World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
8625
World Ranking
4659
National Ranking
2162

Ryan O'Donnell 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 Ryan O'Donnell 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: 202 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Ryan O'Donnell 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 Ryan O'Donnell 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: 54 D-Index — 69th percentile

69% 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

  • 2009 - Fellow of Alfred P. Sloan Foundation

Overview

Ryan O'Donnell is a researcher affiliated with Carnegie Mellon University in the United States. Their work spans the fields of computer science and mathematics, with a significant focus on artificial intelligence and computational theory, as well as contributions to statistics, probability, and engineering subfields.

The scientist's research topics include quantum computing algorithms and architecture, quantum information and cryptography, machine learning and algorithms, complexity and algorithms in graphs, Markov chains and Monte Carlo methods, mathematical approximation and integration, as well as random matrices and applications.

Frequent co-authors of Ryan O'Donnell include Robin Kothari, Rocco A. Servedio, Costin Bădescu, Pedro Paredes, and R. Venkateswaran.

Major publication venues featuring O'Donnell's work comprise:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Theory of Computing
  • Communications in Mathematical Physics
  • Journal of Health Organization and Management

Selected recent papers authored by Ryan O'Donnell include:

  • Locally Covert Learning, 2023, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Quantum Spectrum Testing, 2021, Communications in Mathematical Physics

Ryan O'Donnell received the Fellow of Alfred P. Sloan Foundation award in 2009.

Best Publications

  • Analysis of Boolean Functions

    Ryan O'Donnell

  • Optimal Inapproximability Results for MAX-CUT and Other 2-Variable CSPs?

    Subhash Khot;Guy Kindler;Elchanan Mossel;Ryan O’Donnell

  • Noise stability of functions with low influences: Invariance and optimality

    Elchanan Mossel;Ryan O’Donnell;Krzysztof Oleszkiewicz

  • Learning intersections and thresholds of halfspaces

    A. R. Klivans;R. O'Donnell;Rocco A. Servedio

  • Efficient quantum tomography II

    Ryan O'Donnell;John Wright

  • Noise stability of functions with low influences: Invariance and optimality

    E. Mossel;R. O'Donnell;K. Oleszkiewicz

  • Learning functions of k relevant variables

    Elchanan Mossel;Ryan O'Donnell;Rocco A. Servedio

  • Learning juntas

    Elchanan Mossel;Ryan O'Donnell;Rocco P. Servedio

  • Optimal inapproximability results for MAX-CUT and other 2-variable CSPs?

    S. Khot;G. Kindler;E. Mossel;R. O'Donnell

  • Some topics in analysis of boolean functions

    Ryan O'Donnell

  • Every decision tree has an influential variable

    R. O'Donnell;M. Saks;O. Schramm;R.A. Servedio

  • Hardness amplification within NP

    Ryan O'Donnell

  • Learning Monotone Decision Trees in Polynomial Time

    Ryan O'Donnell;Rocco A. Servedio

  • Non-interactive correlation distillation, inhomogeneous Markov chains, and the reverse Bonami-Beckner inequality

    Elchanan Mossel;Ryan O'Donnell;Oded Regev;Jeffrey E. Steif

  • Optimal Lower Bounds for Locality-Sensitive Hashing (Except When q is Tiny)

    Ryan O’Donnell;Yi Wu;Yuan Zhou

  • Sum of squares lower bounds for refuting any CSP

    Pravesh K. Kothari;Ryuhei Mori;Ryan O'Donnell;David Witmer

  • Testing Halfspaces

    Kevin Matulef;Ryan O'Donnell;Ronitt Rubinfeld;Rocco A. Servedio

  • Learning Mixtures of Product Distributions over Discrete Domains

    Jon Feldman;Ryan O'Donnell;Rocco A. Servedio

  • Testing Fourier Dimensionality and Sparsity

    Parikshit Gopalan;Ryan O'Donnell;Rocco A. Servedio;Amir Shpilka

  • Learning Geometric Concepts via Gaussian Surface Area

    A.R. Klivans;R. O'Donnell;R.A. Servedio

  • Fiber bundle codes: breaking the n1/2 polylog(n) barrier for Quantum LDPC codes

    Matthew B. Hastings;Jeongwan Haah;Ryan O'Donnell

Frequent Co-Authors

Rocco A. Servedio
Rocco A. Servedio Columbia University
Subhash Khot
Subhash Khot Courant Institute of Mathematical Sciences
Oded Regev
Oded Regev Courant Institute of Mathematical Sciences
Luca Trevisan
Luca Trevisan Bocconi University
Jon Feldman
Jon Feldman Google (United States)
Ilias Diakonikolas
Ilias Diakonikolas University of Wisconsin–Madison
Béla Bollobás
Béla Bollobás University of Memphis

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

Exploring online degrees opens doors to a variety of rewarding career pathways in computer science. For those seeking a quick entry into tech fields, an online associate's degree offers a flexible and affordable way to gain fundamental knowledge and skills. This path is ideal if you want to start working sooner or transfer credits toward a bachelor's degree later.

If advancing your qualifications is a goal, consider one of the shortest master degree programs. These accelerated options allow you to fast-track your education without lengthy time commitments. Choosing the right specialization is crucial—reviewing the what masters program should i do list can help you identify high-demand fields such as data science, cybersecurity, and artificial intelligence.

Finally, for immediate skills enhancement, look into certifications that pay well. These credentials offer practical expertise in specific technologies or software, boosting your resume and salary potential without a multi-year commitment.

Best Scientists Citing Ryan O'Donnell

Trending Scientists

Recently Published Articles