World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
21212
World Ranking
1862
National Ranking
951

Sanjit A. Seshia 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 Sanjit A. Seshia 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: 361 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Sanjit A. Seshia 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 Sanjit A. Seshia 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: 70 D-Index — 87th percentile

87% 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

  • 2020 - ACM Fellow For contributions to formal verification, inductive synthesis, and cyber-physical systems
  • 2018 - IEEE Fellow For contributions to formal methods for inductive synthesis and algorithmic verification
  • 2008 - Hellman Fellow
  • 2008 - Fellow of Alfred P. Sloan Foundation

Overview

Sanjit A. Seshia is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the field of Computer Science with a focus on several subfields including Artificial Intelligence, Computational Theory and Mathematics, Software, Computer Networks and Communications, and Hardware and Architecture.

The scientist's main topics of work include:

  • Formal Methods in Verification
  • Software Testing and Debugging Techniques
  • Machine Learning and Algorithms
  • Software Reliability and Analysis Research
  • Software Engineering Research
  • Model-Driven Software Engineering Techniques
  • Simulation Techniques and Applications

Seshia has been frequently published in several venues, with significant contributions to:

  • arXiv (Cornell University)
  • Lecture Notes in Computer Science
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Formal Methods in System Design
  • Communications of the ACM

Notable recent publications by Sanjit A. Seshia include:

  • "Toward verified artificial intelligence," 2022, Communications of the ACM
  • "Semantic Adversarial Deep Learning," 2020, IEEE Design and Test

Other papers where Seshia's work is related or co-authored include:

  • "A Review of Single-Source Deep Unsupervised Visual Domain Adaptation," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Scenic: a language for scenario specification and data generation," 2022, Machine Learning
  • "A Review of Single-Source Deep Unsupervised Visual Domain Adaptation," 2020, arXiv (Cornell University)

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

  • Alberto Sangiovanni-Vincentelli
  • Daniel J. Fremont
  • Hazem Torfah
  • Elizabeth Polgreen
  • Sebastian Junges

Seshia has received several awards recognizing their work, including:

  • ACM Fellow in 2020, for contributions to formal verification, inductive synthesis, and cyber-physical systems
  • IEEE Fellow in 2018, for contributions to formal methods for inductive synthesis and algorithmic verification
  • Hellman Fellow in 2008
  • Fellow of Alfred P. Sloan Foundation in 2008

Best Publications

  • Introduction to Embedded Systems - A Cyber-Physical Systems Approach

    Edward Ashford Lee;Sanjit Arunkumar Seshia

  • Semantics-aware malware detection

    M. Christodorescu;S. Jha;S.A. Seshia;D. Song

  • Combinatorial sketching for finite programs

    Armando Solar-Lezama;Liviu Tancau;Rastislav Bodik;Sanjit Seshia

  • Syntax-guided synthesis

    Rajeev Alur;Rastislav Bodik;Garvit Juniwal;Milo M. K. Martin

  • Syntax-Guided Synthesis.

    Rajeev Alur;Rastislav Bodík;Eric Dallal;Dana Fisman

  • Oracle-guided component-based program synthesis

    Susmit Jha;Sumit Gulwani;Sanjit A. Seshia;Ashish Tiwari

  • Planning for Autonomous Cars that Leverage Effects on Human Actions

    Dorsa Sadigh;Shankar Sastry;Sanjit A. Seshia;Anca D. Dragan

  • Model predictive control with signal temporal logic specifications

    Vasumathi Raman;Alexandre Donze;Mehdi Maasoumy;Richard M. Murray

  • Scenic: a language for scenario specification and scene generation

    Daniel J. Fremont;Tommaso Dreossi;Shromona Ghosh;Xiangyu Yue

  • Mining Requirements From Closed-Loop Control Models

    Xiaoqing Jin;Alexandre Donze;Jyotirmoy V. Deshmukh;Sanjit A. Seshia

  • Modeling and verifying systems using a logic of Counter arithmetic with Lambda Expressions and Uninterpreted Functions

    Randal E. Bryant;Shuvendu K. Lahiri;Sanjit A. Seshia

  • A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

    Sicheng Zhao;Xiangyu Yue;Shanghang Zhang;Bo Li

  • Reactive synthesis from signal temporal logic specifications

    Vasumathi Raman;Alexandre Donzé;Dorsa Sadigh;Richard M. Murray

  • Syntax-guided synthesis

    Rajeev Alur;Rastislav Bodik;Garvit Juniwal;Milo M. K. Martin

  • Active preference-based learning of reward functions

    Dorsa Sadigh;Anca D. Dragan;Shankar Sastry;Sanjit A. Seshia

  • Secure State Estimation for Cyber-Physical Systems Under Sensor Attacks: A Satisfiability Modulo Theory Approach

    Yasser Shoukry;Pierluigi Nuzzo;Alberto Puggelli;Alberto L. Sangiovanni-Vincentelli

  • Compositional Falsification of Cyber-Physical Systems with Machine Learning Components.

    Tommaso Dreossi;Alexandre Donzé;Sanjit A. Seshia

  • A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving

    Xiangyu Yue;Bichen Wu;Sanjit A. Seshia;Kurt Keutzer

  • Distributed Real-Time Software for Cyber–Physical Systems

    J. C. Eidson;E. A. Lee;S. Matic;S. A. Seshia

  • Robust Online Monitoring of Signal Temporal Logic

    Jyotirmoy V. Deshmukh;Alexandre Donzé;Shromona Ghosh;Xiaoqing Jin

  • Information gathering actions over human internal state

    Dorsa Sadigh;S. Shankar Sastry;Sanjit A. Seshia;Anca Dragan

  • Towards Verified Artificial Intelligence

    Sanjit A. Seshia;Dorsa Sadigh

Frequent Co-Authors

Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Randal E. Bryant
Randal E. Bryant Carnegie Mellon University
Dorsa Sadigh
Dorsa Sadigh Stanford University
Edward A. Lee
Edward A. Lee University of California, Berkeley
Paulo Tabuada
Paulo Tabuada University of California, Los Angeles
Shankar Sastry
Shankar Sastry University of California, Berkeley
Ashish Tiwari
Ashish Tiwari Microsoft (United States)
Somesh Jha
Somesh Jha University of Wisconsin–Madison
Murat Arcak
Murat Arcak University of California, Berkeley
George J. Pappas
George J. Pappas University of Pennsylvania

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