| Compressed sensing DL Donoho IEEE Transactions on information theory 52 (4), 1289-1306, 2006 | 35325 | 2006 |
| Ideal spatial adaptation by wavelet shrinkage DL Donoho, IM Johnstone biometrika 81 (3), 425-455, 1994 | 17084* | 1994 |
| De-noising by soft-thresholding DL Donoho IEEE transactions on information theory 41 (3), 613-627, 1995 | 15273 | 1995 |
| Atomic decomposition by basis pursuit SS Chen, DL Donoho, MA Saunders SIAM review 43 (1), 129-159, 2001 | 14512 | 2001 |
| Sparse MRI: The application of compressed sensing for rapid MR imaging M Lustig, D Donoho, JM Pauly Magnetic Resonance in Medicine: An Official Journal of the International …, 2007 | 8404 | 2007 |
| For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution DL Donoho Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2006 | 3954* | 2006 |
| Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization DL Donoho, M Elad Proceedings of the National Academy of Sciences 100 (5), 2197-2202, 2003 | 3777 | 2003 |
| Fast discrete curvelet transforms E Candes, L Demanet, D Donoho, L Ying multiscale modeling & simulation 5 (3), 861-899, 2006 | 3677 | 2006 |
| The curvelet transform for image denoising JL Starck, EJ Candès, DL Donoho IEEE Transactions on image processing 11 (6), 670-684, 2002 | 3407 | 2002 |
| Translation-invariant de-noising RR Coifman, DL Donoho Wavelets and statistics, 125-150, 1995 | 3341 | 1995 |
| Wavelet shrinkage: asymptopia? DL Donoho, IM Johnstone, G Kerkyacharian, D Picard Journal of the Royal Statistical Society: Series B (Methodological) 57 (2 …, 1995 | 2893 | 1995 |
| Stable recovery of sparse overcomplete representations in the presence of noise DL Donoho, M Elad, VN Temlyakov IEEE Transactions on information theory 52 (1), 6-18, 2005 | 2829 | 2005 |
| Compressed sensing MRI M Lustig, DL Donoho, JM Santos, JM Pauly IEEE signal processing magazine 25 (2), 72-82, 2008 | 2749 | 2008 |
| From sparse solutions of systems of equations to sparse modeling of signals and images AM Bruckstein, DL Donoho, M Elad SIAM review 51 (1), 34-81, 2009 | 2728 | 2009 |
| Curvelets: A surprisingly effective nonadaptive representation for objects with edges EJ Candes, DL Donoho Department of Statistics, Stanford University, 1999 | 2587 | 1999 |
| Uncertainty principles and ideal atomic decomposition DL Donoho, X Huo IEEE transactions on information theory 47 (7), 2845-2862, 2001 | 2547 | 2001 |
| Message-passing algorithms for compressed sensing DL Donoho, A Maleki, A Montanari Proceedings of the National Academy of Sciences 106 (45), 18914-18919, 2009 | 2501 | 2009 |
| Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data DL Donoho, C Grimes Proceedings of the National Academy of Sciences 100 (10), 5591-5596, 2003 | 2253 | 2003 |
| New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities EJ Candès, DL Donoho Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2004 | 2243 | 2004 |
| High-dimensional data analysis: The curses and blessings of dimensionality DL Donoho AMS math challenges lecture 1 (2000), 32, 2000 | 1686 | 2000 |
