World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
9989
World Ranking
4629
National Ranking
2152

Robert A. van de Geijn 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 Robert A. van de Geijn 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Robert A. van de Geijn 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 Robert A. van de Geijn 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Robert A. van de Geijn is affiliated with The University of Texas at Austin in the United States. Their research primarily spans the field of Computer Science, with a focus on subfields such as Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering, and Computational Mathematics.

The scientist's work encompasses a range of main research topics including Parallel Computing and Optimization Techniques, Interconnection Networks and Systems, Advanced Data Storage Technologies, Distributed and Parallel Computing Systems, Low-power high-performance VLSI design, Tensor decomposition and applications, and Cellular Automata and Applications.

Recent publications by Robert A. van de Geijn include:

  • Strassen's Algorithm Reloaded on GPUs (2020) published in ACM Transactions on Mathematical Software
  • Supporting Mixed-domain Mixed-precision Matrix Multiplication within the BLIS Framework (2021) published in ACM Transactions on Mathematical Software
  • A Tight I/O Lower Bound for Matrix Multiplication (2020) published in ACM Transactions on Mathematical Software
  • Cascading GEMM: High Precision from Low Precision (2023) published in arXiv (Cornell University)
  • GEMMFIP: Unifying GEMM in BLIS (2023) published in arXiv (Cornell University)

The scientist frequently publishes in venues such as arXiv (Cornell University) and ACM Transactions on Mathematical Software.

Frequent co-authors include Margaret Myers, Devangi N. Parikh, Jianyu Huang, Chenhan D. Yu, and Tyler Smith, reflecting collaboration across multiple recent works.

Best Publications

  • Anatomy of high-performance matrix multiplication

    Kazushige Goto;Robert A. van de Geijn

  • SUMMA: Scalable Universal Matrix Multiplication Algorithm

    Robert A. van de Geijn;Jerrell Watts

  • High-performance implementation of the level-3 BLAS

    Kazushige Goto;Robert Van De Geijn

  • BLIS: A Framework for Rapidly Instantiating BLAS Functionality

    Field G. Van Zee;Robert A. van de Geijn

  • FLAME: Formal Linear Algebra Methods Environment

    John A. Gunnels;Fred G. Gustavson;Greg M. Henry;Robert A. van de Geijn

  • Collective communication: theory, practice, and experience

    Ernie Chan;Marcel Heimlich;Avi Purkayastha;Robert A. van de Geijn

  • Using PLAPACK: parallel linear algebra package

    Robert A. van de Geijn

  • Elemental: A New Framework for Distributed Memory Dense Matrix Computations

    Jack Poulson;Bryan Marker;Robert A. van de Geijn;Jeff R. Hammond

  • The science of deriving dense linear algebra algorithms

    Paolo Bientinesi;John A. Gunnels;Margaret E. Myers;Enrique S. Quintana-Ortí

  • Programming matrix algorithms-by-blocks for thread-level parallelism

    Gregorio Quintana-Ortí;Enrique S. Quintana-Ortí;Robert A. Van De Geijn;Field G. Van Zee

  • Supermatrix out-of-order scheduling of matrix operations for SMP and multi-core architectures

    Ernie Chan;Enrique S. Quintana-Orti;Gregorio Quintana-Orti;Robert van de Geijn

  • Parallel out-of-core computation and updating of the QR factorization

    Brian C. Gunter;Robert A. Van De Geijn

  • Anatomy of High-Performance Many-Threaded Matrix Multiplication

    Tyler M. Smith;Robert van de Geijn;Mikhail Smelyanskiy;Jeff R. Hammond

  • Solving dense linear systems on platforms with multiple hardware accelerators

    Gregorio Quintana-Ortí;Francisco D. Igual;Enrique S. Quintana-Ortí;Robert A. van de Geijn

  • Broadcasting on Meshes with Wormhole Routing

    Michael Barnett;David G. Payne;Robert A. van de Geijn;Jerrell Watts

  • SuperMatrix: a multithreaded runtime scheduling system for algorithms-by-blocks

    Ernie Chan;Field G. Van Zee;Paolo Bientinesi;Enrique S. Quintana-Orti

  • A look at scalable dense linear algebra libraries

    J. Dongarra;R. van de Geijn;D. Walker

  • The libflame Library for Dense Matrix Computations

    Field G. Van Zee;Ernie Chan;Robert A. van de Geijn;Enrique S. Quintana-Ortí

  • The BLIS Framework: Experiments in Portability

    Field G. Van Zee;Tyler M. Smith;Bryan Marker;Tze Meng Low

  • A Note On Parallel Matrix Inversion

    Enrique S. Quintana;Gregorio Quintana;Xiaobai Sun;Robert vande Geijn

  • Representing linear algebra algorithms in code: the FLAME application program interfaces

    Paolo Bientinesi;Enrique S. Quintana-Ortí;Robert A. van de Geijn

Frequent Co-Authors

Enrique S. Quintana-Ortí
Enrique S. Quintana-Ortí Universitat Politècnica de València
John A. Gunnels
John A. Gunnels Nvidia (United States)
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Don Batory
Don Batory The University of Texas at Austin
Andreas Gerstlauer
Andreas Gerstlauer The University of Texas at Austin
Tamara G. Kolda
Tamara G. Kolda Independent Scientist / Consultant, US
Mikhail Smelyanskiy
Mikhail Smelyanskiy Nvidia (United States)
Fred G. Gustavson
Fred G. Gustavson Umeå University
Daniel S. Katz
Daniel S. Katz University of Illinois at Urbana-Champaign
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign

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