World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
23376
World Ranking
3958
National Ranking
1881

David Evans 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 David Evans 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: 129 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.

David Evans 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 David Evans 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: 56 D-Index — 72nd percentile

72% 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

  • 2003 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

David Evans is affiliated with the University of Virginia in the United States. Their research spans the fields of Computer Science and Mathematics, with a total of 64 publications in Computer Science and 33 in Mathematics. Within these disciplines, their work includes subfields such as Artificial Intelligence, Mathematical Physics, Geometry and Topology, Computer Networks and Communications, and Computer Vision and Pattern Recognition.

The scientist's research topics cover several specialized areas. These include Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Algebraic Structures and Combinatorial Models, Homotopy and Cohomology in Algebraic Topology, Advanced Operator Algebra Research, Privacy-Preserving Technologies in Data, and Network Security and Intrusion Detection.

David Evans has contributed to numerous publications, including papers in recognized venues. Some of their recent works are:

  • Advances and Open Problems in Federated Learning (2020), published in Foundations and Trends® in Machine Learning
  • Revisiting Membership Inference Under Realistic Assumptions (2021), published in DOAJ (DOAJ: Directory of Open Access Journals)
  • Are Attribute Inference Attacks Just Imputation? (2022), Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • Formalizing and Estimating Distribution Inference Risks (2022), Proceedings on Privacy Enhancing Technologies
  • Revisiting Membership Inference Under Realistic Assumptions (2021), Proceedings on Privacy Enhancing Technologies

The top frequent coauthors collaborating with David Evans include Anshuman Suri, Xiao Zhang, Quanquan Gu, Fnu Suya, and Ulrich Pennig. The collaboration frequency ranges from four to seven joint works with these colleagues.

Publication venues where David Evans has frequently published include arXiv (Cornell University) with 20 publications, Advances in Mathematics with 3 publications, Proceedings on Privacy Enhancing Technologies with 2 publications, IEEE Transactions on Information Forensics and Security with 2 publications, and the Spectrum Research Repository (Concordia University) with 2 publications.

David Evans was awarded the title of Fellow of the American Association for the Advancement of Science (AAAS) in 2003.

Best Publications

  • Advances and Open Problems in Federated Learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.

    Weilin Xu;David Evans;Yanjun Qi

  • Localization for mobile sensor networks

    Lingxuan Hu;David Evans

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Using Directional Antennas to Prevent Wormhole Attacks.

    Lingxuan Hu;David Evans

  • Improving security using extensible lightweight static analysis

    D. Evans;D. Larochelle

  • Faster secure two-party computation using garbled circuits

    Yan Huang;David Evans;Jonathan Katz;Lior Malka

  • Secure aggregation for wireless networks

    Lingxuan Hu;D. Evans

  • Statically detecting likely buffer overflow vulnerabilities

    David Larochelle;David Evans

  • Automatically Hardening Web Applications Using Precise Tainting

    Anh Nguyen-Tuong;Salvatore Guarnieri;Doug Greene;Jeff Shirley

  • Perracotta: mining temporal API rules from imperfect traces

    Jinlin Yang;David Evans;Deepali Bhardwaj;Thirumalesh Bhat

  • Two Halves Make a Whole

    Samee Zahur;Mike Rosulek;David Evans

  • N-variant systems: a secretless framework for security through diversity

    Benjamin Cox;David Evans;Adrian Filipi;Jonathan Rowanhill

  • LCLint: a tool for using specifications to check code

    David Evans;John Guttag;James Horning;Yang Meng Tan

  • Private Set Intersection: Are Garbled Circuits Better than Custom Protocols?

    Yan Huang;David Evans;Jonathan Katz

  • EnviroTrack: towards an environmental computing paradigm for distributed sensor networks

    T. Abdelzaher;B. Blum;Q. Cao;Y. Chen

  • Reverse-engineering a cryptographic RFID tag

    Karsten Nohl;David Evans;Starbug Starbug;Henryk Plötz

  • Static detection of dynamic memory errors

    David Evans

  • Flexible policy-directed code safety

    D. Evans;A. Twyman

  • Privacy Protection for Social Networking Platforms

    Adrienne Felt;David Evans

  • Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

    Bhavani Thuraisingham;David Evans;Tal Malkin;Dongyan Xu

Frequent Co-Authors

John C. Knight
John C. Knight University of Virginia
Jonathan Katz
Jonathan Katz University of Maryland, College Park
Quanquan Gu
Quanquan Gu University of California, Los Angeles
Jack W. Davidson
Jack W. Davidson University of Virginia
Mariana Raykova
Mariana Raykova Google (United States)
Abhi Shelat
Abhi Shelat Northeastern University
Yanjun Qi
Yanjun Qi University of Virginia
Rasmus Pagh
Rasmus Pagh University of Copenhagen
Marco Gruteser
Marco Gruteser Rutgers, The State University of New Jersey

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