World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
19061
World Ranking
2437
National Ranking
1221

Luis Ceze 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 Luis Ceze 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 325 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Luis Ceze 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 Luis Ceze sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 65 D-Index — 83rd percentile

83% 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

  • 2017 - ACM Senior Member
  • 2010 - Fellow of Alfred P. Sloan Foundation

Overview

Luis Ceze is affiliated with the University of Washington in the United States. Their research spans multiple scientific domains, with a notable focus on molecular biology and computational applications involving DNA.

The scientist has published several recent papers, demonstrating active engagement in the interdisciplinary field of DNA data storage and molecular computing. Some of their recent papers include:

  • Probing the physical limits of reliable DNA data retrieval, 2020, Nature Communications
  • Synthetic DNA applications in information technology, 2022, Nature Communications
  • Quantifying molecular bias in DNA data storage, 2020, Nature Communications
  • Scaling DNA data storage with nanoscale electrode wells, 2021, Science Advances
  • Molecular-level similarity search brings computing to DNA data storage, 2021, Nature Communications

Their frequent co-authors reflect extensive collaboration within their research community. Prominent colleagues include Karin Strauß, Jeff Nivala, Karen Zhang, Kathryn J Doroschak, and Melissa Queen.

Luis Ceze's publications appear most often in venues such as Harvard Dataverse, arXiv (Cornell University), Nature Communications, bioRxiv (Cold Spring Harbor Laboratory), and Zenodo (CERN European Organization for Nuclear Research).

They work across several subfields including:

  • Molecular Biology
  • Social Psychology
  • Paleontology
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Their research topics include:

  • Primate Behavior and Ecology
  • Molecular Biology Techniques and Applications
  • Evolution and Paleontology Studies
  • DNA and Biological Computing
  • Advanced biosensing and bioanalysis techniques
  • Modular Robots and Swarm Intelligence
  • Advanced Neural Network Applications

Throughout their career, Luis Ceze has received recognitions such as becoming an ACM Senior Member in 2017 and being named a Fellow of the Alfred P. Sloan Foundation in 2010.

Best Publications

  • TVM: an automated end-to-end optimizing compiler for deep learning

    Tianqi Chen;Thierry Moreau;Ziheng Jiang;Lianmin Zheng

  • EnerJ: approximate data types for safe and general low-power computation

    Adrian Sampson;Werner Dietl;Emily Fortuna;Danushen Gnanapragasam

  • Neural acceleration for general-purpose approximate programs

    Hadi Esmaeilzadeh;Adrian Sampson;Luis Ceze;Doug Burger

  • Neural Acceleration for General-Purpose Approximate Programs

    Hadi Esmaeilzadeh;Adrian Sampson;Luis Ceze;Doug Burger

  • Random access in large-scale DNA data storage

    Lee Organick;Siena Dumas Ang;Yuan Jyue Chen;Randolph Lopez

  • An Overview of the BlueGene/L Supercomputer

    N.R. Adiga;G. Almasi;G.S. Almasi;Y. Aridor

  • Approximate Storage in Solid-State Memories

    Adrian Sampson;Jacob Nelson;Karin Strauss;Luis Ceze

  • Architecture support for disciplined approximate programming

    Hadi Esmaeilzadeh;Adrian Sampson;Luis Ceze;Doug Burger

  • Molecular digital data storage using DNA

    Luis Ceze;Jeff Nivala;Karin Strauss;Karin Strauss

  • Bulk Disambiguation of Speculative Threads in Multiprocessors

    Luis Ceze;James Tuck;Josep Torrellas;Calin Cascaval

  • DMP: Deterministic Shared-Memory Multiprocessing

    J. Devietti;B. Lucia;L. Ceze;M. Oskin

  • A DNA-Based Archival Storage System

    James Bornholt;Randolph Lopez;Douglas Carmean;Luis Ceze

  • A DNA-Based Archival Storage System

    James Bornholt;Randolph Lopez;Douglas M. Carmean;Luis Ceze

  • DMP: deterministic shared memory multiprocessing

    Joseph Devietti;Brandon Lucia;Luis Ceze;Mark Oskin

  • EnerJ

    Unknown

  • CoreDet: a compiler and runtime system for deterministic multithreaded execution

    Tom Bergan;Owen Anderson;Joseph Devietti;Luis Ceze

  • POSH: a TLS compiler that exploits program structure

    Wei Liu;James Tuck;Luis Ceze;Wonsun Ahn

  • BulkSC: bulk enforcement of sequential consistency

    Luis Ceze;James Tuck;Pablo Montesinos;Josep Torrellas

  • DeLorean: Recording and Deterministically Replaying Shared-Memory Multiprocessor Execution Ef?ciently

    Pablo Montesinos;Luis Ceze;Josep Torrellas

  • Latency-tolerant software distributed shared memory

    Jacob Nelson;Brandon Holt;Brandon Myers;Preston Briggs

  • General-purpose code acceleration with limited-precision analog computation

    Renée St. Amant;Amir Yazdanbakhsh;Jongse Park;Bradley Thwaites

  • Learning to Optimize Tensor Programs

    Tianqi Chen;Lianmin Zheng;Eddie Q. Yan;Ziheng Jiang

  • Deterministic process groups in dOS

    Tom Bergan;Nicholas Hunt;Luis Ceze;Steven D. Gribble

  • Operating system implications of fast, cheap, non-volatile memory

    Katelin Bailey;Luis Ceze;Steven D. Gribble;Henry M. Levy

Frequent Co-Authors

Karin Strauss
Karin Strauss Microsoft (United States)
Dan Grossman
Dan Grossman University of Washington
Josep Torrellas
Josep Torrellas University of Illinois at Urbana-Champaign
Georg Seelig
Georg Seelig University of Washington
Arvind Krishnamurthy
Arvind Krishnamurthy University of Washington
Calin Cascaval
Calin Cascaval Google (United States)
Sergey Yekhanin
Sergey Yekhanin Microsoft (United States)
Alvin Cheung
Alvin Cheung University of California, Berkeley
Carlos Guestrin
Carlos Guestrin Stanford University
José E. Moreira
José E. Moreira IBM (United States)

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