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2026
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2026

D-Index & Metrics

Computer Science

D-Index
122
Citations
187498
World Ranking
132
National Ranking
77

Mathematics

D-Index
120
Citations
182723
World Ranking
13
National Ranking
8

David L. Donoho publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where David L. Donoho sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 243 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

David L. Donoho D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where David L. Donoho sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 120 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2016 - Samuel S. Wilks Memorial Award, American Statistical Association (ASA)
  • 2013 - Fellow of the American Mathematical Society
  • 2010 - Norbert Wiener Prize in Applied Mathematics
  • 2009 - SIAM Fellow For contributions to theoretical and computational statistics, signal processing and harmonic analysis.
  • 2009 - Academie des sciences, France
  • 2001 - John von Neumann Lecturer
  • 1998 - Member of the National Academy of Sciences
  • 1997 - Wald Memorial Lecturer
  • 1994 - COPSS Presidents' Award
  • 1992 - Fellow of the American Academy of Arts and Sciences
  • 1991 - Fellow of the MacArthur Foundation

Overview

David L. Donoho is affiliated with Stanford University in the United States. Their research spans multiple fields, notably Computer Science and Biochemistry, Genetics and Molecular Biology. Within these areas, the work focuses on subfields such as Artificial Intelligence, Molecular Biology, Statistics and Probability, Computational Mechanics, and Biophysics.

The primary topics of Donoho's research include:

  • Single-cell and spatial transcriptomics
  • Sparse and Compressive Sensing Techniques
  • Bayesian Methods and Mixture Models
  • Gene expression and cancer classification
  • Cell Image Analysis Techniques
  • Statistical Methods and Inference
  • Adversarial Robustness in Machine Learning

Frequent collaborators include:

  • Vardan Papyan
  • X. Y. Han
  • Rong Ma
  • Matan Gavish
  • Alon Kipnis

Donoho has published extensively in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the National Academy of Sciences
  • Harvard Data Science Review
  • The Annals of Statistics
  • bioRxiv (Cold Spring Harbor Laboratory)

Their recent publications include:

  • Data Science at the Singularity, 2024, Harvard Data Science Review
  • ScreeNOT: Exact MSE-optimal singular value thresholding in correlated noise, 2023, The Annals of Statistics
  • Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path, 2021, arXiv (Cornell University)
  • Prevalence of neural collapse during the terminal phase of deep learning training, 2020, Proceedings of the National Academy of Sciences
  • The science of deep learning, 2020, Proceedings of the National Academy of Sciences

Awards and honors received by Donoho include:

  • Samuel S. Wilks Memorial Award, American Statistical Association (ASA), 2016
  • Fellow of the American Mathematical Society, 2013
  • Norbert Wiener Prize in Applied Mathematics, 2010
  • Academie des sciences, France, 2009
  • SIAM Fellow, 2009, recognized for contributions to theoretical and computational statistics, signal processing and harmonic analysis
  • John von Neumann Lecturer, 2001
  • Member of the National Academy of Sciences, 1998
  • Wald Memorial Lecturer, 1997
  • COPSS Presidents' Award, 1994
  • Fellow of the American Academy of Arts and Sciences, 1992
  • Fellow of the MacArthur Foundation, 1991

Best Publications

  • De-noising by soft-thresholding

    D.L. Donoho

  • Atomic Decomposition by Basis Pursuit

    Scott Shaobing Chen;David L. Donoho;Michael A. Saunders

  • Ideal spatial adaptation by wavelet shrinkage

    David L. Donoho;Jain M. Johnstone

  • Atomic Decomposition by Basis Pursuit

    Scott Shaobing Chen;David L. Donoho;Michael A. Saunders

  • Sparse MRI: The application of compressed sensing for rapid MR imaging.

    Michael Lustig;David Donoho;John M. Pauly

  • Adapting to Unknown Smoothness via Wavelet Shrinkage

    David L. Donoho;Iain M. Johnstone

  • Compressed sensing

    Unknown

  • For most large underdetermined systems of linear equations the minimal 1-norm solution is also the sparsest solution

    David L. Donoho

  • Optimally sparse representation in general (nonorthogonal) dictionaries via 1 minimization

    David L. Donoho;Michael Elad

  • Fast Discrete Curvelet Transforms

    Emmanuel J. Candès;Laurent Demanet;David L. Donoho;Lexing Ying

  • The curvelet transform for image denoising

    Jean-Luc Starck;E.J. Candes;D.L. Donoho

  • Translation-Invariant De-Noising

    R. R. Coifman;D. L. Donoho

  • Wavelet Shrinkage: Asymptopia?

    David L. Donoho;Iain M. Johnstone;Gérard Kerkyacharian;Dominique Picard

  • Stable recovery of sparse overcomplete representations in the presence of noise

    D.L. Donoho;M. Elad;V.N. Temlyakov

  • Compressed Sensing MRI

    M. Lustig;D.L. Donoho;J.M. Santos;J.M. Pauly

  • From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

    Alfred M. Bruckstein;David L. Donoho;Michael Elad

  • Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit

    D. L. Donoho;Y. Tsaig;I. Drori;J-L Starck

  • Message-passing algorithms for compressed sensing

    David L. Donoho;Arian Maleki;Andrea Montanari

  • Uncertainty principles and ideal atomic decomposition

    D.L. Donoho;X. Huo

  • Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges

    Emmanuel J. Candes;David L. Donoho

  • The curvelet transform for image denoising

    E. Candes

Frequent Co-Authors

Iain M. Johnstone
Iain M. Johnstone Stanford University
Jean-Luc Starck
Jean-Luc Starck University of Paris-Saclay
Emmanuel J. Candès
Emmanuel J. Candès Stanford University
Michael Elad
Michael Elad Technion – Israel Institute of Technology
John M. Pauly
John M. Pauly Stanford University
Amir Averbuch
Amir Averbuch Tel Aviv University
Ronald R. Coifman
Ronald R. Coifman Yale University
Gitta Kutyniok
Gitta Kutyniok Ludwig-Maximilians-Universität München
Michael Lustig
Michael Lustig University of California, Berkeley
Dominique Picard
Dominique Picard Université Paris Cité

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