World's Best Scientists 2026 revealed!
Robert Schreiber

Robert Schreiber

D-Index & Metrics

Computer Science

D-Index
58
Citations
21968
World Ranking
3543
National Ranking
1705

Robert Schreiber 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 Schreiber 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: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Robert Schreiber 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 Schreiber 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: 58 D-Index — 75th percentile

75% 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

  • 2012 - ACM Fellow For contributions to matrix computations and to languages, compilers, and architectures for parallel scientific computing.
  • 2010 - SIAM Fellow For contributions to parallel and high performance computing, and algorithms for matrix computations.
  • 2006 - ACM Distinguished Member

Overview

Robert Schreiber is affiliated with Cerebras Systems in the United States. Their research spans multiple fields including Engineering, Materials Science, and Computer Science, with a notable focus on subfields such as Electrical and Electronic Engineering, Materials Chemistry, Artificial Intelligence, Computational Theory and Mathematics, and Biomaterials.

Their work addresses a range of specialized topics including Machine Learning in Materials Science, Ferroelectric and Negative Capacitance Devices, Advanced Memory and Neural Computing, Numerical Methods and Algorithms, Machine Learning and Algorithms, Neural Networks and Applications, and Optical Network Technologies.

Schreiber's recent papers showcase contributions across these interdisciplinary areas. They include:

  • Breaking the mold: Overcoming the time constraints of molecular dynamics on general-purpose hardware, 2025, The Journal of Chemical Physics
  • Representation range needs for 16-bit neural network training, 2021, arXiv (Cornell University)
  • RETROSPECTIVE: Corona: System Implications of Emerging Nanophotonic Technology, 2023, arXiv (Cornell University)
  • Programmable self-assembly for scalable molecular electronic architectures, 2025, arXiv (Cornell University)

The venues where Robert Schreiber frequently publishes include arXiv (Cornell University) and The Journal of Chemical Physics.

Their research collaborations involve several frequent co-authors such as Danny Pérez, Aidan P. Thompson, Stan Moore, Tomas Oppelstrup, and Ilya Sharapov.

Robert Schreiber has been recognized with several awards throughout their career. They were named an ACM Fellow in 2012 for contributions to matrix computations and to languages, compilers, and architectures for parallel scientific computing. They also received the SIAM Fellow distinction in 2010 for contributions to parallel and high performance computing, and algorithms for matrix computations. Additionally, they were honored as an ACM Distinguished Member in 2006.

Best Publications

  • The NAS parallel benchmarks—summary and preliminary results

    D. H. Bailey;E. Barszcz;J. T. Barton;D. S. Browning

  • The Nas Parallel Benchmarks

    D.H. Bailey;E. Barszcz;J.T. Barton;D.S. Browning

  • The High Performance Fortran Handbook

    Charles H. Koelbel;David B. Loveman;Robert S. Schreiber;Guy L. Steele

  • Large-Scale Parallel Collaborative Filtering for the Netflix Prize

    Yunhong Zhou;Dennis Wilkinson;Robert Schreiber;Rong Pan

  • Sparse matrices in matlab: design and implementation

    John R. Gilbert;Cleve Moler;Robert Schreiber

  • Corona: System Implications of Emerging Nanophotonic Technology

    Dana Vantrease;Robert Schreiber;Matteo Monchiero;Moray McLaren

  • Driven cavity flows by efficient numerical techniques

    R Schreiber;H.B Keller

  • A Storage-Efficient $WY$ Representation for Products of Householder Transformations

    Robert S. Schreiber;Charles Van Loan

  • Addressing failures in exascale computing

    Marc Snir;Robert W Wisniewski;Jacob A Abraham;Sarita V Adve

  • HyperX: topology, routing, and packaging of efficient large-scale networks

    Jung Ho Ahn;Nathan Binkert;Al Davis;Moray McLaren

  • Fast exact and heuristic methods for role minimization problems

    Alina Ene;William Horne;Nikola Milosavljevic;Prasad Rao

  • A New Implementation of Sparse Gaussian Elimination

    Robert Schreiber

  • Programmatic synthesis of processor element arrays

    Robert S. Schreiber;B. Ramakrishna Rau;Shail Aditya Gupta;Vinod K. Kathail

  • Generating local addresses and communication sets for data-parallel programs

    Siddhartha Chatterjee;John R. Gilbert;Fred J. E. Long;Robert Schreiber

  • Generating Local Addresses and Communication Sets for Data-Parallel Programs

    Siddhartha Chatterjee;John R. Gilbert;Fred J. E. Long;Robert Schreiber

  • Clustering social networks

    Nina Mishra;Robert Schreiber;Isabelle Stanton;Robert E. Tarjan

  • PICO: automatically designing custom computers

    V. Kathail;S. Aditya;R. Schreiber;B. Ramakrishna Rau

  • Average-case stability of Gaussian elimination

    Lloyd N. Trefethen;Robert S. Schreiber

  • Automatic Blocking of Nested Loops

    Jack Dongarra;Robert Schreiber

  • An improved Newton interaction for the generalized inverse of a Matrix, with applications

    Victor Pan;Robert Schreiber

Frequent Co-Authors

Norman P. Jouppi
Norman P. Jouppi Google (United States)
Jung Ho Ahn
Jung Ho Ahn Seoul National University
John R. Gilbert
John R. Gilbert University of California, Santa Barbara
Naveen Muralimanohar
Naveen Muralimanohar Google (United States)
Parthasarathy Ranganathan
Parthasarathy Ranganathan Google (United States)
Marco Fiorentino
Marco Fiorentino Hewlett Packard Enterprise (United States)
Paolo Faraboschi
Paolo Faraboschi Hewlett Packard Enterprise (United States)
Horst D. Simon
Horst D. Simon Lawrence Berkeley National Laboratory
Robert E. Tarjan
Robert E. Tarjan Princeton University
Qianfan Xu
Qianfan Xu Rice University

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