World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
11179
World Ranking
8206
National Ranking
3519

J. Eliot B. Moss 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 J. Eliot B. Moss 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: 118 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

J. Eliot B. Moss 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 J. Eliot B. Moss 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

J. Eliot B. Moss is affiliated with the University of Massachusetts Amherst in the United States. Their research spans multiple fields, primarily in Computer Science and Engineering, with particular focus on subfields such as Civil and Structural Engineering, Information Systems, Artificial Intelligence, Software, and Signal Processing.

Their work addresses several core topics, including:

  • Software Testing and Debugging Techniques
  • Advanced Malware Detection Techniques
  • Software Engineering Research
  • Structural Response to Dynamic Loads
  • Fire effects on concrete materials
  • Transportation Safety and Impact Analysis
  • Reinforcement Learning in Robotics

Among their recent publications are:

  • "Model-Based Reinforcement Learning with SINDy," 2022, arXiv (Cornell University)
  • "PlanAlyzer," 2021, Communications of the ACM
  • "Blast Testing of a Cold-Formed Steel-Framed Building with a Roof Truss System: I. Design, Characterization of Blast Pressures, and System-Level Response," 2024, Journal of Structural Engineering
  • "Model Complexity of Program Phases," 2023, arXiv (Cornell University)

J. Eliot B. Moss has collaborated with several researchers across their projects, including:

  • Emma Tosch
  • Eytan Bakshy
  • Emery D. Berger
  • David Jensen
  • David C. Weggel

Their work has been published in venues such as:

  • arXiv (Cornell University)
  • Communications of the ACM
  • Journal of Structural Engineering

Best Publications

  • Transactional memory: architectural support for lock-free data structures

    Maurice Herlihy;J. Eliot B. Moss

  • The DaCapo benchmarks: java benchmarking development and analysis

    Stephen M. Blackburn;Robin Garner;Chris Hoffmann;Asjad M. Khang

  • The Jikes research virtual machine project: building an open-source research community

    B. Alpern;S. Augart;S. M. Blackburn;M. Butrico

  • System for achieving atomic non-sequential multi-word operations in shared memory

    Maurice Herlihy;J. Eliot B. Moss

  • Open nesting in software transactional memory

    Yang Ni;Vijay S. Menon;Ali-Reza Adl-Tabatabai;Antony L. Hosking

  • Type-based alias analysis

    Amer Diwan;Kathryn S. McKinley;J. Eliot B. Moss

  • Efficient packet demultiplexing for multiple endpoints and large messages

    Masanobu Yuhara;Brian N. Bershad;Chris Maeda;J. Eliot B. Moss

  • The garbage collection advantage: improving program locality

    Xianglong Huang;Stephen M. Blackburn;Kathryn S. McKinley;J Eliot B. Moss

  • Incremental Collection of Mature Objects

    Richard L. Hudson;J. Eliot B. Moss

  • Nested transactional memory: model and architecture sketches

    J. Eliot B. Moss;Antony L. Hosking

  • Working with Persistent Objects: To Swizzle or Not to Swizzle

    Unknown

  • Design of the Mneme persistent object store

    J. Eliot B. Moss

  • A comparative performance evaluation of write barrier implementation

    Antony L. Hosking;J. Eliot B. Moss;Darko Stefanovic

  • Simple and effective analysis of statically-typed object-oriented programs

    Amer Diwan;J. Eliot B. Moss;Kathryn S. McKinley

  • CRAMM: virtual memory support for garbage-collected applications

    Ting Yang;Emery D. Berger;Scott F. Kaplan;J. Eliot B. Moss

  • Garbage collection and local variable type-precision and liveness in Java virtual machines

    Ole Agesen;David Detlefs;J. Eliot Moss

  • Wake up and smell the coffee: evaluation methodology for the 21st century

    Stephen M. Blackburn;Kathryn S. McKinley;Robin Garner;Chris Hoffmann

  • Open Nested Transactions: Semantics and Support

    J. Eliot B. Moss

  • Beltway: getting around garbage collection gridlock

    Stephen M Blackburn;Richard Jones;Kathryn S. McKinley;J Eliot B Moss

  • Pretenuring for Java

    Stephen M. Blackburn;Sharad Singhai;Matthew Hertz;Kathryn S. McKinely

  • Inducing heuristics to decide whether to schedule

    John Cavazos;J. Eliot B. Moss

Frequent Co-Authors

Kathryn S. McKinley
Kathryn S. McKinley Google (United States)
Amer Diwan
Amer Diwan Google (United States)
Emery D. Berger
Emery D. Berger University of Massachusetts Amherst
Maurice Herlihy
Maurice Herlihy Brown University
Ravi Rajwar
Ravi Rajwar Google (United States)
David B. Lomet
David B. Lomet Microsoft (United States)
Piotr Luszczek
Piotr Luszczek University of Tennessee at Knoxville
Henry F. Korth
Henry F. Korth Lehigh University
Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Krithi Ramamritham
Krithi Ramamritham Indian Institute of Technology Bombay

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