World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5826
World Ranking
12982
National Ranking
5237

Swarat Chaudhuri 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 Swarat Chaudhuri 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: 128 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Swarat Chaudhuri 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 Swarat Chaudhuri 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Swarat Chaudhuri is a researcher affiliated with The University of Texas at Austin in the United States. Their work primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Software, and Control and Systems Engineering.

Their research interests cover a range of topics including Formal Methods in Verification, Topic Modeling, Reinforcement Learning in Robotics, Explainable Artificial Intelligence (XAI), Machine Learning and Algorithms, Natural Language Processing Techniques, and Domain Adaptation and Few-Shot Learning.

The following are some of their recent papers:

  • Neurosymbolic Programming, 2021, Foundations and Trends® in Programming Languages
  • Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Bottom-up synthesis of recursive functional programs using angelic execution, 2022, Proceedings of the ACM on Programming Languages
  • CFLOBDDs: Context-Free-Language Ordered Binary Decision Diagrams, 2024, ACM Transactions on Programming Languages and Systems
  • Neurosymbolic Reinforcement Learning with Formally Verified Exploration, 2020, arXiv (Cornell University)

Swarat Chaudhuri has published frequently in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Programming Languages
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Foundations and Trends® in Programming Languages
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

The scientist has collaborated with several frequent co-authors, including:

  • Işıl Dillig
  • Thomas Reps
  • Chris Jermaine
  • Yisong Yue
  • Greg Durrett

In addition to research papers, Swarat Chaudhuri has contributed to book publications, including a title published by Springer Science+Business Media in 2023 named NASA Formal Methods.

Best Publications

  • A study of android application security

    William Enck;Damien Octeau;Patrick McDaniel;Swarat Chaudhuri

  • AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation

    Timon Gehr;Matthew Mirman;Dana Drachsler-Cohen;Petar Tsankov

  • Synthesizing data structure transformations from input-output examples

    John K. Feser;Swarat Chaudhuri;Isil Dillig

  • Incremental Task and Motion Planning: A Constraint-Based Approach

    Neil T. Dantam;Zachary K. Kingston;Swarat Chaudhuri;Lydia E. Kavraki

  • Component-based synthesis of table consolidation and transformation tasks from examples

    Yu Feng;Ruben Martins;Jacob Van Geffen;Isil Dillig

  • Programmatically Interpretable Reinforcement Learning

    Abhinav Verma;Vijayaraghavan Murali;Rishabh Singh;Pushmeet Kohli

  • Proving programs robust

    Swarat Chaudhuri;Sumit Gulwani;Roberto Lublinerman;Sara Navidpour

  • An incremental constraint-based framework for task and motion planning

    Neil T Dantam;Zachary K Kingston;Swarat Chaudhuri;Lydia E Kavraki

  • Continuity analysis of programs

    Swarat Chaudhuri;Sumit Gulwani;Roberto Lublinerman

  • A constraint-based approach to solving games on infinite graphs

    Tewodros Beyene;Swarat Chaudhuri;Corneliu Popeea;Andrey Rybalchenko

  • Continuity and robustness of programs

    Swarat Chaudhuri;Sumit Gulwani;Roberto Lublinerman

  • Subcubic algorithms for recursive state machines

    Swarat Chaudhuri

  • Optimization and abstraction: a synergistic approach for analyzing neural network robustness

    Greg Anderson;Shankara Pailoor;Isil Dillig;Swarat Chaudhuri

  • Neural Sketch Learning for Conditional Program Generation

    Vijayaraghavan Murali;Letao Qi;Swarat Chaudhuri;Chris Jermaine

  • SMT-based synthesis of integrated task and motion plans from plan outlines

    Srinivas Nedunuri;Sailesh Prabhu;Mark Moll;Swarat Chaudhuri

  • Path-based inductive synthesis for program inversion

    Saurabh Srivastava;Sumit Gulwani;Swarat Chaudhuri;Jeffrey S. Foster

  • Languages of nested trees

    Rajeev Alur;Swarat Chaudhuri;P. Madhusudan

  • Bayesian specification learning for finding API usage errors

    Vijayaraghavan Murali;Swarat Chaudhuri;Chris Jermaine

  • Smooth interpretation

    Swarat Chaudhuri;Armando Solar-Lezama

  • Model checking of linearizability of concurrent list implementations

    Pavol Černý;Arjun Radhakrishna;Damien Zufferey;Swarat Chaudhuri

  • Control Regularization for Reduced Variance Reinforcement Learning

    Richard Cheng;Abhinav Verma;Gabor Orosz;Swarat Chaudhuri

  • Imitation-Projected Programmatic Reinforcement Learning

    Abhinav Verma;Hoang Minh Le;Yisong Yue;Swarat Chaudhuri

  • Neurosymbolic Reinforcement Learning with Formally Verified Exploration

    Greg Anderson;Abhinav Verma;Isil Dillig;Swarat Chaudhuri

Frequent Co-Authors

Rajeev Alur
Rajeev Alur University of Pennsylvania
Lydia E. Kavraki
Lydia E. Kavraki Rice University
Isil Dillig
Isil Dillig The University of Texas at Austin
Yisong Yue
Yisong Yue California Institute of Technology
P. Madhusudan
P. Madhusudan University of Illinois at Urbana-Champaign
Moshe Y. Vardi
Moshe Y. Vardi Rice University
Sumit Gulwani
Sumit Gulwani Microsoft (United States)
Thomas Reps
Thomas Reps University of Wisconsin–Madison
Kousha Etessami
Kousha Etessami University of Edinburgh

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