, V Flunkert, E Schöll, J Danckaert, I Fischer Physical Review E 83 (5), 056211, 2011 | 59 | 2011 |