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David Gelernter

David Gelernter

Yale University
United States

D-Index & Metrics

Discipline name D-Index World Ranking National Ranking Publications Citations
Computer Science 31 13327 5331 107 13626

David Gelernter publications per year

The chart shows the history of publications by David Gelernter between 1982 and 2017, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David Gelernter published across 36 years, from 1982 to 2017, averaging 3.8 papers a year. Output peaked at 16 publications in 1991. 4 of the 136 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1982 to 2017. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 1991. 1982: 2 publications 1983: 3 publications 1984: 3 publications 1985: 7 publications 1986: 4 publications 1987: 4 publications 1988: 7 publications 1989: 7 publications 1990: 9 publications 1991: 16 publications 1992: 7 publications 1993: 5 publications 1994: 9 publications 1995: 9 publications 1996: 8 publications 1997: 9 publications 1998: 3 publications 1999: 2 publications 2000: 0 publications 2001: 1 publication 2002: 1 publication 2003: 2 publications 2004: 1 publication 2005: 0 publications 2006: 0 publications 2007: 4 publications 2008: 3 publications 2009: 0 publications 2010: 1 publication 2011: 0 publications 2012: 1 publication 2013: 0 publications 2014: 3 publications 2015: 1 publication 2016: 0 publications 2017: 4 publications
1982 2017

136 publications in total across all disciplines

View publications per year as a table
David Gelernter: publications per year, 1982 to 2017
Year Publications
1982 2
1983 3
1984 3
1985 7
1986 4
1987 4
1988 7
1989 7
1990 9
1991 16
1992 7
1993 5
1994 9
1995 9
1996 8
1997 9
1998 3
1999 2
2000 0
2001 1
2002 1
2003 2
2004 1
2005 0
2006 0
2007 4
2008 3
2009 0
2010 1
2011 0
2012 1
2013 0
2014 3
2015 1
2016 0
2017 4
Total 136
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 102–111 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420 107
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 30–31 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879 31
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Wikipedia of David Gelernter Personal website of David Gelernter

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By exploring these online programs, students in Engineering and Technology can diversify their expertise and amplify their career prospects, all while enjoying the flexibility of remote study.

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Franco Zambonelli

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Gruia-Catalin Roman

Gruia-Catalin Roman

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Paolo Ciancarini

Paolo Ciancarini

University of Bologna

Publications: 61

Rocco De Nicola

Rocco De Nicola

IMT Institute for Advanced Studies Lucca

Publications: 52

Rosario Pugliese

Rosario Pugliese

University of Florence

Publications: 52

Alessandro Ricci

Alessandro Ricci

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Publications: 51

Farhad Arbab

Farhad Arbab

Leiden University

Publications: 48

Manish Parashar

Manish Parashar

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Publications: 43

Gianluigi Zavattaro

Gianluigi Zavattaro

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Publications: 42

Gregory L. Slaughter

Gregory L. Slaughter

Oracle (United States)

Publications: 40

Thomas E. Saulpaugh

Thomas E. Saulpaugh

Oracle (United States)

Publications: 37

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José Luiz Fiadeiro

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Publications: 32

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Gian Pietro Picco

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