World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
89
Citations
42878
World Ranking
634
National Ranking
338

Somesh Jha 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 Somesh Jha 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: 359 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.

Somesh Jha 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 Somesh Jha 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: 89 D-Index — 96th percentile

96% 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 - IEEE Fellow For contributions to the application of formal methods to security
  • 2016 - ACM Fellow For contributions to verification, programming languages, and software engineering.
  • 2014 - ACM Distinguished Member

Overview

Somesh Jha is affiliated with the University of Wisconsin-Madison in the United States. Their primary field of study is Computer Science, with a focus on multiple subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing, and Sociology and Political Science.

The research topics covered in their work include:

  • Adversarial Robustness in Machine Learning
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Cryptography and Data Security
  • Advanced Malware Detection Techniques
  • Software Engineering Research
  • Security and Verification in Computing

Jha's recent publications include:

  • "Semantic Robustness of Models of Source Code", 2022, published in the 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
  • "EIFFeL", 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • "TRACE: Enterprise-Wide Provenance Tracking for Real-Time APT Detection", 2021, IEEE Transactions on Information Forensics and Security
  • "Identifying and Mitigating the Security Risks of Generative AI", 2023, Foundations and Trends® in Privacy and Security
  • "Face-Off: Adversarial Face Obfuscation", 2021, DOAJ (DOAJ: Directory of Open Access Journals)

The frequent coauthors collaborating with Jha include:

  • Jiefeng Chen
  • Yingyu Liang
  • Kassem Fawaz
  • Tianhao Wang
  • Xi Wu

Their contributions have been published extensively in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • Proceedings on Privacy Enhancing Technologies
  • ACM Transactions on Cyber-Physical Systems
  • Formal Methods in System Design

Somesh Jha has been recognized through awards including the IEEE Fellow in 2018 for contributions to the application of formal methods to security, ACM Fellow in 2016 for their work in verification, programming languages, and software engineering, and was named an ACM Distinguished Member in 2014.

Best Publications

  • The Limitations of Deep Learning in Adversarial Settings

    Nicolas Papernot;Patrick McDaniel;Somesh Jha;Matt Fredrikson

  • Practical Black-Box Attacks against Machine Learning

    Nicolas Papernot;Patrick McDaniel;Ian Goodfellow;Somesh Jha

  • Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks

    Nicolas Papernot;Patrick McDaniel;Xi Wu;Somesh Jha

  • Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

    Matt Fredrikson;Somesh Jha;Thomas Ristenpart

  • Automated generation and analysis of attack graphs

    O. Sheyner;J. Haines;S. Jha;R. Lippmann

  • Counterexample-guided abstraction refinement for symbolic model checking

    Edmund Clarke;Orna Grumberg;Somesh Jha;Yuan Lu

  • Semantics-aware malware detection

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

  • Static analysis of executables to detect malicious patterns

    Mihai Christodorescu;Somesh Jha

  • Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

    Samuel Yeom;Irene Giacomelli;Matt Fredrikson;Somesh Jha

  • Two formal analyses of attack graphs

    S. Jha;O. Sheyner;J. Wing

  • Privacy in pharmacogenetics: an end-to-end case study of personalized warfarin dosing

    Matthew Fredrikson;Eric Lantz;Somesh Jha;Simon Lin

  • Modular verification of software components in C

    S. Chaki;E.M. Clarke;A. Groce;S. Jha

  • Mining specifications of malicious behavior

    Mihai Christodorescu;Somesh Jha;Christopher Kruegel

  • Effective inter-component communication mapping in Android with Epicc: an essential step towards holistic security analysis

    Damien Octeau;Patrick McDaniel;Somesh Jha;Alexandre Bartel

  • Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples.

    Nicolas Papernot;Patrick D. McDaniel;Ian J. Goodfellow;Somesh Jha

  • Testing malware detectors

    Mihai Christodorescu;Somesh Jha

  • Exploiting symmetry in temporal logic model checking

    E. M. Clarke;R. Enders;T. Filkorn;S. Jha

  • Mining specifications of malicious behavior

    Mihai Christodorescu;Somesh Jha;Christopher Kruegel

  • Towards automatic generation of vulnerability-based signatures

    D. Brumley;J. Newsome;D. Song;Hao Wang

  • Global Intrusion Detection in the DOMINO Overlay System.

    Vinod Yegneswaran;Paul Barford;Somesh Jha

  • Locally Differentially Private Protocols for Frequency Estimation

    Tianhao Wang;Jeremiah Blocki;Ninghui Li;Somesh Jha

  • Counterexample-Guide dAbstractio nRefinemen t ?

    Edmund Clarke;Orna Grumberg;Somesh Jha;Yuan Lu

Frequent Co-Authors

Edmund M. Clarke
Edmund M. Clarke Carnegie Mellon University
Thomas Reps
Thomas Reps University of Wisconsin–Madison
Mihai Christodorescu
Mihai Christodorescu Visa (United States)
Barton P. Miller
Barton P. Miller University of Wisconsin–Madison
Patrick McDaniel
Patrick McDaniel University of Wisconsin–Madison
Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau
Ninghui Li
Ninghui Li Purdue University West Lafayette
Sanjit A. Seshia
Sanjit A. Seshia University of California, Berkeley
Ananthram Swami
Ananthram Swami United States Army Research Laboratory

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