Geometry of linear ill-posed problems in variable Hilbert scales P Mathé, SV Pereverzev Inverse problems 19 (3), 789, 2003 | 320 | 2003 |

Quantum oscillations between two weakly coupled reservoirs of superfluid 3 He SV Pereverzev, A Loshak, S Backhaus, JC Davis, RE Packard Nature 388 (6641), 449-451, 1997 | 249 | 1997 |

On regularization algorithms in learning theory F Bauer, S Pereverzev, L Rosasco Journal of complexity 23 (1), 52-72, 2007 | 243 | 2007 |

Ultrasensitive hot-electron nanobolometers for terahertz astrophysics J Wei, D Olaya, BS Karasik, SV Pereverzev, AV Sergeev, ME Gershenson Nature nanotechnology 3 (8), 496-500, 2008 | 231 | 2008 |

On the adaptive selection of the parameter in regularization of ill-posed problems S Pereverzev, E Schock SIAM Journal on Numerical Analysis 43 (5), 2060-2076, 2005 | 210 | 2005 |

Regularization of some linear ill-posed problems with discretized random noisy data P Mathé, S Pereverzev Mathematics of Computation 75 (256), 1913-1929, 2006 | 112 | 2006 |

Discretization strategy for linear ill-posed problems in variable Hilbert scales P Mathé, SV Pereverzev Inverse Problems 19 (6), 1263, 2003 | 104 | 2003 |

Regularization in Hilbert scales under general smoothing conditions MT Nair, SV Pereverzev, U Tautenhahn Inverse Problems 21 (6), 1851, 2005 | 103 | 2005 |

Adaptive estimation of linear functionals in Hilbert scales from indirect white noise observations A Goldenshluger, SV Pereverzev Probability Theory and Related Fields 118 (2), 169-186, 2000 | 103 | 2000 |

Discovery of a metastable π-state in a superfluid 3 He weak link S Backhaus, S Pereverzev, RW Simmonds, A Loshak, JC Davis, ... Nature 392 (6677), 687-690, 1998 | 91 | 1998 |

Regularization theory for ill-posed problems S Lu, SV Pereverzev Regularization Theory for Ill-posed Problems, 2013 | 88 | 2013 |

Numerical differentiation from a viewpoint of regularization theory S Lu, S Pereverzev Mathematics of computation 75 (256), 1853-1870, 2006 | 85 | 2006 |

Optimal discretization of inverse problems in Hilbert scales. Regularization and self-regularization of projection methods P Mathé, SV Pereverzev SIAM Journal on Numerical Analysis 38 (6), 1999-2021, 2001 | 85 | 2001 |

Direct measurement of the current-phase relation of a superfluid 3He-B weak link S Backhaus, SV Pereverzev, A Loshak, JC Davis, RE Packard Science 278 (5342), 1435-1438, 1997 | 81 | 1997 |

Multi-parameter regularization and its numerical realization S Lu, SV Pereverzev Numerische Mathematik 118 (1), 1-31, 2011 | 76 | 2011 |

Morozov's discrepancy principle for tikhonov S Pereverzev, E Schock Numerical Functional Analysis and Optimization 21 (7-8), 901-916, 2000 | 67 | 2000 |

A meta-learning approach to the regularized learning—Case study: Blood glucose prediction V Naumova, SV Pereverzyev, S Sivananthan Neural Networks 33, 181-193, 2012 | 65 | 2012 |

Stochastic weighted particle methods for population balance equations RIA Patterson, W Wagner, M Kraft Journal of Computational Physics 230 (19), 7456-7472, 2011 | 65 | 2011 |

Information complexity of multivariate Fredholm integral equations in Sobolev classes K Frank, S Heinrich, S Pereverzev Journal of Complexity 12 (1), 17-34, 1996 | 65 | 1996 |

A deep learning approach to diabetic blood glucose prediction HN Mhaskar, SV Pereverzyev, MD van der Walt Frontiers in Applied Mathematics and Statistics 3, 14, 2017 | 64 | 2017 |