CoSaMP: Iterative signal recovery from incomplete and inaccurate samples D Needell, JA Tropp Applied and computational harmonic analysis 26 (3), 301-321, 2009 | 5029 | 2009 |

Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit D Needell, R Vershynin Foundations of computational mathematics 9 (3), 317-334, 2009 | 1229 | 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 | 1118 | 2010 |

Compressed sensing with coherent and redundant dictionaries EJ Candes, YC Eldar, D Needell, P Randall Applied and Computational Harmonic Analysis 31 (1), 59-73, 2011 | 940 | 2011 |

Stochastic gradient descent, weighted sampling, and the randomized kaczmarz algorithm D Needell, R Ward, N Srebro Advances in neural information processing systems 27, 1017-1025, 2014 | 324 | 2014 |

Stable image reconstruction using total variation minimization D Needell, R Ward SIAM Journal on Imaging Sciences 6 (2), 1035-1058, 2013 | 229 | 2013 |

Randomized Kaczmarz solver for noisy linear systems D Needell BIT Numerical Mathematics 50 (2), 395-403, 2010 | 200 | 2010 |

Paved with good intentions: analysis of a randomized block Kaczmarz method D Needell, JA Tropp Linear Algebra and its Applications 441, 199-221, 2014 | 175 | 2014 |

Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm D Needell, N Srebro, R Ward Mathematical Programming 155 (1-2), 549-573, 2016 | 156 | 2016 |

Signal space CoSaMP for sparse recovery with redundant dictionaries MA Davenport, D Needell, MB Wakin IEEE Transactions on Information Theory 59 (10), 6820-6829, 2013 | 123 | 2013 |

Greedy signal recovery review D Needell, J Tropp, R Vershynin 2008 42nd Asilomar conference on signals, systems and computers, 1048-1050, 2008 | 118 | 2008 |

Convergence properties of the randomized extended Gauss--Seidel and Kaczmarz methods A Ma, D Needell, A Ramdas SIAM Journal on Matrix Analysis and Applications 36 (4), 1590-1604, 2015 | 115 | 2015 |

Acceleration of randomized Kaczmarz method via the Johnson–Lindenstrauss lemma YC Eldar, D Needell Numerical Algorithms 58 (2), 163-177, 2011 | 111 | 2011 |

Exponential decay of reconstruction error from binary measurements of sparse signals RG Baraniuk, S Foucart, D Needell, Y Plan, M Wootters IEEE Transactions on Information Theory 63 (6), 3368-3385, 2017 | 106 | 2017 |

CoSaMP: Iterative signal recovery from incomplete and inaccurate samples JA Tropp, D Needell | 98 | 2008 |

Topics in compressed sensing D Needell University of California, Davis, 2009 | 96 | 2009 |

Noisy signal recovery via iterative reweighted l1-minimization D Needell 2009 Conference Record of the Forty-Third Asilomar Conference on Signals …, 2009 | 95 | 2009 |

Linear convergence of stochastic iterative greedy algorithms with sparse constraints N Nguyen, D Needell, T Woolf IEEE Transactions on Information Theory 63 (11), 6869-6895, 2017 | 81 | 2017 |

Near-optimal compressed sensing guarantees for total variation minimization D Needell, R Ward IEEE transactions on image processing 22 (10), 3941-3949, 2013 | 74 | 2013 |

Randomized block Kaczmarz method with projection for solving least squares D Needell, R Zhao, A Zouzias Linear Algebra and its Applications 484, 322-343, 2015 | 70 | 2015 |