World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
12659
World Ranking
4777
National Ranking
2224

John R. Gilbert 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 John R. Gilbert 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: 136 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

John R. Gilbert 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 John R. Gilbert 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: 53 D-Index — 67th percentile

67% 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

  • 2010 - SIAM Fellow For contributions to the development and analysis of algorithms for sparse matrix problems.
  • 1938 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

John R. Gilbert is affiliated with the University of California, Santa Barbara in the United States. Their research spans the fields of Biochemistry, Genetics and Molecular Biology, as well as Physics and Astronomy. The subfields they have contributed to include Molecular Biology, Radiation, Cell Biology, Immunology, and Cancer Research.

Their recent scholarly outputs cover diverse topics such as Advanced X-ray Imaging Techniques, Bioinformatics and Genomic Networks, CRISPR and Genetic Engineering, Single-cell and spatial transcriptomics, Hippo pathway signaling and YAP/TAZ, interferon and immune responses, and Cancer Genomics and Diagnostics.

Notable recent publications include:

  • A comprehensive clinically informed map of dependencies in cancer cells and framework for target prioritization (2024, Cancer Cell)
  • Genome-wide CRISPR screens of oral squamous cell carcinoma reveal fitness genes in the Hippo pathway (2020, eLife)
  • Stability of electron ptychography at low electron dose (2025, Journal of Microscopy)
  • Ptychography at finite dose in SrTiO3 (2024, BIO Web of Conferences)

Frequent coauthors with whom they have published multiple times include Emanuel Gonçalves, Fiona M. Behan, Mathew J. Garnett, Malcolm Dearg, and Nick Michaelides.

Common venues for their research publications are Cancer Cell, eLife, Journal of Microscopy, and BIO Web of Conferences.

John R. Gilbert has been recognized with awards such as the SIAM Fellow in 2010, acknowledging contributions to algorithms for sparse matrix problems, and was designated a Fellow of the American Association for the Advancement of Science in 1938.

Best Publications

  • A Supernodal Approach to Sparse Partial Pivoting

    James W. Demmel;Stanley C. Eisenstat;John R. Gilbert;Xiaoye S. Li

  • Sparse matrices in matlab: design and implementation

    John R. Gilbert;Cleve Moler;Robert Schreiber

  • Provably good mesh generation

    M. Bern;D. Eppstein;J. Gilbert

  • Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks

    Aydin Buluç;Jeremy T. Fineman;Matteo Frigo;John R. Gilbert

  • The Combinatorial BLAS: design, implementation, and applications

    Aydın Buluç;John R Gilbert

  • Graph Algorithms in the Language of Linear Algebra

    Jeremy Kepner;John Gilbert

  • Approximating treewidth, pathwidth, frontsize, and shortest elimination tree

    Hans L. Bodlaender;John R. Gilbert;Hjálmtýr Hafsteinsson;Ton Kloks

  • An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian Elimination

    James W. Demmel;John R. Gilbert;Xiaoye S. Li

  • A Separator Theorem for Graphs of Bounded Genus

    John R. Gilbert;Joan P. Hutchinson;Robert Endre Tarjan

  • Geometric Mesh Partitioning: Implementation and Experiments

    John R. Gilbert;Gary L. Miller;Shang-Hua Teng

  • A column approximate minimum degree ordering algorithm

    Timothy A. Davis;John R. Gilbert;Stefan I. Larimore;Esmond G. Ng

  • Sparse Partial Pivoting in Time Proportional to Arithmetic Operations

    John R. Gilbert;Timothy Peierls

  • 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

  • On the representation and multiplication of hypersparse matrices

    A. Buluc;J.R. Gilbert

  • Mathematical foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydin Buluc

  • SuperLU Users'' Guide

    James W. Demmel;John Gilbert;Xiaoye S. Li

  • Parallel Sparse Matrix-Matrix Multiplication and Indexing: Implementation and Experiments

    Aydin Buluç;John R. Gilbert

  • Automatic array alignment in data-parallel programs

    Siddhartha Chatterjee;John R. Gilbert;Robert Schreiber;Shang-Hua Teng

  • Graph theory and sparse matrix computation

    Alan George;J. R. Gilbert;Joseph W. H. Liu

  • Mathematical Foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydın Buluc

  • An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian

    James W. Demmel;John Gilbert;Xiaoye S. Li

Frequent Co-Authors

Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory
Robert Schreiber
Robert Schreiber Cerebras Systems
Leonid Oliker
Leonid Oliker Lawrence Berkeley National Laboratory
Shang-Hua Teng
Shang-Hua Teng University of Southern California
David A. Bader
David A. Bader New Jersey Institute of Technology
Robert E. Tarjan
Robert E. Tarjan Princeton University
Gary L. Miller
Gary L. Miller Carnegie Mellon University
Joseph E. Gonzalez
Joseph E. Gonzalez University of California, Berkeley
Sivan Toledo
Sivan Toledo Tel Aviv University

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