World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
65434
World Ranking
1366
National Ranking
713

Yoram Singer 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 Yoram Singer 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Yoram Singer 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 Yoram Singer 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: 75 D-Index — 90th percentile

90% 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

  • 2010 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the theory and practice of efficient machine learning algorithms.

Overview

Yoram Singer is affiliated with Princeton University in the United States, specializing in computer science with a focus on artificial intelligence and computational theory.

Their research spans several subfields within computer science, including:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Numerical Analysis
  • Computer Graphics and Computer-Aided Design
  • Information Systems

Their main research topics involve:

  • Complexity and Algorithms in Graphs
  • Adversarial Robustness in Machine Learning
  • Stochastic Gradient Optimization Techniques
  • Machine Learning and Algorithms
  • Topic Modeling
  • Mathematical Approximation and Integration
  • Computational Geometry and Mesh Generation

Yoram Singer has a substantial publication record, including papers in the following venues:

  • arXiv (Cornell University) - 9 publications
  • Operations Research - 1 publication
  • Journal of the ACM - 1 publication

Selected recent papers include:

  • "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias," 2020, arXiv (Cornell University)
  • "Maximization of Approximately Submodular Functions," 2024, arXiv (Cornell University)
  • "Tree of Attacks: Jailbreaking Black-Box LLMs Automatically," 2023, arXiv (Cornell University)
  • "An Optimal Approximation for Submodular Maximization Under a Matroid Constraint in the Adaptive Complexity Model," 2021, Operations Research
  • "An Optimal Elimination Algorithm for Learning a Best Arm," 2020, arXiv (Cornell University)

Frequent co-authors of Yoram Singer include:

  • Eric Balkanski
  • Sharon Qian
  • Paul Kassianik
  • Amin Karbasi
  • Aviad Rubinstein

Yoram Singer received recognition as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2010 for contributions to the theory and practice of efficient machine learning algorithms.

Best Publications

  • Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

    John Duchi;Elad Hazan;Yoram Singer

  • Improved boosting algorithms using confidence-rated predictions

    Robert E. Schapire;Yoram Singer

  • Feature-rich part-of-speech tagging with a cyclic dependency network

    Kristina Toutanova;Dan Klein;Christopher D. Manning;Yoram Singer

  • BoosTexter: A Boosting-based Systemfor Text Categorization

    Robert E. Schapire;Yoram Singer

  • An efficient boosting algorithm for combining preferences

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

  • On the algorithmic implementation of multiclass kernel-based vector machines

    Koby Crammer;Yoram Singer

  • Reducing multiclass to binary: a unifying approach for margin classifiers

    Erin L. Allwein;Robert E. Schapire;Yoram Singer

  • Pegasos: primal estimated sub-gradient solver for SVM

    Shai Shalev-Shwartz;Yoram Singer;Nathan Srebro;Andrew Cotter

  • Online Passive-Aggressive Algorithms

    Koby Crammer;Koby Crammer;Ofer Dekel;Joseph Keshet;Shai Shalev-Shwartz

  • Efficient projections onto the l1-ball for learning in high dimensions

    John Duchi;Shai Shalev-Shwartz;Yoram Singer;Tushar Chandra

  • Pegasos: Primal Estimated sub-GrAdient SOlver for SVM

    Shai Shalev-Shwartz;Yoram Singer;Nathan Srebro

  • The Hierarchical Hidden Markov Model: Analysis and Applications

    Shai Fine;Yoram Singer;Naftali Tishby

  • Context-sensitive learning methods for text categorization

    William W. Cohen;Yoram Singer

  • Unsupervised Models for Named Entity Classification

    Michael Collins;Yoram Singer

  • On the Learnability and Design of Output Codes for Multiclass Problems

    Koby Crammer;Yoram Singer

  • Logistic Regression, AdaBoost and Bregman Distances

    Michael Collins;Robert E. Schapire;Yoram Singer

  • Zero-Shot Learning by Convex Combination of Semantic Embeddings

    Mohammad Norouzi;Tomas Mikolov;Samy Bengio;Yoram Singer

  • Train faster, generalize better: stability of stochastic gradient descent

    Moritz Hardt;Benjamin Recht;Yoram Singer

  • Learning to order things

    William W. Cohen;Robert E. Schapire;Yoram Singer

  • Pranking with Ranking

    Koby Crammer;Yoram Singer

  • Ordered landmarks in planning

    Jörg Hoffmann;Julie Porteous;Laura Sebastia

Frequent Co-Authors

Shai Shalev-Shwartz
Shai Shalev-Shwartz Hebrew University of Jerusalem
Ofer Dekel
Ofer Dekel Microsoft (United States)
Robert E. Schapire
Robert E. Schapire Microsoft (United States)
Koby Crammer
Koby Crammer Technion – Israel Institute of Technology
Samy Bengio
Samy Bengio Apple (United States)
Naftali Tishby
Naftali Tishby Hebrew University of Jerusalem
William W. Cohen
William W. Cohen Carnegie Mellon University
Tushar Deepak Chandra
Tushar Deepak Chandra Google (United States)
John C. Duchi
John C. Duchi Stanford University
Manfred K. Warmuth
Manfred K. Warmuth Google (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing Computer Science in the USA opens doors to a wide array of online degrees and professional certifications that are both flexible and career-oriented. Students interested in expanding their skills can explore online electrical engineering courses USA for a strong technical foundation and broader job prospects in engineering fields.

For those looking to boost their resume quickly, there are several easy certifications to get online that are affordable, convenient, and can lead to lucrative positions in IT, data analysis, and cybersecurity. These programs often take only a few weeks or months to complete.

If you're seeking to advance your education rapidly, consider the quickest masters degree online options that can be completed in as little as 12-18 months. Fast-track master's degrees in computer science, data analytics, or business can accelerate your entry into high-demand roles.

When choosing a graduate program, it’s wise to focus on the most valuable masters degrees that employers actively seek. Fields such as computer science, artificial intelligence, and data science continue to offer strong salary potential and excellent job stability.

Best Scientists Citing Yoram Singer

Trending Scientists

Recently Published Articles