World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
10539
World Ranking
8655
National Ranking
3712

Josh Benaloh 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 Josh Benaloh 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: 70 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Josh Benaloh 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 Josh Benaloh 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Josh Benaloh is affiliated with Microsoft in the United States and contributes extensively to research in computer science, with a focus on privacy and security. Their academic work spans several subfields, including artificial intelligence, signal processing, and information systems, reflecting a broad engagement with technical domains related to computing and data protection.

The main areas of study covered by their research emphasize privacy-preserving technologies in data, cryptography and data security, and secure internet traffic analysis and e-voting systems. Additional topics addressed include adversarial robustness in machine learning, advanced malware detection techniques, security and verification in computing, and cloud data security solutions.

Notable recent publications by Josh Benaloh include:

  • VAULT-Style Risk-Limiting Audits and the Inyo County Pilot, 2021, published in IEEE Security & Privacy
  • Table of Contents, 2021, published in IEEE Security & Privacy

Other key papers relevant to the domains they contribute to, though authored by other researchers, include "Bugs in our pockets: the risks of client-side scanning" (2024, Journal of Cybersecurity), "Bugs in our Pockets: The Risks of Client-Side Scanning" (2021, arXiv (Cornell University)), and "Confidential Computing Proofs" (2024, Queue).

The frequent coauthors with whom Josh Benaloh has collaborated include Vanessa Teague, Steven M. Bellovin, Ross Anderson, Matt Blaze, and Jon Callas. This collaboration network spans researchers with expertise in cryptography, security, and privacy, indicating a multidisciplinary approach to their scientific work.

Josh Benaloh's research has been published primarily in venues such as IEEE Security & Privacy, Journal of Cybersecurity, arXiv (Cornell University), and Queue, reflecting a mix of peer-reviewed journals and preprint platforms that cover cybersecurity and computing topics.

Best Publications

  • Electronic online commerce card with customer generated transaction proxy number for online transactions

    D. Chase Franklin;Daniel Rosen;Josh Benaloh;Daniel R. Simon

  • Generalized secret sharing and monotone functions

    Josh Cohen Benaloh;Jerry Leichter

  • One-way accumulators: a decentralized alternative to digital signatures

    Josh Benaloh;Michael de Mare

  • Patient controlled encryption: ensuring privacy of electronic medical records

    Josh Benaloh;Melissa Chase;Eric Horvitz;Kristin Lauter

  • A robust and verifiable cryptographically secure election scheme

    Josh D. Cohen;Michael J. Fischer

  • Receipt-free secret-ballot elections (extended abstract)

    Josh Benaloh;Dwight Tuinstra

  • Verifiable secret-ballot elections

    Josh Daniel Cohen Benaloh

  • Secret sharing homomorphisms: keeping shares of a secret secret

    Josh Cohen Benaloh

  • Receipt-Free Secret-Ballot Elections

    J. C. Benaloh

  • Dense Probabilistic Encryption

    Josh Benaloh

  • Distributing the power of a government to enhance the privacy of voters

    Josh C Benaloh;Moti Yung

  • System and method for self-identifying a portable information device to a computing unit

    Bennet Yee;Josh Benaloh

  • The risks of key recovery, key escrow, and trusted third-party encryption

    Hal Abelson;Ross Anderson;Steven M. Bellovin;Josh Benalob

  • Keys under doormats: mandating insecurity by requiring government access to all data and communications

    Hal Abelson;Ross Anderson;Steven Michael Bellovin;Josh Benaloh

  • Simple verifiable elections

    Josh Benaloh

  • Secret Sharing Homomorphisms: Keeping Shares of a Secret Secret (Extended Abstract)

    Josh Cohen Benaloh

  • One-way Accumulators: A Decentralized Alternative to Digital Signatures (Extended Abstract)

    Josh Benaloh;Michael de Mare

  • Ballot casting assurance via voter-initiated poll station auditing

    Josh Benaloh

  • Prevention of unauthorized scripts

    Iulian D. Calinov;Danpo Zhang;Jonathan Wilkins;Julien Couvreur

  • STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System

    Susan Bell;Josh Benaloh;Michael D. Byrne;Dana DeBeauvoir

  • STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System

    Josh Benaloh;Mike Byrne;Philip Kortum;Neal McBurnett

Frequent Co-Authors

Peter Y. A. Ryan
Peter Y. A. Ryan University of Luxembourg
Marcus Peinado
Marcus Peinado Microsoft (United States)
Dan S. Wallach
Dan S. Wallach Rice University
Ross Anderson
Ross Anderson University of Cambridge
Kristin E. Lauter
Kristin E. Lauter Microsoft (United States)
J. Alex Halderman
J. Alex Halderman University of Michigan–Ann Arbor
Steven M. Bellovin
Steven M. Bellovin Columbia University
Bruce Schneier
Bruce Schneier Harvard University
Eric Horvitz
Eric Horvitz Microsoft (United States)

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