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Computer Science
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 142 57 54 32 30 1587 98413

Jack Dongarra publications per year

The chart shows the history of publications by Jack Dongarra between 1970 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jack Dongarra published across 56 years, from 1970 to 2025, averaging 29.3 papers a year. Output peaked at 88 publications in 2011. 13 of the 1,640 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1970 to 2025. Vertical axis: number of publications, 0 to 88. Peak 88 publications in 2011. 1970: 1 publication 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 1 publication 1975: 1 publication 1976: 1 publication 1977: 1 publication 1978: 0 publications 1979: 12 publications 1980: 5 publications 1981: 0 publications 1982: 2 publications 1983: 4 publications 1984: 12 publications 1985: 7 publications 1986: 10 publications 1987: 18 publications 1988: 9 publications 1989: 15 publications 1990: 20 publications 1991: 21 publications 1992: 17 publications 1993: 30 publications 1994: 37 publications 1995: 44 publications 1996: 42 publications 1997: 47 publications 1998: 48 publications 1999: 37 publications 2000: 26 publications 2001: 51 publications 2002: 41 publications 2003: 57 publications 2004: 39 publications 2005: 56 publications 2006: 64 publications 2007: 53 publications 2008: 48 publications 2009: 59 publications 2010: 51 publications 2011: 88 publications 2012: 57 publications 2013: 49 publications 2014: 55 publications 2015: 61 publications 2016: 49 publications 2017: 61 publications 2018: 57 publications 2019: 53 publications 2020: 53 publications 2021: 25 publications 2022: 21 publications 2023: 11 publications 2024: 11 publications 2025: 2 publications
1970 2025

1,640 publications in total across all disciplines

View publications per year as a table
Jack Dongarra: publications per year, 1970 to 2025
Year Publications
1970 1
1971 0
1972 0
1973 0
1974 1
1975 1
1976 1
1977 1
1978 0
1979 12
1980 5
1981 0
1982 2
1983 4
1984 12
1985 7
1986 10
1987 18
1988 9
1989 15
1990 20
1991 21
1992 17
1993 30
1994 37
1995 44
1996 42
1997 47
1998 48
1999 37
2000 26
2001 51
2002 41
2003 57
2004 39
2005 56
2006 64
2007 53
2008 48
2009 59
2010 51
2011 88
2012 57
2013 49
2014 55
2015 61
2016 49
2017 61
2018 57
2019 53
2020 53
2021 25
2022 21
2023 11
2024 11
2025 2
Total 1,640
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 991+ publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100 1,587
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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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 131+ D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98 142
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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

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