World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5471
World Ranking
12560
National Ranking
484

Jakub Kurzak 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 Jakub Kurzak 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: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Jakub Kurzak 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 Jakub Kurzak 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Jakub Kurzak is affiliated with Advanced Micro Devices (Canada) in Canada, specializing in research within the field of Computer Science. Their work predominantly focuses on areas related to Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Scientific Computing and Data Management, Numerical Methods and Algorithms, Matrix Theory and Algorithms, ATP Synthase and ATPases Research, and Interconnection Networks and Systems.

The scientist has contributed to research published in various venues, with a notable emphasis on the following:

  • arXiv (Cornell University)
  • ACM Transactions on Mathematical Software
  • Procedia Computer Science

Among the recent papers published or co-authored by Jakub Kurzak are:

  • "A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines," 2021, ACM Transactions on Mathematical Software
  • "Quantum ESPRESSO towards performance portability: GPU offload with OpenMP," 2024, Procedia Computer Science
  • "Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials," 2024, arXiv (Cornell University)
  • "Optimizing High-Performance Linpack for Exascale Accelerated Architectures," 2023, arXiv (Cornell University)
  • "Experiences Readying Applications for Exascale," 2023, arXiv (Cornell University)

Jakub Kurzak often collaborates with other researchers. Frequent co-authors include:

  • Dmytro Bykov
  • Noel Chalmers
  • Damon McDougall
  • Paul T. Bauman
  • Ahmad Abdelfattah

The scientist's research intersects several subfields of Computer Science, such as Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics, Information Systems and Management, and Molecular Biology. These subfields reflect the multidisciplinary nature of their work, linking computational methods with applications potentially extending into molecular biology.

Best Publications

  • A class of parallel tiled linear algebra algorithms for multicore architectures

    Alfredo Buttari;Julien Langou;Jakub Kurzak;Jack Dongarra

  • Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects

    Emmanuel Agullo;Jim Demmel;Jack Dongarra;Bilel Hadri

  • Accelerating Scientific Computations with Mixed Precision Algorithms

    Marc Baboulin;Alfredo Buttari;Jack J. Dongarra;Jack J. Dongarra;Jack J. Dongarra;Jakub Kurzak

  • Parallel tiled QR factorization for multicore architectures

    Alfredo Buttari;Julien Langou;Jakub Kurzak;Jack Dongarra

  • Flexible Development of Dense Linear Algebra Algorithms on Massively Parallel Architectures with DPLASMA

    George Bosilca;Aurelien Bouteiller;Anthony Danalis;Mathieu Faverge

  • Exploiting the performance of 32 bit floating point arithmetic in obtaining 64 bit accuracy (revisiting iterative refinement for linear systems)

    Julie Langou;Julien Langou;Piotr Luszczek;Jakub Kurzak

  • Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems

    Alfredo Buttari;Jack Dongarra;Julie Langou;Julien Langou

  • The impact of multicore on math software

    Alfredo Buttari;Jack Dongarra;Jakub Kurzak;Julien Langou

  • Autotuning GEMM Kernels for the Fermi GPU

    J. Kurzak;S. Tomov;J. Dongarra

  • QUARK Users' Guide: QUeueing And Runtime for Kernels

    Asim YarKhan;Jakub Kurzak;Jack Dongarra

  • Solving Systems of Linear Equations on the CELL Processor Using Cholesky Factorization

    J. Kurzak;A. Buttari;J. Dongarra

  • Scheduling dense linear algebra operations on multicore processors

    Jakub Kurzak;Hatem Ltaief;Jack Dongarra;Rosa M. Badia

  • Accelerating Numerical Dense Linear Algebra Calculations with GPUs

    Jack J. Dongarra;Jack J. Dongarra;Jack J. Dongarra;Mark Gates;Azzam Haidar;Jakub Kurzak

  • Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy

    Alfredo Buttari;Jack Dongarra;Jakub Kurzak;Piotr Luszczek

  • Scheduling dense linear algebra operations on multicore processors

    Unknown

  • Implementation of Mixed Precision in Solving Systems of Linear Equations on the Cell Processor

    Jakub Kurzak;Jack J. Dongarra;Jack J. Dongarra

  • The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale

    Jack J. Dongarra;Mark Gates;Azzam Haidar;Jakub Kurzak

  • Implementing linear algebra routines on multi-core processors with pipelining and a look ahead

    Jakub Kurzak;Jack Dongarra

  • Scientific Computing with Multicore and Accelerators

    Jakub Kurzak;Jakub Kurzak;David A. Bader;Jack Dongarra

  • QR factorization for the Cell Broadband Engine

    Jakub Kurzak;Jack Dongarra

  • Optimizing matrix multiplication for a short-vector SIMD architecture - CELL processor

    Jakub Kurzak;Wesley Alvaro;Jack Dongarra

  • Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy

    Julie Langou;Julien Langou;Piotr Luszczek;Jakub Kurzak

  • Parallel Tiled QR Factorization for Multicore Architectures

    Alfredo Buttari;Julien Langou;Jakub Kurzak;Jack Dongarra

  • PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP

    Jack Dongarra;Mark Gates;Azzam Haidar;Jakub Kurzak

Frequent Co-Authors

Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Piotr Luszczek
Piotr Luszczek University of Tennessee at Knoxville
Stanimire Tomov
Stanimire Tomov University of Tennessee at Knoxville
George Bosilca
George Bosilca University of Tennessee at Knoxville
Rosa M. Badia
Rosa M. Badia Barcelona Supercomputing Center
Thomas Herault
Thomas Herault University of Tennessee at Knoxville
James Demmel
James Demmel University of California, Berkeley
Yves Robert
Yves Robert École Normale Supérieure de Lyon
Katherine Yelick
Katherine Yelick University of California, Berkeley
David A. Bader
David A. Bader New Jersey Institute of Technology

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