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Researcher · Stanford University · United States

David L. Donoho

David L. Donoho publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Statistics and Probability, on topics such as Image and Signal Denoising Methods, Sparse and Compressive Sensing Techniques and Blind Source Separation Techniques.

ORCID 0000-0003-1830-710X OpenAlex
World rank
#2,678
of 7,710,434 ranked researchers
Rank in United States
#960
of 1,627,098
Works
315
Citations
154k
Citations per work
488.0
h-index
113
i10-index 235Top 0.1% in Computer Vision and Pattern Recognition
David L. Donoho

What does David L. Donoho research?

David L. Donoho's work is mostly in Computer Science (36%), Mathematics (14%), Engineering (13%).

Physical Sciences: 195 works · 61.9% of their workComputer Science: 112 works · 35.5% of their workComputer Vision and Pattern Recognition: 77 works · 24.3% of their workSignal Processing: 19 works · 5.9% of their workArtificial Intelligence: 17 works · 5.3% of their workMathematics: 43 works · 13.7% of their workStatistics and Probability: 28 works · 8.8% of their workApplied Mathematics: 15 works · 4.9% of their workEngineering: 40 works · 12.7% of their workComputational Mechanics: 40 works · 12.7% of their workEverything else: 120 works · 38.1% of their workTHEIR WORKDavid L. Donoho315works
Physical Sciences62%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science11235.5%
    2. Mathematics4313.7%
    3. Engineering4012.7%
  2. Everything else12038.1%
  1. 1Computer Vision and Pattern Recognition24% of their works
  2. 2Computational Mechanics13% of their works
  3. 3Statistics and Probability9% of their works
  4. 4Signal Processing6% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Applied Mathematics5% of their works

Research topics

Which keywords describe David L. Donoho's research?

The keywords of their largest research topics: Sparse Representation, Deep Learning, Wavelet Transform, Image Denoising, Sparse Representations, Compressed Sensing, Signal Recovery and Blind Separation.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Sparse Representation1593 topics
  2. Deep Learning1572 topics
  3. Wavelet Transform1492 topics
  4. Image Denoising1291 topic
  5. Sparse Representations1291 topic
  6. Compressed Sensing971 topic
  7. Signal Recovery971 topic
  8. Blind Separation421 topic
  9. Independent Component Analysis421 topic
  10. Regularization291 topic
  11. Variable Selection291 topic
  12. Image Segmentation281 topic
  13. Medical Image Analysis281 topic
  14. Frames251 topic
  15. Wavelets251 topic
  16. Full-Waveform Tomography201 topic
  17. Image Fusion201 topic
  18. Multispectral201 topic
  19. Seismic Waveform Inversion201 topic

Where does David L. Donoho work?

David L. Donoho's main affiliation in the publication record is Stanford University, United States.

How many publications and citations does David L. Donoho have?

OpenAlex counts 315 works and 153,725 citations for David L. Donoho, an h-index of 113, ranking #2,678 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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