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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
133
Citations
116234
World Ranking
90
National Ranking
55

David E. Culler 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 E. Culler 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: 443 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

David E. Culler 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 E. Culler 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: 133 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
  • 2005 - Member of the National Academy of Engineering For contributions to scalable parallel processing systems, including architectures, operating systems, and programming environments.
  • 2002 - ACM Fellow For contributions to networks of small and large devices.

Overview

David E. Culler is affiliated with the University of California, Berkeley in the United States. Their research spans multiple disciplines within computer science and engineering, with a focus on networking, systems, and applied technologies. The primary fields of study associated with their work are Computer Science and Engineering.

The main subfields of study for David E. Culler include:

  • Computer Networks and Communications
  • Information Systems
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Automotive Engineering

Their research covers a range of topics, particularly emphasizing:

  • Caching and Content Delivery
  • Cloud Computing and Resource Management
  • Blockchain Technology Applications and Security
  • Opportunistic and Delay-Tolerant Networks
  • Internet Traffic Analysis and Secure E-voting
  • Energy Efficient Wireless Sensor Networks
  • Mobile Ad Hoc Networks

David E. Culler has multiple recent publications in respected venues. Selected recent papers include:

  • "Core Concepts, Challenges, and Future Directions in Blockchain," 2020, ACM Computing Surveys
  • "Revitalizing the public internet by making it extensible," 2021, ACM SIGCOMM Computer Communication Review
  • "PC-RPL," 2020, ACM Transactions on Sensor Networks
  • "Formalizing Tag-Based Metadata With the Brick Ontology," 2020, Frontiers in Built Environment
  • "A low-complexity non-intrusive approach to predict the energy demand of buildings over short-term horizons," 2020, Advances in Building Energy Research

Frequent co-authors collaborating with David E. Culler include:

  • Sam Kumar
  • Athanasios Aris Panagopoulos
  • Filippos Christianos
  • Michail Katsigiannis
  • Konstantinos Mykoniatis

Their work has been published repeatedly in venues such as:

  • arXiv (Cornell University)
  • ACM Computing Surveys
  • ACM SIGCOMM Computer Communication Review
  • ACM Transactions on Sensor Networks
  • Frontiers in Built Environment

David E. Culler has received recognition for their contributions to the field, including awards such as:

  • Member of the National Academy of Engineering (2005) for contributions to scalable parallel processing systems, including architectures, operating systems, and programming environments
  • ACM Fellow (2002) for contributions to networks of small and large devices

Best Publications

  • Wireless sensor networks for habitat monitoring

    Alan Mainwaring;David Culler;Joseph Polastre;Robert Szewczyk

  • SPINS: security protocols for sensor networks

    Adrian Perrig;Robert Szewczyk;J. D. Tygar;Victor Wen

  • System architecture directions for networked sensors

    Jason Hill;Robert Szewczyk;Alec Woo;Seth Hollar

  • Versatile low power media access for wireless sensor networks

    Joseph Polastre;Jason Hill;David Culler

  • SPINS: security protocols for sensor networks

    Adrian Perrig;Robert Szewczyk;Victor Wen;David Culler

  • TOSSIM: accurate and scalable simulation of entire TinyOS applications

    Philip Levis;Nelson Lee;Matt Welsh;David Culler

  • Guest Editors' Introduction: Overview of Sensor Networks

    D. Culler;D. Estrin;M. Srivastava

  • The nesC language: a holistic approach to networked embedded systems

    Philip Levis;Robert von Behren;Matt Welsh

  • Parallel Computer Architecture: A Hardware/Software Approach

    David E. Culler;Anoop Gupta;Jaswinder Pal Singh

  • Telos: enabling ultra-low power wireless research

    Joseph Polastre;Robert Szewczyk;David Culler

  • Active messages: a mechanism for integrated communication and computation

    Thorsten von Eicken;David E. Culler;Seth Copen Goldstein;Klaus Erik Schauser

  • LogP: towards a realistic model of parallel computation

    David Culler;Richard Karp;David Patterson;Abhijit Sahay

  • Taming the underlying challenges of reliable multihop routing in sensor networks

    Alec Woo;Terence Tong;David Culler

  • TinyOS: An Operating System for Sensor Networks

    Philip Alexander Levis;Samuel Madden;Joseph Polastre;Robert Szewczyk

  • The ganglia distributed monitoring system: design, implementation, and experience

    Matthew L. Massie;Brent N. Chun;David E. Culler

  • Mica: a wireless platform for deeply embedded networks

    J.L. Hill;D.E. Culler

  • The nesC language: A holistic approach to networked embedded systems

    Unknown

  • Maté: a tiny virtual machine for sensor networks

    Philip Levis;David Culler

  • A case for NOW (Networks of Workstations)

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

  • PlanetLab: an overlay testbed for broad-coverage services

    Brent Chun;David Culler;Timothy Roscoe;Andy Bavier

  • Active Messages: a Mechanism for Integrated Communication and

    Thorsten von Eicken;David E. Culler;Seth C Goldstein;Klaus E Schauser

Frequent Co-Authors

Prabal Dutta
Prabal Dutta University of California, Berkeley
Jonathan W. Hui
Jonathan W. Hui Google (United States)
Philip Levis
Philip Levis Stanford University
Randy H. Katz
Randy H. Katz University of California, Berkeley
Kamin Whitehouse
Kamin Whitehouse University of Virginia
Matt Welsh
Matt Welsh Fixie.ai
Eric Brewer
Eric Brewer University of California, Berkeley
Scott Shenker
Scott Shenker University of California, Berkeley
Thomas Anderson
Thomas Anderson University of Washington
Seth Copen Goldstein
Seth Copen Goldstein Carnegie Mellon University

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