World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
12342
World Ranking
7049
National Ranking
3094

Clark Barrett 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 Clark Barrett 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: 199 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Clark Barrett 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 Clark Barrett 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: 45 D-Index — 51st percentile

51% 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

  • 2014 - ACM Distinguished Member

Overview

Clark Barrett is affiliated with Stanford University in the United States. Their research primarily spans the field of Computer Science with a substantial focus on Artificial Intelligence, Computational Theory and Mathematics, Software, Hardware and Architecture, and Electrical and Electronic Engineering.

The main topics of their work include:

  • Formal Methods in Verification
  • Logic, programming, and type systems
  • Adversarial Robustness in Machine Learning
  • Software Testing and Debugging Techniques
  • Explainable Artificial Intelligence (XAI)
  • Security and Verification in Computing
  • Advanced Neural Network Applications

Barrett has a significant number of recent papers published across varied venues. Some of these include:

  • "FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU," 2023, arXiv (Cornell University)
  • "Reluplex: a calculus for reasoning about deep neural networks," 2021, Formal Methods in System Design
  • "Identifying and Mitigating the Security Risks of Generative AI," 2023, Foundations and Trends® in Privacy and Security
  • "AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers," 2022, ACM Transactions on Embedded Computing Systems
  • "H₂O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models," 2023, arXiv (Cornell University)

Frequent publication venues where Barrett's work appears include:

  • arXiv (Cornell University)
  • Journal of Automated Reasoning
  • Lecture Notes in Computer Science
  • Formal Methods in System Design
  • EPiC Series in Computing

Within collaborative research, Barrett has worked notably with several coauthors such as:

  • Cesare Tinelli
  • Yoni Zohar
  • Haoze Wu
  • Andrew Reynolds
  • Guy Katz

In addition to journal and conference publications, Barrett has also contributed to academic literature as an author of a book titled Algorithms for Verifying Deep Neural Networks, published by Now Publishers in 2021.

Their contributions have been recognized with the award of ACM Distinguished Member in 2014.

Best Publications

  • Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

    Guy Katz;Clark W. Barrett;David L. Dill;Kyle Julian

  • Satisfiability Modulo Theories

    Clark W. Barrett;Cesare Tinelli

  • The SMT-LIB Standard Version 2.0

    Clark Barrett;Aaron Stump;Cesare Tinelli

  • cvc5: A Versatile and Industrial-Strength SMT Solver

    Unknown

  • The Marabou Framework for Verification and Analysis of Deep Neural Networks

    Guy Katz;Derek A. Huang;Duligur Ibeling;Kyle Julian

  • CVC Lite: A new implementation of the cooperating validity checker: Category B

    Clark W. Barrett;Sergey Berezin

  • CVC: A Cooperating Validity Checker

    Aaron Stump;Clark W. Barrett;David L. Dill

  • Validity Checking for Combinations of Theories with Equality

    Clark W. Barrett;David L. Dill;Jeremy R. Levitt

  • Checking Satisfiability of First-Order Formulas by Incremental Translation to SAT

    Clark W. Barrett;David L. Dill;Aaron Stump

  • A decision procedure for an extensional theory of arrays

    A. Stump;C.W. Barrett;D.L. Dill;J. Levitt

  • A decision procedure for bit-vector arithmetic

    Clark W. Barrett;David L. Dill;Jeremy R. Levitt

  • A DPLL(T) Theory Solver for a Theory of Strings and Regular Expressions

    Tianyi Liang;Andrew Reynolds;Cesare Tinelli;Clark Barrett

  • Counterexample-Guided Quantifier Instantiation for Synthesis in SMT

    Andrew Reynolds;Morgan Deters;Viktor Kuncak;Cesare Tinelli

  • SMT-COMP: satisfiability modulo theories competition

    Clark Barrett;Leonardo de Moura;Aaron Stump

  • Algorithms for Verifying Deep Neural Networks

    Changliu Liu;Tomer Arnon;Christopher Lazarus;Christopher A. Strong

  • Splitting on demand in SAT modulo theories

    Clark Barrett;Robert Nieuwenhuis;Albert Oliveras;Cesare Tinelli

  • Provably Minimally-Distorted Adversarial Examples

    Nicholas Carlini;Guy Katz;Clark Barrett;David L. Dill

  • An industrially effective environment for formal hardware verification

    C.-J.H. Seger;R.B. Jones;J.W. O'Leary;T. Melham

  • Solving quantified verification conditions using satisfiability modulo theories

    Yeting Ge;Clark Barrett;Cesare Tinelli

  • Towards Proving the Adversarial Robustness of Deep Neural Networks

    Guy Katz;Clark W. Barrett;David L. Dill;Kyle Julian

  • 6 Years of SMT-COMP

    Clark Barrett;Morgan Deters;Leonardo Moura;Albert Oliveras

Frequent Co-Authors

Cesare Tinelli
Cesare Tinelli University of Iowa
David L. Dill
David L. Dill Stanford University
Mykel J. Kochenderfer
Mykel J. Kochenderfer Stanford University
Leonardo de Moura
Leonardo de Moura Microsoft (United States)
Pat Hanrahan
Pat Hanrahan Stanford University
Lenore D. Zuck
Lenore D. Zuck University of Illinois at Chicago
Mark Horowitz
Mark Horowitz Stanford University
Corina S. Pasareanu
Corina S. Pasareanu Carnegie Mellon University
Amir Pnueli
Amir Pnueli Weizmann Institute of Science
Nicholas Carlini
Nicholas Carlini Google (United States)

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