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Computer Science
USA
2026
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Mathematics
USA
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

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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