World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7355
World Ranking
11076
National Ranking
4602

Kimberly Keeton 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 Kimberly Keeton 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: 115 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Kimberly Keeton 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 Kimberly Keeton 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: 36 D-Index — 23rd percentile

23% 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

  • 2021 - IEEE Fellow For contributions to storage and memory systems
  • 2018 - ACM Fellow For contributions improving the dependability, manageability, and usability of storage and novel memory systems
  • 2012 - ACM Distinguished Member
  • 2010 - ACM Senior Member

Overview

Kimberly Keeton is affiliated with Google in the United States. Their research primarily spans the field of Computer Science, with a concentration on specific subfields including Computer Networks and Communications, Hardware and Architecture, Information Systems, and Artificial Intelligence.

Their work addresses several advanced topics such as:

  • Advanced Data Storage Technologies
  • Caching and Content Delivery
  • Cloud Computing and Resource Management
  • Network Packet Processing and Optimization
  • Parallel Computing and Optimization Techniques
  • Internet Traffic Analysis and Secure E-voting
  • Distributed Systems and Fault Tolerance

Keeton's recent papers include:

  • "DINOMO," 2022, Proceedings of the VLDB Endowment
  • "Succinct Range Filters," 2020, ACM Transactions on Database Systems
  • "WiscSort: External Sorting for Byte-Addressable Storage," 2023, Proceedings of the VLDB Endowment
  • "Farview: Disaggregated Memory with Operator Off-loading for Database Engines," 2021, arXiv (Cornell University)
  • "Farview: Disaggregated Memory with Operator Off-loading for Database Engines," 2021, Repository for Publications and Research Data (ETH Zurich)

Publication venues where Keeton has frequently contributed include:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • ACM Transactions on Database Systems
  • Communications of the ACM
  • Repository for Publications and Research Data (ETH Zurich)

Regular collaborators with whom Keeton has coauthored multiple works are:

  • Huanchen Zhang
  • David G. Andersen
  • Michael Kaminsky
  • Andrew Pavlo
  • Sekwon Lee

Keeton's recognitions include:

  • IEEE Fellow (2021) for contributions to storage and memory systems
  • ACM Fellow (2018) for contributions improving the dependability, manageability, and usability of storage and novel memory systems
  • ACM Distinguished Member (2012)
  • ACM Senior Member (2010)

Best Publications

  • A case for intelligent RAM

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

  • A case for intelligent disks (IDISKs)

    Kimberly Keeton;David A. Patterson;Joseph M. Hellerstein

  • Hibernator: helping disk arrays sleep through the winter

    Qingbo Zhu;Zhifeng Chen;Lin Tan;Yuanyuan Zhou

  • Responding to a query in a data processing system

    Kimberly Keeton;Charles B. Morrey;Craig A. Soules

  • Hippodrome: running circles around storage administration

    Eric Anderson;Michael Hobbs;Kimberly Keeton;Susan Spence

  • Performance characterization of a Quad Pentium Pro SMP using OLTP workloads

    Kimberly Keeton;David A. Patterson;Yong Qiang He;Roger C. Raphael

  • Scalable processors in the billion-transistor era: IRAM

    C.E. Kozyrakis;S. Perissakis;D. Patterson;T. Anderson

  • Providing connection-oriented network services to mobile hosts

    Kimberly Keeton;Bruce A. Mah;Srinivasan Seshan;Randy H. Katz

  • An Analysis of Persistent Memory Use with WHISPER

    Sanketh Nalli;Swapnil Haria;Mark D. Hill;Michael M. Swift

  • A Case for Intelligent RAM: IRAM

    David Patterson;Thomas Anderson;Neal Cardwell;Richard Fromm

  • Proceedings of the 12th USENIX conference on Operating Systems Design and Implementation

    Kimberly Keeton;Timothy Roscoe

  • Intelligent RAM (IRAM): chips that remember and compute

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

  • SuRF: Practical Range Query Filtering with Fast Succinct Tries

    Huanchen Zhang;Hyeontaek Lim;Viktor Leis;David G. Andersen

  • Solving the straggler problem with bounded staleness

    James Cipar;Qirong Ho;Jin Kyu Kim;Seunghak Lee

  • A framework for evaluating storage system dependability

    K. Keeton;A. Merchant

  • NVthreads: Practical Persistence for Multi-threaded Applications

    Terry Ching-Hsiang Hsu;Helge Brügner;Indrajit Roy;Kimberly Keeton

  • Method of designing storage system

    Kimberly Keeton;John Wilkes;Cipriano A. Santos;Dirk Beyer

  • System and method for interposition-based selective simulation of faults for access requests to a data storage system

    Kimberly Keeton;Arif Merchant;John Wilkes

  • Beyond processor-centric operating systems

    Paolo Faraboschi;Kimberly Keeton;Tim Marsland;Dejan Milojicic

  • LazyBase: trading freshness for performance in a scalable database

    James Cipar;Greg Ganger;Kimberly Keeton;Charles B. Morrey

Frequent Co-Authors

Arif Merchant
Arif Merchant Google (United States)
Alistair Veitch
Alistair Veitch Google (United States)
John Wilkes
John Wilkes Google (United States)
David A. Patterson
David A. Patterson University of California, Berkeley
David G. Andersen
David G. Andersen Carnegie Mellon University
Katherine Yelick
Katherine Yelick University of California, Berkeley
Andrew Pavlo
Andrew Pavlo Carnegie Mellon University
Thomas Anderson
Thomas Anderson University of Washington
Christos Kozyrakis
Christos Kozyrakis Stanford University

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Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a range of online degrees and career advancement paths. Many students and professionals consider supplementing their technical background with leadership or specialized skills. For example, pursuing an online EMBA offers a strategic business perspective, helping tech experts move into executive roles.

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Pairing computer science expertise with these additional degrees creates powerful pathways for diverse roles in today’s job market.

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