World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
11952
World Ranking
3872
National Ranking
1832

David P. Woodruff publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where David P. Woodruff sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 371 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

David P. Woodruff D-index placement in Computer Science in 2026

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

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

David P. Woodruff is affiliated with Carnegie Mellon University in the United States. Their research primarily focuses on computer science, with an extensive body of work spanning various subfields and topics.

The main fields of study for Woodruff include:

  • Computer Science

Within this broad area, their contributions span several subfields:

  • Artificial Intelligence
  • Computational Mechanics
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

Regarding specific research topics, Woodruff has worked extensively on:

  • Stochastic Gradient Optimization Techniques
  • Sparse and Compressive Sensing Techniques
  • Machine Learning and Algorithms
  • Complexity and Algorithms in Graphs
  • Optimization and Search Problems
  • Algorithms and Data Compression
  • Tensor decomposition and applications

Woodruff has authored numerous scientific papers, including recent publications such as:

  • "How to Reduce Dimension With PCA and Random Projections?" (2021), published in IEEE Transactions on Information Theory
  • "A Framework for Adversarially Robust Streaming Algorithms" (2022), published in Journal of the ACM
  • "Tight Bounds for Sketching the Operator Norm, Schatten Norms, and Subspace Embeddings" (2022), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Perfect Lₚ Sampling in a Data Stream" (2021), published in SIAM Journal on Computing
  • "Querying a Matrix through Matrix-Vector Products" (2021), published in ACM Transactions on Algorithms

The scientist frequently collaborates with other researchers, including:

  • Samson Zhou
  • Taisuke Yasuda
  • Praneeth Kacham
  • Honghao Lin
  • Rajesh Jayaram

Their work appears regularly in established venues, with multiple publications found in:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • ACM Transactions on Algorithms
  • Proceedings of the ACM on Management of Data
  • 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)

Best Publications

  • Sketching as a Tool for Numerical Linear Algebra

    David P. Woodruff

  • Low-Rank Approximation and Regression in Input Sparsity Time

    Kenneth L. Clarkson;David P. Woodruff

  • Fast approximation of matrix coherence and statistical leverage

    Petros Drineas;Malik Magdon-Ismail;Michael W. Mahoney;David P. Woodruff

  • Numerical linear algebra in the streaming model

    Kenneth L. Clarkson;David P. Woodruff

  • An optimal algorithm for the distinct elements problem

    Daniel M. Kane;Jelani Nelson;David P. Woodruff

  • Optimal approximations of the frequency moments of data streams

    Piotr Indyk;David Woodruff

  • Optimal space lower bounds for all frequency moments

    David Woodruff

  • Optimal bounds for Johnson-Lindenstrauss transforms and streaming problems with sub-constant error

    T. S. Jayram;David P. Woodruff

  • Lower bounds for sparse recovery

    Khanh Do Ba;Piotr Indyk;Eric Price;David P. Woodruff

  • Optimal CUR Matrix Decompositions

    Christos Boutsidis;David P. Woodruff

  • Tight lower bounds for the distinct elements problem

    P. Indyk;D. Woodruff

  • On the exact space complexity of sketching and streaming small norms

    Daniel M. Kane;Jelani Nelson;David P. Woodruff

  • Frequent Directions: Simple and Deterministic Matrix Sketching

    Mina Ghashami;Edo Liberty;Jeff M. Phillips;David P. Woodruff

  • Sublinear optimization for machine learning

    Kenneth L. Clarkson;Elad Hazan;David P. Woodruff

  • A Geometric Approach to Information-Theoretic Private Information Retrieval

    David Woodruff;Sergey Yekhanin

  • Communication lower bounds for statistical estimation problems via a distributed data processing inequality

    Mark Braverman;Ankit Garg;Tengyu Ma;Huy L. Nguyen

  • 1-pass relative-error Lp-sampling with applications

    Morteza Monemizadeh;David P. Woodruff

  • New Lower Bounds for General Locally Decodable Codes.

    David P. Woodruff

  • Polylogarithmic private approximations and efficient matching

    Piotr Indyk;David Woodruff

  • Fast approximation of matrix coherence and statistical leverage

    Petros Drineas;Malik Magdon-ismail;David Woodruff;Michael W. Mahoney

  • Improved Distributed Principal Component Analysis

    Yingyu Liang;Maria-Florina F Balcan;Vandana Kanchanapally;David Woodruff

Frequent Co-Authors

Kenneth L. Clarkson
Kenneth L. Clarkson IBM (United States)
Zhao Song
Zhao Song Adobe Systems (United States)
Maria-Florina Balcan
Maria-Florina Balcan Carnegie Mellon University
Marten van Dijk
Marten van Dijk University of Connecticut
Petros Drineas
Petros Drineas Purdue University West Lafayette
Yingyu Liang
Yingyu Liang University of Wisconsin–Madison
Christian Sohler
Christian Sohler University of Cologne
Michael W. Mahoney
Michael W. Mahoney University of California, Berkeley
Malik Magdon-Ismail
Malik Magdon-Ismail Rensselaer Polytechnic Institute

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