World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
20956
World Ranking
3008
National Ranking
1477

John D. Owens 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 D. Owens 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

John D. Owens 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 D. Owens 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: 61 D-Index — 79th percentile

79% 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)

Overview

John D. Owens is affiliated with the University of California, Davis, in the United States. Their research primarily spans the field of Computer Science with a focus on various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Hardware and Architecture, and Computer Graphics and Computer-Aided Design.

Owens has contributed to topics such as Graph Theory and Algorithms, Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Computer Graphics and Visualization Techniques, Cloud Computing and Resource Management, Interconnection Networks and Systems, and Algorithms and Data Compression.

Their scholarly output includes publications in several noteworthy venues, among them:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • ACM Transactions on Mathematical Software
  • 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  • Proceedings of the ACM on Computer Graphics and Interactive Techniques

Recent published papers by Owens include:

  • "Energy-based Out-of-distribution Detection," 2020, arXiv (Cornell University)
  • "GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU," 2022, ACM Transactions on Mathematical Software
  • "Energy-based out-of-distribution detection," 2025, eScholarship (California Digital Library)
  • "RXMesh," 2021, ACM Transactions on Graphics
  • "Essentials of Parallel Graph Analytics," 2022, 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

Frequent collaborators of Owens include Serban D. Porumbescu, Ahmed H. Mahmoud, Muhammad A. Awad, Zhongyi Lin, and Louis Feng.

Owens has received recognition from professional organizations, notably being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2020.

Best Publications

  • A Survey of General-Purpose Computation on Graphics Hardware

    John D. Owens;David Luebke;Naga Govindaraju;Mark Harris

  • GPU Computing

    J.D. Owens;M. Houston;D. Luebke;S. Green

  • Memory access scheduling

    Scott Rixner;William J. Dally;Ujval J. Kapasi;Peter Mattson

  • Scan primitives for GPU computing

    Shubhabrata Sengupta;Mark Harris;Yao Zhang;John D. Owens

  • Research Challenges for On-Chip Interconnection Networks

    J.D. Owens;W.J. Dally;R. Ho;D.N. Jayasimha

  • Imagine: media processing with streams

    B. Khailany;W.J. Dally;U.J. Kapasi;P. Mattson

  • Energy-based Out-of-distribution Detection

    Weitang Liu;Xiaoyun Wang;John D. Owens;Yixuan Li

  • Programmable stream processors

    U.J. Kapasi;S. Rixner;W.J. Dally;B. Khailany

  • Register organization for media processing

    S. Rixner;W.J. Dally;B. Khailany;P. Mattson

  • Gunrock: a high-performance graph processing library on the GPU

    Yangzihao Wang;Andrew Davidson;Yuechao Pan;Yuduo Wu

  • GPGPU: general-purpose computation on graphics hardware

    David Luebke;Mark Harris;Naga Govindaraju;Aaron Lefohn

  • A quantitative performance analysis model for GPU architectures

    Yao Zhang;John D. Owens

  • The Imagine Stream Processor

    U.J. Kapasi;W.J. Dally;S. Rixner;J.D. Owens

  • A bandwidth-efficient architecture for media processing

    Scott Rixner;William J. Dally;Ujval J. Kapasi;Brucek Khailany

  • Fast tridiagonal solvers on the GPU

    Yao Zhang;Jonathan Cohen;John D. Owens

  • Multi-GPU MapReduce on GPU Clusters

    Jeff A. Stuart;John D. Owens

  • A study of Persistent Threads style GPU programming for GPGPU workloads

    Kshitij Gupta;Jeff A. Stuart;John D. Owens

  • Real-time parallel hashing on the GPU

    Dan A. Alcantara;Andrei Sharf;Fatemeh Abbasinejad;Shubhabrata Sengupta

  • Mathematical foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydin Buluc

  • Work-Efficient Parallel GPU Methods for Single-Source Shortest Paths

    Andrew Davidson;Sean Baxter;Michael Garland;John D. Owens

  • Glift: Generic, efficient, random-access GPU data structures

    Aaron E. Lefohn;Shubhabrata Sengupta;Joe Kniss;Robert Strzodka

Frequent Co-Authors

William J. Dally
William J. Dally Nvidia (United Kingdom)
Aaron Lefohn
Aaron Lefohn Nvidia (United States)
Scott Rixner
Scott Rixner Rice University
Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory
Brucek Khailany
Brucek Khailany Nvidia (United States)
David Luebke
David Luebke Nvidia (United States)
Chandrajit L. Bajaj
Chandrajit L. Bajaj The University of Texas at Austin
Kenneth I. Joy
Kenneth I. Joy University of California, Davis
Nina Amenta
Nina Amenta University of California, Davis
Naga K. Govindaraju
Naga K. Govindaraju Microsoft (United States)

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