Introduction to the non-asymptotic analysis of random matrices R Vershynin arXiv preprint arXiv:1011.3027, 2010 | 1897 | 2010 |

Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit D Needell, R Vershynin Foundations of computational mathematics 9 (3), 317-334, 2009 | 1082 | 2009 |

Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit D Needell, R Vershynin IEEE Journal of selected topics in signal processing 4 (2), 310-316, 2010 | 964 | 2010 |

On sparse reconstruction from Fourier and Gaussian measurements M Rudelson, R Vershynin Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2008 | 791 | 2008 |

A randomized Kaczmarz algorithm with exponential convergence T Strohmer, R Vershynin Journal of Fourier Analysis and Applications 15 (2), 262, 2009 | 475 | 2009 |

Hanson-Wright inequality and sub-gaussian concentration M Rudelson, R Vershynin Electronic Communications in Probability 18, 2013 | 339 | 2013 |

Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach Y Plan, R Vershynin IEEE Transactions on Information Theory 59 (1), 482-494, 2012 | 331 | 2012 |

Error correction via linear programming E Candes, M Rudelson, T Tao, R Vershynin 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05), 668-681, 2005 | 328 | 2005 |

One‐Bit Compressed Sensing by Linear Programming Y Plan, R Vershynin Communications on Pure and Applied Mathematics 66 (8), 1275-1297, 2013 | 320 | 2013 |

One sketch for all: fast algorithms for compressed sensing AC Gilbert, MJ Strauss, JA Tropp, R Vershynin Proceedings of the thirty-ninth annual ACM symposium on Theory of computing …, 2007 | 315 | 2007 |

The Littlewood–Offord problem and invertibility of random matrices M Rudelson, R Vershynin Advances in Mathematics 218 (2), 600-633, 2008 | 303 | 2008 |

Sampling from large matrices: An approach through geometric functional analysis M Rudelson, R Vershynin Journal of the ACM (JACM) 54 (4), 21, 2007 | 294 | 2007 |

High-dimensional probability: An introduction with applications in data science R Vershynin Cambridge University Press, 2018 | 283 | 2018 |

Sparse reconstruction by convex relaxation: Fourier and Gaussian measurements M Rudelson, R Vershynin 2006 40th Annual Conference on Information Sciences and Systems, 207-212, 2006 | 264 | 2006 |

Non-asymptotic theory of random matrices: extreme singular values M Rudelson, R Vershynin Proceedings of the International Congress of Mathematicians 2010 (ICM 2010 …, 2010 | 252 | 2010 |

Smallest singular value of a random rectangular matrix M Rudelson, R Vershynin Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2009 | 250 | 2009 |

Geometric approach to error-correcting codes and reconstruction of signals M Rudelson, R Vershynin International mathematics research notices 2005 (64), 4019-4041, 2005 | 203 | 2005 |

How close is the sample covariance matrix to the actual covariance matrix? R Vershynin Journal of Theoretical Probability 25 (3), 655-686, 2012 | 195 | 2012 |

Algorithmic linear dimension reduction in the l_1 norm for sparse vectors AC Gilbert, MJ Strauss, JA Tropp, R Vershynin arXiv preprint cs/0608079, 2006 | 179 | 2006 |

Community detection in sparse networks via Grothendieck’s inequality O Guédon, R Vershynin Probability Theory and Related Fields 165 (3-4), 1025-1049, 2016 | 125 | 2016 |