World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
10010
World Ranking
5867
National Ranking
2658

Leonid Oliker 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 Leonid Oliker 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: 205 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Leonid Oliker 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 Leonid Oliker 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Leonid Oliker is affiliated with the Lawrence Berkeley National Laboratory in the United States. Their research focuses primarily on the field of Computer Science, with a particular emphasis on Computer Networks and Communications, Hardware and Architecture, and Information Systems. Their work also crosses into Molecular Biology and Food Science, reflecting a multidisciplinary approach.

Their scientific contributions cover several main topics, including Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques, and Cloud Computing and Resource Management. Additionally, they have contributed to studies involving Distributed and Parallel Computing Systems, Genomics and Phylogenetic Studies, Probiotics and Fermented Foods, and Gut Microbiota and Health.

Oliker's publication record includes papers in various venues: arXiv (Cornell University), Concurrency and Computation Practice and Experience, bioRxiv (Cold Spring Harbor Laboratory), the 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

  • Evaluating the potential of disaggregated memory systems for HPC applications, 2024, Concurrency and Computation Practice and Experience
  • GenomeFace: a deep learning-based metagenome binner trained on 43,000 microbial genomes, 2024, bioRxiv (Cold Spring Harbor Laboratory)
  • Preprocessing Pipeline Optimization for Scientific Deep Learning Workloads, 2022, 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings (FTL) v1.0, 2024, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • Evaluating the Potential of Disaggregated Memory Systems for HPC applications, 2023, arXiv (Cornell University)

Frequent collaborators in their research include Samuel Williams, Muaaz Gul Awan, Zhe Bai, Pieter Maris, and Hai Ah Nam. These partnerships have contributed to multiple projects and publications, particularly in areas related to high-performance computing and deep learning applications.

Best Publications

  • Optimization of sparse matrix-vector multiplication on emerging multicore platforms

    Samuel Williams;Leonid Oliker;Richard Vuduc;John Shalf

  • Optimization of sparse matrix-vector multiplication on emerging multicore platforms

    Samuel Williams;Leonid Oliker;Richard Vuduc;John Shalf

  • Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

    Kaushik Datta;Mark Murphy;Vasily Volkov;Samuel Williams

  • The potential of the cell processor for scientific computing

    Samuel Williams;John Shalf;Leonid Oliker;Shoaib Kamil

  • Optimization and Performance Modeling of Stencil Computations on Modern Microprocessors

    Kaushik Datta;Shoaib Kamil;Samuel Williams;Leonid Oliker

  • A whole-genome shotgun approach for assembling and anchoring the hexaploid bread wheat genome

    Jarrod A Chapman;Martin Mascher;Aydın Buluç;Kerrie Barry

  • An auto-tuning framework for parallel multicore stencil computations

    Shoaib Kamil;Cy Chan;Leonid Oliker;John Shalf

  • Implicit and explicit optimizations for stencil computations

    Shoaib Kamil;Kaushik Datta;Samuel Williams;Leonid Oliker

  • PLUM: parallel load balancing for adaptive unstructured meshes

    Leonid Oliker;Rupak Biswas

  • Reduced-Bandwidth Multithreaded Algorithms for Sparse Matrix-Vector Multiplication

    Aydin Buluç;Samuel Williams;Leonid Oliker;James Demmel

  • Job Superscheduler Architecture and Performance in Computational Grid Environments

    Hongzhang Shan;Leonid Oliker;Rupak Biswas

  • Scientific Computing Kernels on the Cell Processor

    Samuel W. Williams;John Shalf;Leonid Oliker;Shoaib Kamil

  • Lattice Boltzmann simulation optimization on leading multicore platforms

    S. Williams;J. Carter;L. Oliker;J. Shalf

  • Impact of modern memory subsystems on cache optimizations for stencil computations

    Shoaib Kamil;Parry Husbands;Leonid Oliker;John Shalf

  • Roofline Model Toolkit: A Practical Tool for Architectural and Program Analysis

    Yu Jung Lo;Samuel Williams;Brian Van Straalen;Terry J. Ligocki

  • Scientific Computations on Modern Parallel Vector Systems

    Leonid Oliker;Andrew Canning;Jonathan Carter;John Shalf

  • Analyzing Ultra-Scale Application Communication Requirements for a Reconfigurable Hybrid Interconnect

    John Shalf;Shoaib Kamil;Leonid Oliker;David Skinner

  • Effects of Ordering Strategies and Programming Paradigms on Sparse Matrix Computations

    Leonid Oliker;Xiaoye Li;Parry Husbands;Rupak Biswas

  • Parallel de bruijn graph construction and traversal for de novo genome assembly

    Evangelos Georganas;Aydin Buluc;Jarrod Chapman;Leonid Oliker

  • Investigation of leading HPC I/O performance using a scientific-application derived benchmark

    Julian Borrill;Leonid Oliker;John Shalf;Hongzhang Shan

  • Sparse Matrix-Vector Multiplication on Multicore and Accelerators

    Samuel Williams;Nathan Bell;Jee Whan Choi;Michael Garland

Frequent Co-Authors

Samuel Williams
Samuel Williams Lawrence Berkeley National Laboratory
John Shalf
John Shalf Lawrence Berkeley National Laboratory
Katherine Yelick
Katherine Yelick University of California, Berkeley
Rupak Biswas
Rupak Biswas Ames Research Center
Shoaib Kamil
Shoaib Kamil Adobe Systems (United States)
Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory
John R. Gilbert
John R. Gilbert University of California, Santa Barbara
David H. Bailey
David H. Bailey Lawrence Berkeley National Laboratory
Daniel S. Rokhsar
Daniel S. Rokhsar University of California, Berkeley
Michael F. Wehner
Michael F. Wehner Lawrence Berkeley National Laboratory

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