World's Best Scientists 2026 revealed!
Award Badge
Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
142
Citations
98413
World Ranking
57
National Ranking
32

Jack Dongarra 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 Jack Dongarra 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: 1,587 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Jack Dongarra 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 Jack Dongarra 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: 142 D-Index — 100th percentile

100% 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 - Member of the National Academy of Sciences
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2021 - A. M. Turing Award for pioneering contributions to numerical algorithms and software that have driven decades of extraordinary progress in computing performance and applications
  • 2019 - Fellow of the Royal Society, United Kingdom
  • 2019 - SIAM/ACM Prize in Computational Science and Engineering For his key role in the development of software and software standards, software repositories, performance and benchmarking software, and in community efforts to prepare for the challenges of exascale computing, especially in adapting linear algebra infrastructure to emerging architectures.
  • 2013 - ACM - IEEE CS Ken Kennedy Award For influential contributions to mathematical software, performance measurement, and parallel programming, and significant leadership and service within the HPC community
  • 2009 - SIAM Fellow For contributions to numerical linear algebra, including EISPACK, LINPACK, and LAPACK, and high-performance computing.
  • 2001 - Member of the National Academy of Engineering For contributions to numerical software, parallel and distributed computation, and problem-solving environments.
  • 2001 - ACM Fellow For contributions in the field of scientific computing, the development of mathematical software, parallel methods, and enabling technologies for high-performance computing.
  • 2000 - IEEE Fellow For contributions and leadership in the field of computational mathematics.
  • 1994 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Jack Dongarra is affiliated with the University of Tennessee at Knoxville in the United States. Their research primarily focuses on computer science, with a notable concentration in parallel computing and optimization techniques, scientific computing and data management, and numerical methods and algorithms.

Recent publications by Dongarra include:

  • A survey of numerical linear algebra methods utilizing mixed-precision arithmetic, 2021, The International Journal of High Performance Computing Applications
  • Mixed-precision iterative refinement using tensor cores on GPUs to accelerate solution of linear systems, 2020, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
  • Efficient exascale discretizations: High-order finite element methods, 2021, The International Journal of High Performance Computing Applications
  • Load-balancing Sparse Matrix Vector Product Kernels on GPUs, 2020, ACM Transactions on Parallel Computing
  • Numerical algorithms for high-performance computational science, 2020, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences

Dongarra has collaborated frequently with several researchers, including:

  • Stanimire Tomov
  • Valeria V. Krzhizhanovskaya
  • P.M.A. Sloot
  • Maciej Paszyński
  • Piotr Łuszczek

Their work has appeared repeatedly in key publication venues such as:

  • Proceedings of the IEEE
  • Journal of Computational Science
  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • IEEE Transactions on Parallel and Distributed Systems

Jack Dongarra has contributed to book publications primarily with Springer Science+Business Media, including titles like "Computational Science - ICCS" (2020-2022) and "Parallel Processing and Applied Mathematics" (2020 and 2023).

Their main areas of study cover a wide range of subfields within computer science, including:

  • Computer Networks and Communications
  • Hardware and Architecture
  • Computational Theory and Mathematics
  • Information Systems and Management
  • Artificial Intelligence

Research topics central to Dongarra's work include:

  • Parallel Computing and Optimization Techniques
  • Scientific Computing and Data Management
  • Distributed and Parallel Computing Systems
  • Numerical Methods and Algorithms
  • Matrix Theory and Algorithms
  • Advanced Data Storage Technologies
  • Cloud Computing and Resource Management

Over the course of their career, Dongarra has received numerous awards and recognitions, such as:

  • Fellow of the Royal Society, United Kingdom, 2019
  • SIAM/ACM Prize in Computational Science and Engineering, 2019, for development of software, standards, and community efforts preparing for exascale computing
  • ACM - IEEE CS Ken Kennedy Award, 2013, for contributions to mathematical software and parallel programming
  • SIAM Fellow, 2009, for work in numerical linear algebra and high-performance computing
  • Member of the National Academy of Engineering, 2001, for contributions to numerical software and parallel computation
  • ACM Fellow, 2001, recognizing contributions in scientific computing and mathematical software
  • IEEE Fellow, 2000, for leadership in computational mathematics
  • Fellow of the American Association for the Advancement of Science (AAAS), 1994

