Convoluted generalized white noise, Schwinger functions and their analytic continuation to Wightman functions S Albeverio, H Gottschalk, JL Wu Reviews in Mathematical Physics 8 (06), 763-817, 1996 | 95 | 1996 |

Models of local relativistic quantum fields with indefinite metric (in all dimensions) S Albeverio, H Gottschalk, JL Wu Communications in mathematical physics 184 (3), 509-531, 1997 | 62 | 1997 |

A probabilistic model for LCF S Schmitz, T Seibel, T Beck, G Rollmann, R Krause, H Gottschalk Computational Materials Science 79, 584-590, 2013 | 51 | 2013 |

Scattering Theory for Quantum Fields¶ with Indefinite Metric S Albeverio, H Gottschalk Communications in Mathematical Physics 216 (3), 491-513, 2001 | 32 | 2001 |

Systems of classical particles in the grand canonical ensemble, scaling limits and quantum field theory S Albeverio, H Gottschalk, MW Yoshida Reviews in Mathematical Physics 17 (02), 175-226, 2005 | 31 | 2005 |

Combined notch and size effect modeling in a local probabilistic approach for LCF L Mäde, S Schmitz, H Gottschalk, T Beck Computational Materials Science 142, 377-388, 2018 | 27 | 2018 |

Risk estimation for LCF crack initiation S Schmitz, H Gottschalk, G Rollmann, R Krause Turbo Expo: Power for Land, Sea, and Air 55263, V07AT27A007, 2013 | 23 | 2013 |

Dynamical backreaction in Robertson–Walker spacetime B Eltzner, H Gottschalk Reviews in Mathematical Physics 23 (05), 531-551, 2011 | 22 | 2011 |

Probabilistic lcf risk evaluation of a turbine vane by combined size effect and notch support modeling L Mäde, H Gottschalk, S Schmitz, T Beck, G Rollmann ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, 2017 | 21 | 2017 |

The Feynman graph representation of convolution semigroups and its applications to Lévy statistics H Gottschalk, B Smii, H Thaler Bernoulli 14 (2), 322-351, 2008 | 20 | 2008 |

Nontrivial scattering amplitudes for some local relativistic quantum field models with indefinite metric S Albeverio, H Gottschalk, JL Wu Physics Letters B 405 (3-4), 243-248, 1997 | 18 | 1997 |

Prediction error meta classification in semantic segmentation: Detection via aggregated dispersion measures of softmax probabilities M Rottmann, P Colling, TP Hack, R Chan, F Hüger, P Schlicht, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 16 | 2020 |

Classification uncertainty of deep neural networks based on gradient information P Oberdiek, M Rottmann, H Gottschalk IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 113-125, 2018 | 16 | 2018 |

Feynman graph representation of the perturbation series for general functional measures SH Djah, H Gottschalk, H Ouerdiane Journal of functional Analysis 227 (1), 153-187, 2005 | 16 | 2005 |

Minimal failure probability for ceramic design via shape control M Bolten, H Gottschalk, S Schmitz Journal of Optimization Theory and Applications 166 (3), 983-1001, 2015 | 15 | 2015 |

Optimal reliability in design for fatigue life H Gottschalk, S Schmitz SIAM Journal on Control and Optimization 52 (5), 2727-2752, 2014 | 15 | 2014 |

Application of decision rules for handling class imbalance in semantic segmentation R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk arXiv preprint arXiv:1901.08394, 2019 | 14 | 2019 |

How to determine the law of the solution to a SPDE driven by a Lévy space-time noise H Gottschalk, B Smii J. Math. Phys 43, 1-22, 2007 | 14 | 2007 |

Scattering behaviour of quantum vector fields obtained from Euclidean covariant SPDEs S Albeverio, H Gottschalk, JL Wu Reports on Mathematical Physics 44 (1-2), 21-28, 1999 | 13 | 1999 |

Time-dynamic estimates of the reliability of deep semantic segmentation networks K Maag, M Rottmann, H Gottschalk 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 12 | 2020 |