World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
14446
World Ranking
2919
National Ranking
1436

Toniann Pitassi 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 Toniann Pitassi 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Toniann Pitassi 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 Toniann Pitassi 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: 62 D-Index — 80th percentile

80% 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

  • 2018 - ACM Fellow For contributions to research and education in the fields of computational and proof complexity

Overview

Toniann Pitassi is affiliated with Columbia University in the United States and focuses primarily on computer science research. Their work spans several subfields, including artificial intelligence, computational theory and mathematics, computer networks and communications, statistics and probability, and control and systems engineering.

The scientist's research topics are diverse, encompassing complexity and algorithms in graphs, logic, reasoning, and knowledge, machine learning and algorithms, formal methods in verification, cryptography and data security, constraint satisfaction and optimization, and advanced graph theory research.

Toniann Pitassi has an extensive record of publications. Among recent papers are:

  • "Size and Depth Separation in Approximating Benign Functions with Neural Networks," 2021, arXiv (Cornell University)
  • "Random \( \Theta (\log n) \) -CNFs are Hard for Cutting Planes," 2022, Journal of the ACM
  • "On the Power and Limitations of Branch and Cut," 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "On the Pseudo-Deterministic Query Complexity of NP Search Problems," 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Theoretical bounds on estimation error for meta-learning," 2020, arXiv (Cornell University)

The publication venues where Toniann Pitassi frequently appears include:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Computational Complexity
  • Journal of the ACM
  • SIAM Journal on Computing

Collaborative work is a significant aspect of Toniann Pitassi's research, with frequent coauthors including:

  • Noah Fleming
  • Robert Robere
  • Richard S. Zemel
  • Or Meir
  • Russell Impagliazzo

In 2018, Toniann Pitassi was recognized as an ACM Fellow for contributions to research and education in the fields of computational and proof complexity.

Best Publications

  • Fairness through awareness

    Cynthia Dwork;Moritz Hardt;Toniann Pitassi;Omer Reingold

  • Differential privacy under continual observation

    Cynthia Dwork;Moni Naor;Toniann Pitassi;Guy N. Rothblum

  • Learning Adversarially Fair and Transferable Representations

    David Madras;Elliot Creager;Toniann Pitassi;Richard S. Zemel

  • The reusable holdout: Preserving validity in adaptive data analysis

    Cynthia Dwork;Vitaly Feldman;Moritz Hardt;Toniann Pitassi

  • Lower bounds for cutting planes proofs with small coefficients

    Maria Luisa Bonet;Toniann Pitassi;Ran Raz

  • Preserving Statistical Validity in Adaptive Data Analysis

    Cynthia Dwork;Vitaly Feldman;Moritz Hardt;Toniann Pitassi

  • Combining Component Caching and Clause Learning for Effective Model Counting.

    Tian Sang;Fahiem Bacchus;Paul Beame;Henry A. Kautz

  • The Limits of Two-Party Differential Privacy.

    Andrew McGregor;Ilya Mironov;Toniann Pitassi;Omer Reingold

  • Deterministic Communication vs. Partition Number

    Mika Göös;Toniann Pitassi;Thomas Watson

  • Simplified and improved resolution lower bounds

    P. Beame;T. Pitassi

  • Propositional proof complexity: past, present, and future

    Paul Beame;Toniann Pitassi

  • Exponential lower bounds for the pigeonhole principle

    Toniann Pitassi;Paul Beame;Russell Impagliazzo

  • The Relative Complexity of NP Search Problems

    Paul Beame;Stephen Cook;Jeff Edmonds;Russell Impagliazzo

  • Flexibly Fair Representation Learning by Disentanglement

    Elliot Creager;David Madras;Jörn-Henrik Jacobsen;Marissa A. Weis

  • Pan-Private Streaming Algorithms

    Cynthia Dwork;Moni Naor;Toniann Pitassi;Guy N. Rothblum

  • Stochastic Boolean Satisfiability

    Michael L. Littman;Stephen M. Majercik;Toniann Pitassi

  • Generalization in adaptive data analysis and holdout reuse

    Cynthia Dwork;Vitaly Feldman;Moritz Hardt;Toniann Pitassi

  • Algorithms and complexity results for #SAT and Bayesian inference

    F. Bacchus;S. Dalmao;T. Pitassi

  • Rank Bounds and Integrality Gaps for Cutting Planes Procedures

    Joshua Buresh-Oppenheim;Nicola Galesi;Shlomo Hoory;Avner Magen

  • Lower Bounds on Hilbert's Nullstellensatz and Propositional Proofs

    Paul Beame;Russell Impagliazzo;Jan Krajíček;Toniann Pitassi

  • Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer

    David Madras;Toniann Pitassi;Richard S. Zemel

  • An exponential separation between the parity principle and the pigeonhole principle

    Paul Beame;Toniann Pitassi

Frequent Co-Authors

Paul Beame
Paul Beame University of Washington
Russell Impagliazzo
Russell Impagliazzo University of California, San Diego
Richard S. Zemel
Richard S. Zemel University of Toronto
Stephen A. Cook
Stephen A. Cook University of Toronto
Samuel R. Buss
Samuel R. Buss University of California, San Diego
Cynthia Dwork
Cynthia Dwork Harvard University
Omer Reingold
Omer Reingold Stanford University
Vitaly Feldman
Vitaly Feldman Apple (United States)
Moritz Hardt
Moritz Hardt Max Planck Institute for Intelligent Systems
Ran Raz
Ran Raz Princeton University

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