World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7225
World Ranking
7277
National Ranking
3175

Jason Leigh 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 Jason Leigh 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: 243 publications — 60th percentile

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

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

Jason Leigh 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 Jason Leigh 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Jason Leigh is affiliated with the University of Hawaii at Manoa in the United States and specializes in Computer Science. Their research encompasses several subfields including Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Information Systems and Management, and Computer Networks and Communications.

Their work addresses various main topics such as Data Visualization and Analytics, Virtual Reality Applications and Impacts, Interactive and Immersive Displays, Semantic Web and Ontologies, Augmented Reality Applications, Scientific Computing and Data Management, and Video Analysis and Summarization.

Jason Leigh has contributed publications to multiple academic venues. Some of the frequent publication platforms include:

  • arXiv (Cornell University)
  • Practice and Experience in Advanced Research Computing
  • Nature Computational Science
  • Proceedings of the ACM on Human-Computer Interaction
  • Symposium on Spatial User Interaction

Collaborations form an important part of their research profile, with frequent co-authors being:

  • Nurit Kirshenbaum
  • Roderick Tabalba
  • Ryan Theriot
  • Kari Noe
  • Luc Renambot

Their recent publications highlight contributions to topics related to indigenous perspectives in technology, virtual heritage, spatial interaction, and AI-guided research collections. Notable papers include:

  • "Indigenous Protocol and Artificial Intelligence Position Paper" (2020), published in Spectrum Research Repository (Concordia University)
  • "Virtual Heritage at iGrid 2000" (2023), published in arXiv (Cornell University)
  • "Traces of Time through Space" (2021), published in Proceedings of the ACM on Human-Computer Interaction
  • "Translating The Benefits Of Wide-band Display Environments Into An XR Space" (2021), published in Symposium on Spatial User Interaction
  • "Exploring Collections of research publications with Human Steerable AI" (2020), published in Practice and Experience in Advanced Research Computing

Best Publications

  • Learning and Building Together in an Immersive Virtual World

    Maria Roussos;Andrew Johnson;Thomas Moher;Jason Leigh

  • Reliable Blast UDP : predictable high performance bulk data transfer

    E. He;J. Leigh;O. Yu;T.A. Defanti

  • CAVE2: a hybrid reality environment for immersive simulation and information analysis

    Alessandro Febretti;Arthur Nishimoto;Terrance Thigpen;Jonas Talandis

  • The NICE project: learning together in a virtual world

    A. Johnson;M. Roussos;J. Leigh;C. Vasilakis

  • Scientists in wonderland: A report on visualization applications in the CAVE virtual reality environment

    C. Cruz-Neira;J. Leigh;M. Papka;C. Barnes

  • The OptIPuter

    Larry L. Smarr;Andrew A. Chien;Tom DeFanti;Jason Leigh

  • SAGE: the Scalable Adaptive Graphics Environment

    Luc Renambot;Anil S. Rao;Rajvikram Singh;Byungil Jeong

  • High-performance dynamic graphics streaming for scalable adaptive graphics environment

    Byungil Jeong;Luc Renambot;Ratko Jagodic;Rajvikram Singh

  • Multi-perspective collaborative design in persistent networked virtual environments

    J. Leigh;A.E. Johnson;C.A. Vasilakis;T.A. DeFanti

  • Advances in the Dynallax Solid-State Dynamic Parallax Barrier Autostereoscopic Visualization Display System

    T. Peterka;R.L. Kooima;D.J. Sandin;A. Johnson

  • A review of tele-immersive applications in the CAVE research network

    J. Leigh;A.E. Johnson;T.A. DeFanti;M. Brown

  • SAGE2: A new approach for data intensive collaboration using Scalable Resolution Shared Displays

    Thomas Marrinan;Jillian Aurisano;Arthur Nishimoto;Krishna Bharadwaj

  • The future of the CAVE

    Thomas A. DeFanti;Daniel Acevedo;Richard A. Ainsworth;Maxine D. Brown

  • NICE: combining constructionism, narrative and collaboration in a virtual learning environment

    Maria Roussos;Andrew E. Johnson;Jason Leigh;Christina A. Vasilakis

  • Visualizing Large, Heterogeneous Data in Hybrid-Reality Environments

    K. Reda;A. Febretti;A. Knoll;J. Aurisano

  • CAVERNsoft G2: a toolkit for high performance tele-immersive collaboration

    Kyoung S. Park;Yong J. Cho;Naveen K. Krishnaprasad;Chris Scharver

  • Application experiences with the Globus toolkit

    S. Brunett;K. Czajkowski;S. Fitzgerald;I. Foster

  • Visualizing object-oriented software in virtual reality

    J.I. Maletic;J. Leigh;A. Marcus;G. Dunlap

  • Indigenous Protocol and Artificial Intelligence Position Paper

    Jason Edward Lewis;Angie Abdilla;Noelani Arista;Kaipulaumakaniolono Baker

  • Visualizing the evolution of community structures in dynamic social networks

    Khairi Reda;Chayant Tantipathananandh;Andrew Johnson;Jason Leigh

  • Articulate: a semi-automated model for translating natural language queries into meaningful visualizations

    Yiwen Sun;Jason Leigh;Andrew Johnson;Sangyoon Lee

  • Learning and Building To-gether in an Immersive Virtual World In Presence

    Maria Roussos;Andrew Edward Johnson;Thomas G. Moher;Jason Leigh

Frequent Co-Authors

Andrew Johnson
Andrew Johnson University of Illinois at Chicago
Thomas A. DeFanti
Thomas A. DeFanti University of California, San Diego
Robert G. Grossman
Robert G. Grossman Houston Methodist
Robert V. Kenyon
Robert V. Kenyon University of Illinois at Chicago
Ronald F. DeMara
Ronald F. DeMara University of Central Florida
Masahiko Jinno
Masahiko Jinno Kagawa University
John A. Orcutt
John A. Orcutt University of California, San Diego
Rick Stevens
Rick Stevens Argonne National Laboratory
Andrew A. Chien
Andrew A. Chien University of Chicago
Erik De Schutter
Erik De Schutter Okinawa Institute of Science and Technology

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