Best Publications

  • LINPACK Users' Guide

    J. J. Dongarra;C. B. Moler;J. R. Bunch;G. W. Stewart

  • PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing

    Al Geist;Adam Beguelin;Jack Dongarra;Weicheng Jiang

  • A set of level 3 basic linear algebra subprograms

    J. J. Dongarra;Jeremy Du Croz;Sven Hammarling;I. S. Duff

  • ScaLAPACK Users' Guide

    L. S. Blackford;J. Choi;A. Cleary;E. D'Azevedo

  • ScaLAPACK user's guide

    L. S. Blackford;J. Choi;A. Cleary;E. D'Azeuedo

  • Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation

    Edgar Gabriel;Graham E. Fagg;George Bosilca;Thara Angskun

  • MPI: The Complete Reference

    Marc Snir;Steve W. Otto;David W. Walker;Jack Dongarra

  • Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide

    James Demmel;Jack Dongarra;Axel Ruhe;Henk van der Vorst

  • Automatically Tuned Linear Algebra Software

    R. Clint Whaley;Jack J. Dongarra

  • The LINPACK Benchmark: past, present and future

    Jack J. Dongarra;Piotr Luszczek;Antoine Petitet

  • Automated empirical optimizations of software and the ATLAS project

    Unknown

  • Performance of various computers using standard linear equations software

    Jack J. Dongarra

  • An Updated Set of Basic Linear Algebra Subprograms (BLAS)

    Susan Blackford;James Demmel;Jack Dongarra;Iain Duff

  • LINPACK User's Guide.

    Virginia Klema;J. J. Dongarra;J. R. Bunch;C. B. Moler

  • NetSolve: a network server for solving computational science problems

    Henri Casanova;Jack Dongarra

  • An extended set of FORTRAN basic linear algebra subprograms

    Jack J. Dongarra;Jeremy Du Croz;Sven Hammarling;Richard J. Hanson

  • A Portable Programming Interface for Performance Evaluation on Modern Processors

    S. Browne;J. Dongarra;N. Garner;G. Ho

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • Matrix Eigensystem Routines - EISPACK Guide Extension

    Burton S Garbow;James M Boyle;Jack Dongarra;Cleve B Moler

  • 2014 International Conference on Computational Science

    D. Abramson;M. Lees;V. Krzhizhanovskaya;J. Dongarra

  • ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance

    Laura Susan Blackford;J. Choi;A. Cleary;A. Petitet

  • Self-healing network for scalable fault-tolerant runtime environments

    Thara Angskun;Graham Fagg;George Bosilca;Jelena Pješivac-Grbović

  • An extended set of Fortran Basic Linear Algebra Subprograms: model implementation and test programs

    J.J. Dongarra;J. Du Croz;S. Hammarling;R.J. Hanson

Frequent Co-Authors

Stanimire Tomov
Stanimire Tomov University of Tennessee at Knoxville
Piotr Luszczek
Piotr Luszczek University of Tennessee at Knoxville
George Bosilca
George Bosilca University of Tennessee at Knoxville
Jakub Kurzak
Jakub Kurzak Advanced Micro Devices (Canada)
Thomas Herault
Thomas Herault University of Tennessee at Knoxville
Yves Robert
Yves Robert École Normale Supérieure de Lyon
Peter M. A. Sloot
Peter M. A. Sloot University of Amsterdam
James Demmel
James Demmel University of California, Berkeley
Henri Casanova
Henri Casanova University of Hawaii at Manoa
Danny C. Sorensen
Danny C. Sorensen Rice University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring careers with a Computer Science background opens doors across diverse industries. Beyond traditional tech roles, professionals can expand their expertise through specialized online degrees tailored to their goals. For those interested in leadership within technology-driven businesses, affordable online executive mba programs provide crucial management skills, blending business acumen with technical know-how.

Tech-focused library and information science has also risen in demand. Pursuing one of the most affordable online mlis programs equips graduates for roles in digital information management, archives, and research organizations.

Many students and professionals are drawn to affordable master degree online programs, which offer practical flexibility and cost savings while enhancing advanced technical skills.

For those looking to shape organizational change and guide teams on a larger scale, a phd leadership online can position graduates for high-level roles in both academic and corporate sectors.

Choosing the right online degree pathway can empower professionals with the skills and credentials needed to excel in the ever-evolving landscape of computer science and related fields.

Best Scientists Citing Jack Dongarra

Trending Scientists

Recently Published Articles