World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
73059
World Ranking
5450
National Ranking
2483

Yoav Freund 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 Yoav Freund 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: 144 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Yoav Freund 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 Yoav Freund 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2008 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to machine learning including the development of practical boosting algorithms.
  • 2004 - ACM Paris Kanellakis Theory and Practice Award Theory and Practice of Boosting

Overview

Yoav Freund is affiliated with the University of California, San Diego in the United States. Their research primarily falls within the field of Computer Science, with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, and Statistics and Probability. Their interdisciplinary interests also extend to Biophysics and Environmental Engineering.

Their work spans several key topics including:

  • Cell Image Analysis Techniques
  • AI in cancer detection
  • Digital Imaging for Blood Diseases
  • Generative Adversarial Networks and Image Synthesis
  • Medical Image Segmentation Techniques
  • Machine Learning in Healthcare
  • Explainable Artificial Intelligence (XAI)

Among recent papers, Yoav Freund has contributed to a variety of scientific publications, including:

  • CellBoost: A pipeline for machine assisted annotation in neuroanatomy, 2024, AI Open
  • StreaMRAK a streaming multi-resolution adaptive kernel algorithm, 2022, Applied Mathematics and Computation
  • When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint, 2021, arXiv (Cornell University)
  • LO76: Effect of task interruptions training on the quality of simulated ALS, 2020, Canadian Journal of Emergency Medicine
  • Experimental Design for Bathymetry Editing, 2020, arXiv (Cornell University)

Frequent coauthors who have collaborated with Yoav Freund include:

  • Kui Qian
  • David Kleinfeld
  • Beth Friedman
  • Andreas Oslandsbotn
  • Alexander Cloninger

Their publication record shows a pattern of contributions to prominent venues such as arXiv (Cornell University), AI Open, Applied Mathematics and Computation, Canadian Journal of Emergency Medicine, and bioRxiv (Cold Spring Harbor Laboratory).

Yoav Freund has received notable awards, including being named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2008 for significant contributions to machine learning and the development of practical boosting algorithms. Furthermore, they were awarded the ACM Paris Kanellakis Theory and Practice Award in 2004 related to the theory and practice of boosting.

Best Publications

  • A Decision Theoretic Generalization of On-Line Learning and an Application to Boosting

    Y. Freund;R. Schapire

  • Experiments with a new boosting algorithm

    Yoav Freund;Robert E. Schapire

  • A Short Introduction to Boosting

    Yoav Freund;Robert E. Schapire

  • Boosting the margin: a new explanation for the effectiveness of voting methods

    Robert E. Schapire;Yoav Freund;Peter Bartlett;Wee Sun Lee

  • An efficient boosting algorithm for combining preferences

    Yoav Freund;Raj Iyer;Robert E. Schapire;Yoram Singer

  • Boosting a weak learning algorithm by majority

    Yoav Freund

  • The Nonstochastic Multiarmed Bandit Problem

    Peter Auer;Nicolò Cesa-Bianchi;Yoav Freund;Robert E. Schapire

  • Large margin classification using the perceptron algorithm

    Yoav Freund;Robert E. Schapire

  • Selective Sampling Using the Query by Committee Algorithm

    Yoav Freund;H. Sebastian Seung;Eli Shamir;Naftali Tishby

  • The Alternating Decision Tree Learning Algorithm

    Yoav Freund;Llew Mason

  • Boosting: Foundations and Algorithms

    Robert E. Schapire;Yoav Freund

  • Gambling in a rigged casino: The adversarial multi-armed bandit problem

    P. Auer;N. Cesa-Bianchi;Y. Freund;R. Schapire

  • How to use expert advice

    Nicolò Cesa-Bianchi;Yoav Freund;David Haussler;David P. Helmbold

  • Boosting the margin: A new explanation for the effectiveness of voting methods

    Robert E. Schapire;Yoav Freund;Peter Barlett;Wee Sun Lee

  • Adaptive game playing using multiplicative weights

    Yoav Freund;Robert E. Schapire

  • An Adaptive Version of the Boost by Majority Algorithm

    Yoav Freund

  • Game theory, on-line prediction and boosting

    Yoav Freund;Robert E. Schapire

  • Random projection trees and low dimensional manifolds

    Sanjoy Dasgupta;Yoav Freund

  • Unsupervised learning of distributions on binary vectors using two layer networks

    Yoav Freund;David Haussler

  • How to use expert advice

    Nicolò Cesa-Bianchi;Yoav Freund;David P. Helmbold;David Haussler

  • Boosting

    Unknown

Frequent Co-Authors

Robert E. Schapire
Robert E. Schapire Microsoft (United States)
Christina S. Leslie
Christina S. Leslie Memorial Sloan Kettering Cancer Center
Sanjoy Dasgupta
Sanjoy Dasgupta University of California, San Diego
Yishay Mansour
Yishay Mansour Tel Aviv University
Anshul Kundaje
Anshul Kundaje Stanford University
Nicolò Cesa-Bianchi
Nicolò Cesa-Bianchi University of Milan
Peter Auer
Peter Auer University of Leoben
Kamalika Chaudhuri
Kamalika Chaudhuri University of California, San Diego
David Kleinfeld
David Kleinfeld University of California, San Diego
Daniel Hsu
Daniel Hsu Columbia University

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