Signal recovery from random measurements via orthogonal matching pursuit JA Tropp, AC Gilbert IEEE Transactions on information theory 53 (12), 4655-4666, 2007 | 8756 | 2007 |

CoSaMP: Iterative signal recovery from incomplete and inaccurate samples D Needell, JA Tropp Applied and computational harmonic analysis 26 (3), 301-321, 2009 | 4455 | 2009 |

Greed is good: Algorithmic results for sparse approximation JA Tropp IEEE Transactions on Information theory 50 (10), 2231-2242, 2004 | 3655 | 2004 |

Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions N Halko, PG Martinsson, JA Tropp SIAM review 53 (2), 217-288, 2011 | 2475 | 2011 |

Just relax: Convex programming methods for identifying sparse signals in noise JA Tropp IEEE transactions on information theory 52 (3), 1030-1051, 2006 | 1502* | 2006 |

Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit JA Tropp, AC Gilbert, MJ Strauss Signal processing 86 (3), 572-588, 2006 | 1239 | 2006 |

Computational methods for sparse solution of linear inverse problems JA Tropp, SJ Wright Proceedings of the IEEE 98 (6), 948-958, 2010 | 1119 | 2010 |

User-friendly tail bounds for sums of random matrices JA Tropp Foundations of computational mathematics 12 (4), 389-434, 2012 | 1116 | 2012 |

Beyond Nyquist: Efficient sampling of sparse bandlimited signals JA Tropp, JN Laska, MF Duarte, JK Romberg, RG Baraniuk IEEE transactions on information theory 56 (1), 520-544, 2009 | 1102 | 2009 |

Algorithms for simultaneous sparse approximation. Part II: Convex relaxation JA Tropp Signal Processing 86 (3), 589-602, 2006 | 691 | 2006 |

An introduction to matrix concentration inequalities JA Tropp Foundations and Trends® in Machine Learning 8 (1-2), 1-230, 2015 | 495* | 2015 |

Designing structured tight frames via an alternating projection method JA Tropp, IS Dhillon, RW Heath, T Strohmer IEEE Transactions on information theory 51 (1), 188-209, 2005 | 424 | 2005 |

Living on the edge: Phase transitions in convex programs with random data D Amelunxen, M Lotz, MB McCoy, JA Tropp Information and Inference: A Journal of the IMA 3 (3), 224-294, 2014 | 407* | 2014 |

Random filters for compressive sampling and reconstruction JA Tropp, MB Wakin, MF Duarte, D Baron, RG Baraniuk 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 364 | 2006 |

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 | 325 | 2007 |

Simultaneous sparse approximation via greedy pursuit JA Tropp, AC Gilbert, MJ Strauss Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 280 | 2005 |

On the conditioning of random subdictionaries JA Tropp Applied and Computational Harmonic Analysis 25 (1), 1-24, 2008 | 233 | 2008 |

Improved analysis of the subsampled randomized Hadamard transform JA Tropp Advances in Adaptive Data Analysis 3 (01n02), 115-126, 2011 | 222 | 2011 |

On the existence of equiangular tight frames MA Sustik, JA Tropp, IS Dhillon, RW Heath Jr Linear Algebra and its applications 426 (2-3), 619-635, 2007 | 212 | 2007 |

Factoring nonnegative matrices with linear programs B Recht, C Re, J Tropp, V Bittorf Advances in Neural Information Processing Systems, 1214-1222, 2012 | 209 | 2012 |