World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
23752
World Ranking
2156
National Ranking
1081

Katherine Yelick 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 Katherine Yelick 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: 309 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Katherine Yelick 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 Katherine Yelick 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: 67 D-Index — 85th percentile

85% 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

  • 2018 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2017 - Member of the National Academy of Engineering For software innovation and leadership in high-performance computing.
  • 2017 - Fellow of the American Academy of Arts and Sciences
  • 2015 - ACM - IEEE CS Ken Kennedy Award For advancing the programmability of HPC systems, strategic national leadership, and mentorship in academia and government labs.
  • 2013 - ACM Athena Lecturer Award For contributions to improving fundamental understanding and practice of parallel programming.
  • 2012 - ACM Fellow For contributions to parallel languages that improve programmer productivity.

Overview

Katherine Yelick is affiliated with the University of California, Berkeley in the United States. The main field of study is Computer Science, with numerous contributions in several subfields, including Artificial Intelligence, Molecular Biology, Computer Networks and Communications, Information Systems, and Hardware and Architecture.

Their research work spans several topics, focusing primarily on Parallel Computing and Optimization Techniques, Genomics and Phylogenetic Studies, as well as Caching and Content Delivery. Additional areas covered include Algorithms and Data Compression, Cloud Computing and Resource Management, Bioinformatics and Genomic Networks, and Data Stream Mining Techniques.

Recent papers by Katherine Yelick include:

  • "ADEPT: a domain independent sequence alignment strategy for gpu architectures," 2020, BMC Bioinformatics
  • "CloudBank: Managed Services to Simplify Cloud Access for Computer Science Research and Education," 2021, Practice and Experience in Advanced Research Computing
  • "QFAST: Quantum Synthesis Using a Hierarchical Continuous Circuit Space," 2020, arXiv (Cornell University)
  • "The parallelism motifs of genomic data analysis," 2020, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • "PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction," 2020, arXiv (Cornell University)

Frequent publication venues include:

  • arXiv (Cornell University)
  • BMC Bioinformatics
  • Practice and Experience in Advanced Research Computing
  • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • Journal of Logic and Analysis

Notable frequent co-authors are:

  • Aydın Buluç
  • Steven Hofmeyr
  • Oğuz Selvitopi
  • Leonid Oliker
  • Benjamin Brock

Katherine Yelick has received several professional recognitions, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2018
  • Fellow of the American Academy of Arts and Sciences, 2017
  • Member of the National Academy of Engineering, 2017, for software innovation and leadership in high-performance computing
  • ACM - IEEE CS Ken Kennedy Award, 2015, for advancing the programmability of HPC systems, strategic national leadership, and mentorship in academia and government labs
  • ACM Athena Lecturer Award, 2013, for contributions to improving fundamental understanding and practice of parallel programming
  • ACM Fellow, 2012, for contributions to parallel languages that improve programmer productivity

Best Publications

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

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

  • A case for intelligent RAM

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

  • Optimization of sparse matrix-vector multiplication on emerging multicore platforms

    Samuel Williams;Leonid Oliker;Richard Vuduc;John Shalf

  • Optimization of sparse matrix-vector multiplication on emerging multicore platforms

    Samuel Williams;Leonid Oliker;Richard Vuduc;John Shalf

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • A view of the parallel computing landscape

    Krste Asanovic;Rastislav Bodik;James Demmel;Tony Keaveny

  • Parallel programming in Split-C

    A. Krishnamurthy;D. E. Culler;A. Dusseau;S. C. Goldstein

  • Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

    Kaushik Datta;Mark Murphy;Vasily Volkov;Samuel Williams

  • Titanium: a high-performance Java dialect

    Katherine A. Yelick;Katherine A. Yelick;Luigi Semenzato;Luigi Semenzato;Geoff Pike;Geoff Pike;Carleton Miyamoto;Carleton Miyamoto

  • OSKI: A Library of Automatically Tuned Sparse Matrix Kernels

    Richard Vuduc;James W Demmel;Katherine A Yelick

  • The potential of the cell processor for scientific computing

    Samuel Williams;John Shalf;Leonid Oliker;Shoaib Kamil

  • Introduction to UPC and Language Specification

    William W. Carlson;Jesse M. Draper;David E. Culler;Kathy Yelick

  • Sparsity: Optimization Framework for Sparse Matrix Kernels

    Eun-Jin Im;Katherine Yelick;Richard Vuduc

  • UPC: Distributed Shared-Memory Programming

    Tarek El-Ghazawi;William Carlson;Thomas Sterling;Katherine Yelick

  • Optimization and Performance Modeling of Stencil Computations on Modern Microprocessors

    Kaushik Datta;Shoaib Kamil;Samuel Williams;Leonid Oliker

  • A whole-genome shotgun approach for assembling and anchoring the hexaploid bread wheat genome

    Jarrod A Chapman;Martin Mascher;Aydın Buluç;Kerrie Barry

  • Scalable processors in the billion-transistor era: IRAM

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

  • Self-Adapting Linear Algebra Algorithms and Software

    J. Demmel;J. Dongarra;V. Eijkhout;E. Fuentes

  • Cluster I/O with River: making the fast case common

    Remzi H. Arpaci-Dusseau;Eric Anderson;Noah Treuhaft;David E. Culler

  • UPC Language Specifications V1.1.1

    Tarek A. El-Ghazawi;George Washington;William W. Carlson;Jesse M. Draper

  • Optimization of Sparse Matrix-Vector Multiplication on EmergingMulticore Platforms

    Samuel W. Williams;Leonid Oliker;Richard Vuduc;John Shalf

  • Titanium: A High Performance Java Dialect.

    Arvind Krishnamurthy;Alexander Aiken;Phillip Colella

Frequent Co-Authors

Leonid Oliker
Leonid Oliker Lawrence Berkeley National Laboratory
Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory
James Demmel
James Demmel University of California, Berkeley
Samuel Williams
Samuel Williams Lawrence Berkeley National Laboratory
John Shalf
John Shalf Lawrence Berkeley National Laboratory
Arvind Krishnamurthy
Arvind Krishnamurthy University of Washington
David A. Patterson
David A. Patterson University of California, Berkeley
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Richard Vuduc
Richard Vuduc Georgia Institute of Technology
Tarek El-Ghazawi
Tarek El-Ghazawi George Washington University

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