World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7865
World Ranking
9213
National Ranking
3921

Dan Grossman 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 Dan Grossman 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: 126 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Dan Grossman 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 Dan Grossman 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

Dan Grossman is affiliated with the University of Washington in the United States. Their research primarily focuses on the field of Computer Science, with contributions spanning subfields such as Information Systems and Management, Artificial Intelligence, Clinical Psychology, Organic Chemistry, and Management Information Systems.

Their work covers a diverse set of main topics, including:

  • Psychedelics and Drug Studies
  • Chemical synthesis and alkaloids
  • Diverse academic research themes
  • Security and Verification in Computing
  • Big Data and Business Intelligence
  • Scientific Computing and Data Management
  • Ethics and Social Impacts of AI

Dan Grossman has coauthored frequently with several researchers, including:

  • Chandrakana Nandi
  • Max Willsey
  • Adam Anderson
  • Zachary Tatlock
  • Jacob S. Aday

The venues in which Dan Grossman has published multiple works include:

  • arXiv (Cornell University)
  • Psychedelic Medicine
  • Artifact Digital Object Group
  • Proceedings of the ACM on Programming Languages
  • Zenodo (CERN European Organization for Nuclear Research)

Some of the recent papers authored or coauthored by Dan Grossman include:

  • Psychedelic Commercialization: A Wide-Spanning Overview of the Emerging Psychedelic Industry, 2023, Psychedelic Medicine
  • SPML: A DSL for Defending Language Models Against Prompt Attacks, 2024, arXiv (Cornell University)
  • The Case for Anticipating Undesirable Consequences of Computing Innovations Early, Often, and Across Computer Science, 2023, arXiv (Cornell University)
  • Szalinski: A Tool for Synthesizing Structured CAD Models with Equality Saturation and Inverse Transformations, 2020, Artifact Digital Object Group
  • Rewrite rule inference using equality saturation, 2021, Proceedings of the ACM on Programming Languages

Best Publications

  • Cyclone: A Safe Dialect of C

    Trevor Jim;J. Greg Morrisett;Dan Grossman;Michael W. Hicks

  • EnerJ: approximate data types for safe and general low-power computation

    Adrian Sampson;Werner Dietl;Emily Fortuna;Danushen Gnanapragasam

  • Region-based memory management in cyclone

    Dan Grossman;Greg Morrisett;Trevor Jim;Michael Hicks

  • Learning Bayesian network classifiers by maximizing conditional likelihood

    Daniel Grossman;Pedro Domingos

  • CoreDet: a compiler and runtime system for deterministic multithreaded execution

    Tom Bergan;Owen Anderson;Joseph Devietti;Luis Ceze

  • TALx86: A Realistic Typed Assembly Language∗

    Greg Morrisett;Karl Crary;Neal Glew;Dan Grossman

  • Enforcing isolation and ordering in STM

    Tatiana Shpeisman;Vijay Menon;Ali-Reza Adl-Tabatabai;Steven Balensiefer

  • ParaTimer: a progress indicator for MapReduce DAGs

    Kristi Morton;Magdalena Balazinska;Dan Grossman

  • Type-safe multithreading in cyclone

    Dan Grossman

  • Automatic Inference of Structural Changes for Matching across Program Versions

    Miryung Kim;David Notkin;Dan Grossman

  • Estimating the progress of MapReduce pipelines

    Kristi Morton;Abram Friesen;Magdalena Balazinska;Dan Grossman

  • High-level small-step operational semantics for transactions

    Katherine F. Moore;Dan Grossman

  • AtomCaml: first-class atomicity via rollback

    Michael F. Ringenburg;Dan Grossman

  • Type-directed completion of partial expressions

    Daniel Perelman;Sumit Gulwani;Thomas Ball;Dan Grossman

  • Expressing and verifying probabilistic assertions

    Adrian Sampson;Pavel Panchekha;Todd Mytkowicz;Kathryn S. McKinley

  • IFRit: interference-free regions for dynamic data-race detection

    Laura Effinger-Dean;Brandon Lucia;Luis Ceze;Dan Grossman

  • RCDC: a relaxed consistency deterministic computer

    Joseph Devietti;Jacob Nelson;Tom Bergan;Luis Ceze

  • Searching for type-error messages

    Benjamin S. Lerner;Matthew Flower;Dan Grossman;Craig Chambers

  • Synthesizing structured CAD models with equality saturation and inverse transformations

    Chandrakana Nandi;Max Willsey;Adam Anderson;James R. Wilcox

  • Test-driven synthesis

    Daniel Perelman;Sumit Gulwani;Dan Grossman;Peter Provost

  • Experience with safe manual memory-management in cyclone

    Michael Hicks;Greg Morrisett;Dan Grossman;Trevor Jim

Frequent Co-Authors

Luis Ceze
Luis Ceze University of Washington
Greg Morrisett
Greg Morrisett Cornell University
Michael Hicks
Michael Hicks University of Maryland, College Park
Michael D. Ernst
Michael D. Ernst University of Washington
Magdalena Balazinska
Magdalena Balazinska University of Washington
James Cheney
James Cheney University of Edinburgh
Steve Zdancewic
Steve Zdancewic University of Pennsylvania
Craig Chambers
Craig Chambers Google (United States)
Jock D. Mackinlay
Jock D. Mackinlay Tableau Software (United States)
Sumit Gulwani
Sumit Gulwani Microsoft (United States)

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