World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8955
World Ranking
6489
National Ranking
2879

Karin Strauss 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 Karin Strauss 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: 130 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Karin Strauss 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 Karin Strauss 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: 47 D-Index — 56th percentile

56% 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

  • 2013 - ACM Senior Member

Overview

Karin Strauss is affiliated with Microsoft in the United States. Their research primarily explores the intersection of molecular biology and data storage technologies, with a focus on DNA as a medium for information retention and computing.

The scientist has published extensively in notable venues, including:

  • Harvard Dataverse
  • Nature Communications
  • bioRxiv (Cold Spring Harbor Laboratory)
  • ACS Synthetic Biology
  • Zenodo (CERN European Organization for Nuclear Research)

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 include Luís Ceze, Jeff Nivala, Karen Zhang, Kathryn J Doroschak, and Melissa Queen.

Research topics covered by Karin Strauss prominently feature:

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

Their work spans several subfields of study, including:

  • Molecular Biology
  • Social Psychology
  • Paleontology
  • Mechanical Engineering
  • Biomedical Engineering

Karin Strauss was recognized as an ACM Senior Member in 2013.

Best Publications

  • 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

  • Molecular digital data storage using DNA

    Luis Ceze;Jeff Nivala;Karin Strauss;Karin Strauss

  • Accelerating Deep Convolutional Neural Networks Using Specialized Hardware

    Kalin Ovtcharov;Olatunji Ruwase;Joo-Young Kim;Jeremy Fowers

  • Use ECP, not ECC, for hard failures in resistive memories

    Stuart Schechter;Gabriel H. Loh;Karin Strauss;Doug Burger

  • 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

  • POSH: a TLS compiler that exploits program structure

    Wei Liu;James Tuck;Luis Ceze;Wonsun Ahn

  • Progressive authentication: deciding when to authenticate on mobile phones

    Oriana Riva;Chuan Qin;Karin Strauss;Dimitrios Lymberopoulos

  • Approximate storage in solid-state memories

    Adrian Sampson;Jacob Nelson;Karin Strauss;Luis Ceze

  • Demonstration of End-to-End Automation of DNA Data Storage

    Christopher N. Takahashi;Bichlien H. Nguyen;Bichlien H. Nguyen;Karin Strauss;Karin Strauss;Luis Ceze

  • Atom-Aid: Detecting and Surviving Atomicity Violations

    Brandon Lucia;Joseph Devietti;Karin Strauss;Luis Ceze

  • DNA assembly for nanopore data storage readout.

    Randolph Lopez;Yuan Jyue Chen;Siena Dumas Ang;Sergey Yekhanin

  • An Overview of the BlueGene/L Supercomputer

    Unknown

  • High density DNA data storage library via dehydration with digital microfluidic retrieval.

    Sharon Newman;Ashley P. Stephenson;Max Willsey;Bichlien H. Nguyen;Bichlien H. Nguyen

  • Pocket cloudlets

    Emmanouil Koukoumidis;Dimitrios Lymberopoulos;Karin Strauss;Jie Liu

  • Self-calibrating Online Wearout Detection

    Jason Blome;Shuguang Feng;Shantanu Gupta;Scott Mahlke

  • Tasking with out-of-order spawn in TLS chip multiprocessors: microarchitecture and compilation

    Jose Renau;James Tuck;Wei Liu;Luis Ceze

  • A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication

    Jeremy Fowers;Kalin Ovtcharov;Karin Strauss;Eric S. Chung

  • Conflict exceptions: simplifying concurrent language semantics with precise hardware exceptions for data-races

    Brandon Lucia;Luis Ceze;Karin Strauss;Shaz Qadeer

  • Atomic In-place Updates for Non-volatile Main Memories with Kamino-Tx

    Amirsaman Memaripour;Anirudh Badam;Amar Phanishayee;Yanqi Zhou

  • Uncorq: Unconstrained Snoop Request Delivery in Embedded-Ring Multiprocessors

    Karin Strauss;Xiaowei Shen;Josep Torrellas

  • Goldilocks and the two mobile devices: going beyond all-or-nothing access to a device's applications

    Eiji Hayashi;Oriana Riva;Karin Strauss;A. J. Bernheim Brush

Frequent Co-Authors

Luis Ceze
Luis Ceze University of Washington
Sergey Yekhanin
Sergey Yekhanin Microsoft (United States)
Georg Seelig
Georg Seelig University of Washington
Josep Torrellas
Josep Torrellas University of Illinois at Urbana-Champaign
Konstantin Makarychev
Konstantin Makarychev Northwestern University
José E. Moreira
José E. Moreira IBM (United States)
Doug Burger
Doug Burger Microsoft (United States)
George Almasi
George Almasi IBM (United States)
Mark S. Manasse
Mark S. Manasse Microsoft (United States)

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