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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
117
Citations
114956
World Ranking
163
National Ranking
94

David A. Patterson 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 A. Patterson 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: 465 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

David A. Patterson 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 A. Patterson 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: 117 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2007 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - Member of the National Academy of Sciences
  • 2006 - Fellow of the American Academy of Arts and Sciences
  • 1993 - Member of the National Academy of Engineering For technical and educational contributions and leadership in the development of computational systems.

Overview

David A. Patterson is affiliated with the University of California, Berkeley in the United States. Their research primarily falls within the field of Environmental Science, with a focus on subfields such as Nature and Landscape Conservation, Ecology, Global and Planetary Change, Aquatic Science, and Computer Networks and Communications.

The main topics covered by their work include:

  • Fish Ecology and Management Studies
  • Marine and fisheries research
  • Physiological and biochemical adaptations
  • Aquaculture Nutrition and Growth
  • Aquaculture disease management and microbiota
  • Marine Bivalve and Aquaculture Studies
  • Aquatic Invertebrate Ecology and Behavior

Among recent publications involving Patterson as an author are:

  • Carbon Emissions and Large Neural Network Training, 2021, arXiv (Cornell University)

Other related recent papers from overlapping research areas include:

  • Benchmarking TinyML Systems: Challenges and Direction, 2020, arXiv (Cornell University)
  • Exceptionally high mortality of adult female salmon: a large-scale pattern and a conservation concern, 2021, Canadian Journal of Fisheries and Aquatic Sciences
  • Maxed Out: Optimizing Accuracy, Precision, and Power for Field Measures of Maximum Metabolic Rate in Fishes, 2020, Physiological and Biochemical Zoology
  • Sex-specific differences in physiological recovery and short-term behaviour following fisheries capture in adult sockeye salmon (Oncorhynchus nerka), 2020, Canadian Journal of Fisheries and Aquatic Sciences

The scientist frequently publishes in venues such as Conservation Physiology, Communications of the ACM, arXiv (Cornell University), Canadian Journal of Fisheries and Aquatic Sciences, and Fisheries Research.

Frequent co-authors collaborating with Patterson include:

  • Steven J. Cooke
  • Scott G. Hinch
  • Erika J. Eliason
  • Anthony P. Farrell
  • Brian Hendriks

Patterson has been recognized by multiple organizations, holding distinctions such as:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2007
  • Fellow of the American Academy of Arts and Sciences, 2006
  • Member of the National Academy of Sciences, 2006
  • Member of the National Academy of Engineering, 1993, for technical and educational contributions and leadership in the development of computational systems

Best Publications

  • Computer Architecture: A Quantitative Approach

    John L. Hennessy;David A. Patterson

  • A view of cloud computing

    Michael Armbrust;Armando Fox;Rean Griffith;Anthony D. Joseph

  • Above the Clouds: A Berkeley View of Cloud Computing

    Michael Armbrust;Armando Fox;Rean Griffith;Anthony D. Joseph

  • In-Datacenter Performance Analysis of a Tensor Processing Unit

    Norman P. Jouppi;Cliff Young;Nishant Patil;David Patterson

  • A case for redundant arrays of inexpensive disks (RAID)

    David A. Patterson;Garth Gibson;Randy H. Katz

  • Computer Organization and Design: the Hardware/Software Interface

    David A. Patterson;John L. Hennessy

  • The Landscape of Parallel Computing Research: A View from Berkeley

    Krste Asanovic;Ras Bodik;Bryan Christopher Catanzaro;Joseph James Gebis

  • Roofline: an insightful visual performance model for multicore architectures

    Samuel Williams;Andrew Waterman;David Patterson

  • LogP: towards a realistic model of parallel computation

    David Culler;Richard Karp;David Patterson;Abhijit Sahay

  • Serverless Network File Systems

    T. E. Anderson;M. D. Dahlin;J. M. Neefe;D. A. Patterson

  • To Err is Human

    Aaron B. Brown;David A. Patterson

  • RAID: high-performance, reliable secondary storage

    Peter M. Chen;Edward K. Lee;Garth A. Gibson;Randy H. Katz

  • A case for NOW (Networks of Workstations)

    T.E. Anderson;D.E. Culler;D. Patterson

  • In-Datacenter Performance Analysis of a Tensor Processing Unit

    Norman P. Jouppi;Cliff Young;Nishant Patil;David Patterson

  • Computer architecture (2nd ed.): a quantitative approach

    John L. Hennessy;David A. Patterson

  • Detecting Large-Scale System Problems by Mining Console Logs

    Wei Xu;Ling Huang;Armando Fox;David A. Patterson

  • Toil enables reproducible, open source, big biomedical data analyses

    John Vivian;Arjun Arkal Rao;Frank Austin Nothaft;Christopher Ketchum

  • A case for intelligent RAM

    D. Patterson;T. Anderson;N. Cardwell;R. Fromm

  • A view of the parallel computing landscape

    Krste Asanovic;Rastislav Bodik;James Demmel;Tony Keaveny

  • Reduced instruction set computers

    David A. Patterson

  • A case for NOW (networks of workstation)

    David A. Patterson;David E. Culler;Thomas E. Anderson

  • The RISC-V Instruction Set Manual

    Andrew Waterman;Yunsup Lee;David Patterson;Krste Asanovi

Frequent Co-Authors

Armando Fox
Armando Fox University of California, Berkeley
Randy H. Katz
Randy H. Katz University of California, Berkeley
Krste Asanovic
Krste Asanovic University of California, Berkeley
Thomas Anderson
Thomas Anderson University of Washington
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
John L. Hennessy
John L. Hennessy Stanford University
Garth A. Gibson
Garth A. Gibson Carnegie Mellon University
Katherine Yelick
Katherine Yelick University of California, Berkeley
Peter M. Chen
Peter M. Chen University of Michigan–Ann Arbor
David E. Culler
David E. Culler University of California, Berkeley

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