Nonnegative matrices in the mathematical sciences A Berman, RJ Plemmons Society for Industrial and Applied Mathematics, 1994 | 10060 | 1994 |

Algorithms and applications for approximate nonnegative matrix factorization MW Berry, M Browne, AN Langville, VP Pauca, RJ Plemmons Computational statistics & data analysis 52 (1), 155-173, 2007 | 1823 | 2007 |

Document clustering using nonnegative matrix factorization F Shahnaz, MW Berry, VP Pauca, RJ Plemmons Information Processing & Management 42 (2), 373-386, 2006 | 777 | 2006 |

Nonnegative matrix factorization for spectral data analysis VP Pauca, J Piper, RJ Plemmons Linear algebra and its applications 416 (1), 29-47, 2006 | 696 | 2006 |

Nonnegative matrices in dynamic systems A Berman, M Neumann, RJ Plemmons, RJ Stern Wiley-Interscience, 1989 | 543 | 1989 |

M-matrix characterizations. I—nonsingular M-matrices RJ Plemmons Linear Algebra and its applications 18 (2), 175-188, 1977 | 482 | 1977 |

Text mining using non-negative matrix factorizations VP Pauca, F Shahnaz, MW Berry, RJ Plemmons Proceedings of the 2004 SIAM international conference on data mining, 452-456, 2004 | 399 | 2004 |

Parallel algorithms for dense linear algebra computations KA Gallivan, RJ Plemmons, AH Sameh SIAM review 32 (1), 54-135, 1990 | 316 | 1990 |

Nonnegativity constraints in numerical analysis D Chen, RJ Plemmons The birth of numerical analysis, 109-139, 2010 | 284 | 2010 |

Convergence of parallel multisplitting iterative methods for M-matrices M Neumann, RJ Plemmons Linear algebra and its applications 88, 559-573, 1987 | 237 | 1987 |

Structured low rank approximation MT Chu, RE Funderlic, RJ Plemmons Linear algebra and its applications 366, 157-172, 2003 | 212 | 2003 |

Optimality, computation, and interpretation of nonnegative matrix factorizations M Chu, F Diele, R Plemmons, S Ragni SIAM Journal on Matrix Analysis 7, 11-20, 2004 | 193 | 2004 |

Positive diagonal solutions to the Lyapunov equations GP Barker, A Berman, RJ Plemmons Linear and Multilinear Algebra 5 (4), 249-256, 1978 | 187 | 1978 |

Preconditioned iterative regularization for ill-posed problems M Hanke, J Nagy, R Plemmons | 179 | 1992 |

Deblurring and sparse unmixing for hyperspectral images XL Zhao, F Wang, TZ Huang, MK Ng, RJ Plemmons IEEE Transactions on Geoscience and Remote Sensing 51 (7), 4045-4058, 2013 | 172 | 2013 |

Cones and iterative methods for best least squares solutions of linear systems A Berman, RJ Plemmons SIAM Journal on Numerical Analysis 11 (1), 145-154, 1974 | 151 | 1974 |

Generalized inverses of certain Toeplitz matrices RE Cline, RJ Plemmons, G Worm Linear Algebra and Its Applications 8 (1), 25-33, 1974 | 143 | 1974 |

FFT-based preconditioners for Toeplitz-block least squares problems RH Chan, JG Nagy, RJ Plemmons SIAM journal on numerical analysis 30 (6), 1740-1768, 1993 | 141 | 1993 |

Iterative image restoration using approximate inverse preconditioning JG Nagy, RJ Plemmons, TC Torgersen IEEE Transactions on Image Processing 5 (7), 1151-1162, 1996 | 140 | 1996 |

Least squares modifications with inverse factorizations: parallel implications CT Pan, RJ Plemmons Advances in Parallel Computing 1, 109-127, 1990 | 136 | 1990 |