World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
13665
World Ranking
3628
National Ranking
1740

Jeffrey S. Vetter 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 Jeffrey S. Vetter 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: 328 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Jeffrey S. Vetter 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 Jeffrey S. Vetter 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

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2017 - IEEE Fellow For contributions to high performance computing
  • 2012 - ACM Distinguished Member
  • 2010 - ACM Gordon Bell Prize For "Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures"

Overview

Jeffrey S. Vetter is affiliated with Oak Ridge National Laboratory in the United States. Their research spans several areas within computer science and engineering, focusing extensively on high-performance computing and advanced data storage technologies.

The main fields of study for Jeffrey S. Vetter include:

  • Computer Science
  • Engineering

Subfields in which they have published substantially include:

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Information Systems

The primary topics of research covered by their work involve:

  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • Advanced Memory and Neural Computing
  • Cloud Computing and Resource Management
  • Ferroelectric and Negative Capacitance Devices
  • Scientific Computing and Data Management

Jeffrey S. Vetter has coauthored frequently with colleagues such as Aaron Young, Pedro Valero-Lara, Seyong Lee, Narasinga Rao Miniskar, and Prasanna Date.

Their publications have appeared regularly in venues including:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • IEEE Transactions on Parallel and Distributed Systems
  • 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  • Computing in Science & Engineering

Recent papers by Jeffrey S. Vetter include:

  • "A survey on processing-in-memory techniques: Advances and challenges" (2022), Memories - Materials Devices Circuits and Systems
  • "Bridging HPC Communities through the Julia Programming Language" (2022), arXiv (Cornell University)
  • "End-to-end online performance data capture and analysis for scientific workflows" (2020), Future Generation Computer Systems
  • "Understanding Performance Portability of Bioinformatics Applications in SYCL on an NVIDIA GPU" (2022), 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  • "Analysis of GPU Data Access Patterns on Complex Geometries for the D3Q19 Lattice Boltzmann Algorithm" (2021), IEEE Transactions on Parallel and Distributed Systems

Awards and recognitions earned by Jeffrey S. Vetter include:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • IEEE Fellow, 2017, for contributions to high performance computing
  • ACM Distinguished Member, 2012
  • ACM Gordon Bell Prize, 2010, for "Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures"

Best Publications

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • The Scalable Heterogeneous Computing (SHOC) benchmark suite

    Anthony Danalis;Gabriel Marin;Collin McCurdy;Jeremy S. Meredith

  • An Overview of the BlueGene/L Supercomputer

    N.R. Adiga;G. Almasi;G.S. Almasi;Y. Aridor

  • A Survey of CPU-GPU Heterogeneous Computing Techniques

    Sparsh Mittal;Jeffrey S. Vetter

  • NVIDIA Tensor Core Programmability, Performance & Precision

    Stefano Markidis;Steven Wei Der Chien;Erwin Laure;Ivy Bo Peng

  • Autopilot: adaptive control of distributed applications

    R.L. Ribler;J.S. Vetter;H. Simitci;D.A. Reed

  • A Survey of Software Techniques for Using Non-Volatile Memories for Storage and Main Memory Systems

    Sparsh Mittal;Jeffrey S. Vetter

  • Falcon: on-line monitoring and steering of large-scale parallel programs

    Weiming Gu;G. Eisenhauer;E. Kraemer;K. Schwan

  • A Survey of Methods for Analyzing and Improving GPU Energy Efficiency

    Sparsh Mittal;Jeffrey S. Vetter

  • Communication characteristics of large-scale scientific applications for contemporary cluster architectures

    J. S. Vetter;F. Mueller

  • Dynamic Software Testing of MPI Applications with Umpire

    Jeffrey S. Vetter;Bronis R. de Supinski

  • The future of scientific workflows

    Ewa Deelman;Tom Peterka;Ilkay Altintas;Christopher D. Carothers

  • Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures

    Abtin Rahimian;Ilya Lashuk;Shravan Veerapaneni;Aparna Chandramowlishwaran

  • Statistical scalability analysis of communication operations in distributed applications

    Jeffrey S. Vetter;Michael O. McCracken

  • A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-Volatile On-Chip Caches

    Sparsh Mittal;Jeffrey S. Vetter;Dong Li

  • Memphis: Finding and fixing NUMA-related performance problems on multi-core platforms

    Collin McCurdy;Jeffrey Vetter

  • Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science Community

    J. S. Vetter;R. Glassbrook;J. Dongarra;K. Schwan

  • DESTINY: a tool for modeling emerging 3D NVM and eDRAM caches

    Matt Poremba;Sparsh Mittal;Dong Li;Jeffrey S. Vetter

  • Characterization of Scientific Workloads on Systems with Multi-Core Processors

    Sadaf Alam;Richard Barrett;Jeffery Kuehn;Philip Roth

  • Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

    Jackie Kern;Jeffrey S. Vetter

  • Contemporary High Performance Computing : From Petascale toward Exascale, Volume 3

    Jeffrey S. Vetter

Frequent Co-Authors

Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Allen D. Malony
Allen D. Malony University of Oregon
Daniel A. Reed
Daniel A. Reed University of Utah
Xipeng Shen
Xipeng Shen North Carolina State University
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Allan Snavely
Allan Snavely University of California, San Diego
David H. Bailey
David H. Bailey Lawrence Berkeley National Laboratory
Piotr Luszczek
Piotr Luszczek University of Tennessee at Knoxville
Ewa Deelman
Ewa Deelman University of Southern California

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