Geometry of linear ill-posed problems in variable Hilbert scales P Mathé, SV Pereverzev Inverse problems 19 (3), 789, 2003 | 356 | 2003 |

On regularization algorithms in learning theory F Bauer, S Pereverzev, L Rosasco Journal of complexity 23 (1), 52-72, 2007 | 338 | 2007 |

Quantum oscillations between two weakly coupled reservoirs of superfluid ^{3}HeSV Pereverzev, A Loshak, S Backhaus, JC Davis, RE Packard Nature 388 (6641), 449-451, 1997 | 271 | 1997 |

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 | 259 | 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 | 234 | 2005 |

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 | 141 | 2017 |

Regularization theory for ill-posed problems: selected topics S Lu, SV Pereverzev Walter de Gruyter, 2013 | 140 | 2013 |

Regularization of some linear ill-posed problems with discretized random noisy data P Mathé, S Pereverzev Mathematics of Computation 75 (256), 1913-1929, 2006 | 126 | 2006 |

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 | 118 | 2000 |

Discretization strategy for linear ill-posed problems in variable Hilbert scales P Mathé, SV Pereverzev Inverse Problems 19 (6), 1263, 2003 | 115 | 2003 |

Regularization in Hilbert scales under general smoothing conditions MT Nair, SV Pereverzev, U Tautenhahn Inverse Problems 21 (6), 1851, 2005 | 109 | 2005 |

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 | 104 | 2001 |

Multi-parameter regularization and its numerical realization S Lu, SV Pereverzev Numerische Mathematik 118, 1-31, 2011 | 99 | 2011 |

Numerical differentiation from a viewpoint of regularization theory S Lu, S Pereverzev Mathematics of computation 75 (256), 1853-1870, 2006 | 97 | 2006 |

Discovery of a metastable π-state in a superfluid ^{3}He weak linkS Backhaus, S Pereverzev, RW Simmonds, A Loshak, JC Davis, ... Nature 392 (6677), 687-690, 1998 | 94 | 1998 |

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 | 90 | 1997 |

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 | 77 | 2012 |

Morozov's discrepancy principle for tikhonov S Pereverzev, E Schock Numerical Functional Analysis and Optimization 21 (7-8), 901-916, 2000 | 77 | 2000 |

Adaptive kernel methods using the balancing principle E De Vito, S Pereverzyev, L Rosasco Foundations of Computational Mathematics 10, 455-479, 2010 | 71 | 2010 |

Record-low NEP in hot-electron titanium nanobolometers BS Karasik, D Olaya, J Wei, S Pereverzev, ME Gershenson, ... IEEE transactions on applied superconductivity 17 (2), 293-297, 2007 | 70 | 2007 |