World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
5501
World Ranking
9416
National Ranking
3986

Suresh Jagannathan 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 Suresh Jagannathan 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 212 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Suresh Jagannathan 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 Suresh Jagannathan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Suresh Jagannathan is affiliated with Purdue University West Lafayette in the United States. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Software, and Computer Networks and Communications.

The scientist's work covers several main research topics, including:

  • Formal Methods in Verification
  • Reinforcement Learning in Robotics
  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Adversarial Robustness in Machine Learning
  • Logic, Programming, and Type Systems
  • Natural Language Processing Techniques

Suresh Jagannathan has published extensively, with a notable presence in venues such as arXiv (Cornell University), Proceedings of the ACM on Programming Languages, IEEE Robotics and Automation Letters, the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), and the International Journal of Adaptive Control and Signal Processing.

Selected recent papers include:

  • Model-free Neural Lyapunov Control for Safe Robot Navigation, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks, 2020, reposiTUm (TU Wien)
  • Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning, 2021, arXiv (Cornell University)
  • Covering All the Bases: Type-Based Verification of Test Input Generators, 2023, Proceedings of the ACM on Programming Languages
  • Specification-guided component-based synthesis from effectful libraries, 2022, Proceedings of the ACM on Programming Languages

The scientist frequently collaborates with several coauthors, including:

  • Joe Eappen
  • Zikang Xiong
  • Benjamin Delaware
  • Z. Zhou
  • Ashish Mishra

Best Publications

  • Software architecture for control of highly parallel computer systems

    Suresh Jagannathan;James F. Philbin

  • Improving duplicate elimination in storage systems

    Deepak R. Bobbarjung;Suresh Jagannathan;Cezary Dubnicki

  • Safe futures for Java

    Adam Welc;Suresh Jagannathan;Antony Hosking

  • Distributed agent software system and method having enhanced process mobility and communication in a computer network

    Satoru Fujita;Suresh Jagannathan;Richard A. Kelsey;Kazuya Koyama

  • Transmission of higher-order objects across a network of heterogeneous machines

    Henry Cejtin;Suresh Jagannathan;Richard A. Kelsey

  • CompCertTSO: A Verified Compiler for Relaxed-Memory Concurrency

    Jaroslav Ševčík;Viktor Vafeiadis;Francesco Zappa Nardelli;Suresh Jagannathan

  • A unified treatment of flow analysis in higher-order languages

    Suresh Jagannathan;Stephen Weeks

  • Path-Sensitive Inference of Function Precedence Protocols

    Murali Krishna Ramanathan;Ananth Grama;Suresh Jagannathan

  • Static specification inference using predicate mining

    Murali Krishna Ramanathan;Ananth Grama;Suresh Jagannathan

  • Transactional monitors for concurrent objects

    Adam Welc;Suresh Jagannathan;Antony L. Hosking

  • Declarative programming over eventually consistent data stores

    KC Sivaramakrishnan;Gowtham Kaki;Suresh Jagannathan

  • Search with probabilistic guarantees in unstructured peer-to-peer networks

    R.A. Ferreira;M.K. Ramanathan;A. Awan;A. Grama

  • An inductive synthesis framework for verifiable reinforcement learning

    He Zhu;Zikang Xiong;Stephen Magill;Suresh Jagannathan

  • Relaxed-memory concurrency and verified compilation

    Jaroslav Ŝevčik;Viktor Vafeiadis;Francesco Zappa Nardelli;Suresh Jagannathan

  • Higher-order distributed objects

    Henry Cejtin;Suresh Jagannathan;Richard Kelsey

  • Alchemist: A Transparent Dependence Distance Profiling Infrastructure

    Xiangyu Zhang;Armand Navabi;Suresh Jagannathan

  • Preemptible atomic regions for real-time Java

    J. Manson;J. Baker;A. Cunei;S. Jagannathan

  • Flow-directed inlining

    Suresh Jagannathan;Andrew Wright

  • Flow-Directed Closure Conversion for Typed Languages

    Henry Cejtin;Suresh Jagannathan;Stephen Weeks

  • Polymorphic splitting: an effective polyvariant flow analysis

    Andrew K. Wright;Suresh Jagannathan

  • Analyzing multicore dumps to facilitate concurrency bug reproduction

    Dasarath Weeratunge;Xiangyu Zhang;Suresh Jagannathan

Frequent Co-Authors

Ananth Grama
Ananth Grama Purdue University West Lafayette
Jan Vitek
Jan Vitek Northeastern University
Peter Sewell
Peter Sewell University of Cambridge
Xiangyu Zhang
Xiangyu Zhang Purdue University West Lafayette
David Gelernter
David Gelernter Yale University
Patrick Eugster
Patrick Eugster Universita della Svizzera Italiana
Viktor Vafeiadis
Viktor Vafeiadis Max Planck Institute for Software Systems
Venkat Venkatasubramanian
Venkat Venkatasubramanian Columbia University
Michael Hicks
Michael Hicks University of Maryland, College Park
Yuanyuan Zhou
Yuanyuan Zhou University of California, San Diego

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