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David Gelernter

David Gelernter

D-Index & Metrics

Computer Science

D-Index
31
Citations
13626
World Ranking
13327
National Ranking
5331

David Gelernter 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 Gelernter 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: 107 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

David Gelernter 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 Gelernter 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

David Gelernter is a researcher affiliated with Yale University in the United States. Their academic profile reflects an association with a major research institution, indicating involvement in higher education and scholarly activities.

Although there is no detailed record of recent papers authored by David Gelernter, there are no noted frequent co-authors or publication venues linked to their work in the available data. Likewise, there is no information about book publications or specific fields and subfields of study attributed to this researcher. These absences suggest limited publicly available bibliometric data or a focus on other scholarly contributions beyond documented publications.

There is no listing of main topics of work related to David Gelernter in the provided information. Similarly, no awards or recognitions have been recorded. This profile strictly reflects the data available without assumptions beyond the institutional affiliation.

Best Publications

  • Generative communication in Linda

    David Gelernter

  • Linda in context

    Nicholas Carriero;David Gelernter

  • Coordination languages and their significance

    David Gelernter;Nicholas Carriero

  • How to write parallel programs: a guide to the perplexed

    Nicholas Carriero;David Gelernter

  • Document stream operating system

    Eric Freeman;David H. Gelernter

  • Lifestreams: a storage model for personal data

    Eric Freeman;David Gelernter

  • Lifestreams: an alternative to the desktop metaphor

    Scott Fertig;Eric Freeman;David Gelernter

  • Mirror Worlds: or the Day Software Puts the Universe in a Shoebox...How It Will Happen and What It Will Mean

    David Hillel Gelernter

  • The S/Net's Linda kernel

    Nicholas Carriero;David Gelernter

  • Multiple Tuple Spaces in Linda

    David Gelernter

  • Desktop, stream-based, information management system

    Randy Prager;Peter Sparago;Stephen MarcAurele;David Gelernter

  • Parallel Programming in Linda.

    David Gelernter;Nicholas Carriero;Sarat Chandran;Silva Chang

  • Distributed data structures in Linda

    Nicholas Carriero;David Gelernter;Jerrold Leichter

  • Adaptive parallelism and Piranha

    N. Carriero;E. Freeman;D. Gelernter;D. Kaminsky

  • Traffic engineering with forward fault correction

    Hongqiang Harry Liu;Srikanth Kandula;Ratul Mahajan;Ming Zhang

  • Applications experience with Linda

    Nicholas Carriero;David Gelernter

  • Traffic engineering with forward fault correction

    Unknown

  • The Linda alternative to message-passing systems

    Nicholas J. Carriero;David Gelernter;Timothy G. Mattson;Andrew H. Sherman

  • Bauhaus Linda

    Nicholas Carriero;David Gelernter;Lenore D. Zuck

  • Mirror worlds or the day software puts the universe in a shoebox: how will it happen and what it will mean

    David Gelernter

  • “Finding and reminding” reconsidered

    Scott Fertig;Eric Freeman;David Gelernter

  • Supercomputing out of recycled garbage: preliminary experience with Piranha

    David Gelernter;David Kaminsky

  • Matching language and hardware for parallel computation in the Linda Machine

    S. Ahuja;N.J. Carriero;D.H. Gelernter;V. Krishnaswamy

  • Distributed communication via global buffer

    David Gelernter;Arthur J. Bernstein

  • Coordination languages and their significance

    Unknown

Frequent Co-Authors

Alexandru Nicolau
Alexandru Nicolau University of California, Irvine
David Padua
David Padua University of Illinois at Urbana-Champaign
Lenore D. Zuck
Lenore D. Zuck University of Illinois at Chicago
Dean F. Sittig
Dean F. Sittig The University of Texas Health Science Center at Houston
Perry L. Miller
Perry L. Miller Yale University
Suresh Jagannathan
Suresh Jagannathan Purdue University West Lafayette
Joel Gelernter
Joel Gelernter Yale University
Srikanth Kandula
Srikanth Kandula Microsoft (United States)
Patrick Baudisch
Patrick Baudisch Hasso Plattner Institute
Keshav Pingali
Keshav Pingali The University of Texas at Austin

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