World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
97
Citations
44207
World Ranking
419
National Ranking
231

David J. DeWitt 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 J. DeWitt 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: 253 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

David J. DeWitt 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 J. DeWitt 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: 97 D-Index — 97th percentile

97% 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

  • 2008 - ACM Software System Award For Gamma, the first embodiment of a parallel, "shared nothing" database system running on a cluster of commodity computers, using data partitioning and innovative parallel query execution strategies.
  • 2007 - Fellow of the American Academy of Arts and Sciences
  • 1998 - Member of the National Academy of Engineering For the theory and construction of database systems.
  • 1995 - ACM Fellow For fundamental contributions to the areas of parallel database systems, database system benchmarking, and object-oriented database systems, and for outstanding service as an educator and a technical leader.

Overview

David J. DeWitt is affiliated with the University of Wisconsin-Madison in the United States. Their research spans primarily the field of Computer Science with a focus on specialized subfields including Computer Networks and Communications and Information Systems.

The main topics covered in their work include:

  • Cloud Computing and Resource Management
  • Advanced Data Storage Technologies
  • Distributed Systems and Fault Tolerance
  • IoT and Edge/Fog Computing

Recent publications by David J. DeWitt include:

  • "Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools," 2023, Proceedings of the ACM on Management of Data
  • "DBOS: A Proposal for a Data-Centric Operating System," 2020, arXiv (Cornell University)
  • "Table of Contents," 2020, Journal of Shoulder and Elbow Surgery
  • "The Cambridge Report on Database Research," 2025, arXiv (Cornell University)

Frequent collaborators include:

  • Michael Cafarella
  • Tim Kraska
  • Michael Stonebraker
  • Matei Zaharia
  • Vijay Gadepally

The most frequent venues for publication are:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Management of Data
  • Journal of Shoulder and Elbow Surgery

David J. DeWitt has received several awards recognizing different aspects of their contributions, including:

  • ACM Software System Award in 2008 for work on Gamma, a parallel "shared nothing" database system which utilized data partitioning and parallel query execution strategies
  • Fellow of the American Academy of Arts and Sciences in 2007
  • Member of the National Academy of Engineering in 1998 for contributions to database system theory and construction
  • ACM Fellow in 1995 for foundational work in parallel database systems, benchmarking, object-oriented database systems, and service as an educator and technical leader

Best Publications

  • Parallel database systems: the future of high performance database systems

    David DeWitt;Jim Gray

  • The Object-Oriented Database System Manifesto.

    Malcolm P. Atkinson;François Bancilhon;David J. DeWitt;Klaus R. Dittrich

  • NiagaraCQ: a scalable continuous query system for Internet databases

    Jianjun Chen;David J. DeWitt;Feng Tian;Yuan Wang

  • Incognito: efficient full-domain K-anonymity

    Kristen LeFevre;David J. DeWitt;Raghu Ramakrishnan

  • Relational Databases for Querying XML Documents: Limitations and Opportunities

    Jayavel Shanmugasundaram;Kristin Tufte;Chun Zhang;Gang He

  • Mondrian Multidimensional K-Anonymity

    K. LeFevre;D.J. DeWitt;R. Ramakrishnan

  • A comparison of approaches to large-scale data analysis

    Andrew Pavlo;Erik Paulson;Alexander Rasin;Daniel J. Abadi

  • On supporting containment queries in relational database management systems

    Chun Zhang;Jeffrey Naughton;David DeWitt;Qiong Luo

  • Implementation techniques for main memory database systems

    David J DeWitt;Randy H Katz;Frank Olken;Leonard D Shapiro

  • The Gamma database machine project

    D.J. DeWitt;S. Ghandeharizadeh;D.A. Schneider;A. Bricker

  • The 007 Benchmark

    Michael J. Carey;David J. DeWitt;Jeffrey F. Naughton

  • Scientific data management in the coming decade

    Jim Gray;David T. Liu;Maria Nieto-Santisteban;Alex Szalay

  • DBMSs on a Modern Processor: Where Does Time Go?

    Anastassia Ailamaki;David J. DeWitt;Mark D. Hill;David A. Wood

  • MapReduce and parallel DBMSs: friends or foes?

    Michael Stonebraker;Daniel Abadi;David J. DeWitt;Sam Madden

  • The object-oriented database system manifesto

    Malcolm Atkinson;David Dewitt;David Maier;Francois Bancilhon

  • Shoring up persistent applications

    Michael J. Carey;David J. DeWitt;Michael J. Franklin;Nancy E. Hall

  • X-Diff: an effective change detection algorithm for XML documents

    Y. Wang;D.J. DeWitt;J.-Y. Cai

  • Benchmarking Database Systems A Systematic Approach

    Dina Bitton;David J. DeWitt;Carolyn Turbyfill

  • Partition based spatial-merge join

    Jignesh M. Patel;David J. DeWitt

  • A performance evaluation of four parallel join algorithms in a shared-nothing multiprocessor environment

    Donovan A. Schneider;David J. DeWitt

Frequent Co-Authors

Jeffrey F. Naughton
Jeffrey F. Naughton University of Wisconsin–Madison
Michael J. Carey
Michael J. Carey University of California, Irvine
David Maier
David Maier Portland State University
Jignesh M. Patel
Jignesh M. Patel Carnegie Mellon University
Jim Gray
Jim Gray Microsoft (United States)
Michael J. Franklin
Michael J. Franklin University of Chicago
Raghu Ramakrishnan
Raghu Ramakrishnan Microsoft (United States)
Goetz Graefe
Goetz Graefe Google (United States)

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