World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
12888
World Ranking
7036
National Ranking
3088

Bryan Parno 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 Bryan Parno 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Bryan Parno 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 Bryan Parno 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: 45 D-Index — 51st percentile

51% 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 - Fellow of Alfred P. Sloan Foundation
  • 2017 - ACM Senior Member

Overview

Bryan Parno is affiliated with Carnegie Mellon University in the United States. Their research primarily falls within the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Hardware and Architecture, Software, Computer Networks and Communications, and Computational Theory and Mathematics.

The main topics covered in their work include:

  • Security and Verification in Computing
  • Logic, programming, and type systems
  • Formal Methods in Verification
  • Software Testing and Debugging Techniques
  • Distributed systems and fault tolerance
  • Parallel Computing and Optimization Techniques
  • Adversarial Robustness in Machine Learning

Frequent collaborators of Bryan Parno include Jay Bosamiya, Jon Howell, Travis Hance, Yi Zhou, and Chris Hawblitzel.

Their recent papers, along with their year of publication and respective publication venues, are as follows:

  • "Verus: Verifying Rust Programs using Linear Ghost Types," 2023, Proceedings of the ACM on Programming Languages
  • "MSWasm: Soundly Enforcing Memory-Safe Execution of Unsafe Code," 2023, Proceedings of the ACM on Programming Languages
  • "SoK: Computer-Aided Cryptography," 2023, IACR Cryptology ePrint Archive
  • "Storing and Retrieving Secrets on a Blockchain," 2022, Lecture notes in computer science
  • "Linear types for large-scale systems verification," 2022, Proceedings of the ACM on Programming Languages

Bryan Parno has published multiple papers within a number of venues, including:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Programming Languages
  • Lecture notes in computer science
  • IACR Cryptology ePrint Archive
  • Artifact Digital Object Group

Among their achievements, Bryan Parno was recognized as a Fellow of the Alfred P. Sloan Foundation in 2018 and as an ACM Senior Member in 2017.

Best Publications

  • Non-interactive verifiable computing: outsourcing computation to untrusted workers

    Rosario Gennaro;Craig Gentry;Bryan Parno

  • Pinocchio: nearly practical verifiable computation

    Bryan Parno;Jon Howell;Craig Gentry;Mariana Raykova

  • Distributed detection of node replication attacks in sensor networks

    B. Parno;A. Perrig;V. Gligor

  • Flicker: an execution infrastructure for tcb minimization

    Jonathan M. McCune;Bryan J. Parno;Adrian Perrig;Michael K. Reiter

  • Quadratic Span Programs and Succinct NIZKs without PCPs

    Rosario Gennaro;Craig Gentry;Bryan Parno;Mariana Raykova

  • Challenges in Securing Vehicular Networks

    Bryan Parno;Adrian Perrig

  • How to delegate and verify in public: verifiable computation from attribute-based encryption

    Bryan Parno;Mariana Raykova;Vinod Vaikuntanathan

  • Securing anti-virus software with virtualization

    Jiahe Helen Wang;Jacob R. Lorch;Bryan Jeffrey Parno

  • Permacoin: Repurposing Bitcoin Work for Data Preservation

    Andrew Miller;Ari Juels;Elaine Shi;Bryan Parno

  • IronFleet: proving practical distributed systems correct

    Chris Hawblitzel;Jon Howell;Manos Kapritsos;Jacob R. Lorch

  • Phoolproof phishing prevention

    Bryan Parno;Cynthia Kuo;Adrian Perrig

  • User-Driven Access Control: Rethinking Permission Granting in Modern Operating Systems

    F. Roesner;T. Kohno;A. Moshchuk;B. Parno

  • Portcullis: protecting connection setup from denial-of-capability attacks

    Bryan Parno;Dan Wendlandt;Elaine Shi;Adrian Perrig

  • Geppetto: Versatile Verifiable Computation

    Craig Costello;Cedric Fournet;Jon Howell;Markulf Kohlweiss

  • Ironclad apps: end-to-end security via automated full-system verification

    Chris Hawblitzel;Jon Howell;Jacob R. Lorch;Arjun Narayan

  • Bootstrapping Trust in Commodity Computers

    Bryan Parno;Jonathan M. McCune;Adrian Perrig

  • Komodo: Using verification to disentangle secure-enclave hardware from software

    Andrew Ferraiuolo;Andrew Baumann;Chris Hawblitzel;Bryan Parno

  • Resolving the conflict between generality and plausibility in verified computation

    Srinath Setty;Benjamin Braun;Victor Vu;Andrew J. Blumberg

  • Bootstrapping trust in a trusted platform

    Bryan Parno

  • Memoir: Practical State Continuity for Protected Modules

    Bryan Parno;Jacob R. Lorch;John R. Douceur;James Mickens

  • Pinocchio: Nearly Practical Verifiable Computation.

    Bryan Parno;Craig Gentry;Jon Howell;Mariana Raykova

Frequent Co-Authors

Adrian Perrig
Adrian Perrig ETH Zurich
Jonathan M. McCune
Jonathan M. McCune Google (United States)
Jacob R. Lorch
Jacob R. Lorch Microsoft (United States)
Cédric Fournet
Cédric Fournet Microsoft (United States)
John R. Douceur
John R. Douceur Microsoft (United States)
Mariana Raykova
Mariana Raykova Google (United States)
Markulf Kohlweiss
Markulf Kohlweiss University of Edinburgh
Craig Gentry
Craig Gentry TripleBlind
Nikhil Swamy
Nikhil Swamy Microsoft (United States)
Michael K. Reiter
Michael K. Reiter Duke University

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