World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
46310
World Ranking
4935
National Ranking
2294

Lawrence K. Saul 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 Lawrence K. Saul 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: 128 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Lawrence K. Saul 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 Lawrence K. Saul 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Lawrence K. Saul is affiliated with the University of California, San Diego in the United States. Their research contributions primarily fall within the field of Computer Science, with specific focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing, and Information Systems.

The main topics addressed in their work include Bayesian Methods and Mixture Models, Gaussian Processes and Bayesian Inference, Face and Expression Recognition, Sparse and Compressive Sensing Techniques, Domain Adaptation and Few-Shot Learning, Statistical Methods and Inference, and Generative Adversarial Networks and Image Synthesis.

Saul has authored several papers, notable among them are:

  • A tractable latent variable model for nonlinear dimensionality reduction, 2020, Proceedings of the National Academy of Sciences
  • A Nonlinear Matrix Decomposition for Mining the Zeros of Sparse Data, 2022, SIAM Journal on Mathematics of Data Science
  • Measuring security practices, 2022, Communications of the ACM
  • Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs, 2024, arXiv (Cornell University)
  • The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference, 2023, arXiv (Cornell University)

Their frequent coauthors include Charles C. Margossian, Chirag Modi, David M. Blei, Diana Cai, and Loucas Pillaud-Vivien.

Saul's publications appear regularly in venues such as arXiv (Cornell University), Proceedings of the National Academy of Sciences, SIAM Journal on Mathematics of Data Science, Communications of the ACM, and Neural Computation.

Best Publications

  • Nonlinear dimensionality reduction by locally linear embedding.

    Sam T. Roweis;Lawrence K. Saul

  • Distance Metric Learning for Large Margin Nearest Neighbor Classification

    Kilian Q. Weinberger;Lawrence K. Saul

  • An introduction to variational methods for graphical models

    Michael I. Jordan;Zoubin Ghahramani;Tommi S. Jaakkola;Lawrence K. Saul

  • Distance Metric Learning for Large Margin Nearest Neighbor Classification

    Kilian Q. Weinberger;John Blitzer;Lawrence K. Saul

  • Unsupervised Learning of Image Manifolds by Semidefinite Programming

    Kilian Q. Weinberger;Lawrence K. Saul

  • Think globally, fit locally: unsupervised learning of low dimensional manifolds

    Lawrence K. Saul;Sam T. Roweis

  • Beyond blacklists: learning to detect malicious web sites from suspicious URLs

    Justin Ma;Lawrence K. Saul;Stefan Savage;Geoffrey M. Voelker

  • Identifying suspicious URLs: an application of large-scale online learning

    Justin Ma;Lawrence K. Saul;Stefan Savage;Geoffrey M. Voelker

  • Learning a kernel matrix for nonlinear dimensionality reduction

    Kilian Q. Weinberger;Fei Sha;Lawrence K. Saul

  • Kernel Methods for Deep Learning

    Youngmin Cho;Lawrence K. Saul

  • Mean field theory for sigmoid belief networks

    Lawrence K. Saul;Tommi Jaakkola;Michael I. Jordan

  • Fast solvers and efficient implementations for distance metric learning

    Kilian Q. Weinberger;Lawrence K. Saul

  • Multiplicative Updates for Nonnegative Quadratic Programming

    Fei Sha;Yuanqing Lin;Lawrence K. Saul;Daniel D. Lee

  • Spectral Methods for Dimensionality Reduction.

    Lawrence K. Saul;Kilian Q. Weinberger;Fei Sha;Jihun Ham

  • Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines

    Fei Sha;Lawrence K. Saul;Daniel D. Lee

  • An introduction to nonlinear dimensionality reduction by maximum variance unfolding

    Killan Q. Weinberger;Lawrence K. Saul

  • Exploiting Tractable Substructures in Intractable Networks

    Lawrence K. Saul;Michael I. Jordan

  • Semisupervised alignment of manifolds.

    Jihun Ham;Daniel D. Lee;Lawrence K. Saul

  • An Introduction to Locally Linear Embedding

    Lawrence K. Saul;Sam T. Roweis

  • Global Coordination of Local Linear Models

    Sam T. Roweis;Lawrence K. Saul;Geoffrey E. Hinton

Frequent Co-Authors

Fei Sha
Fei Sha Facebook (United States)
Kilian Q. Weinberger
Kilian Q. Weinberger Cornell University
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Geoffrey M. Voelker
Geoffrey M. Voelker University of California, San Diego
Stefan Savage
Stefan Savage University of California, San Diego
Jont B. Allen
Jont B. Allen University of Illinois at Urbana-Champaign
Sam T. Roweis
Sam T. Roweis New York University
Fernando Pereira
Fernando Pereira Google (United States)

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