World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
11676
World Ranking
3476
National Ranking
1675

Chris North 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 Chris North 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: 238 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Chris North 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 Chris North 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Chris North is affiliated with Virginia Tech in the United States and has a research focus primarily within the field of Computer Science. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Sociology and Political Science, and Ecological Modeling.

The main topics addressed in their research include Data Visualization and Analytics, Virtual Reality Applications and Impacts, Species Distribution and Climate Change, Advanced Text Analysis Techniques, Video Analysis and Summarization, Topic Modeling, and Semantic Web and Ontologies.

Chris North has published extensively, with notable recent papers including:

  • Evaluating the Benefits of the Immersive Space to Think, 2020, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
  • Exploring the Evolution of Sensemaking Strategies in Immersive Space to Think, 2022, IEEE Transactions on Visualization and Computer Graphics
  • A Survey on Event-Based News Narrative Extraction, 2023, ACM Computing Surveys
  • Interactive Artificial Intelligence: Designing for the "Two Black Boxes" Problem, 2020, Computer
  • Immersive Analytics 2.0: Spatial and Embodied Sensemaking, 2022, CHI Conference on Human Factors in Computing Systems Extended Abstracts

The venues in which their work frequently appears reflect the interdisciplinary nature of their research and include:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • Proceedings of the ACM on Human-Computer Interaction
  • Computing in Science & Engineering
  • 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

Among their frequent co-authors are:

  • John Wenskovitch
  • Brian Keith
  • Yalong Yang
  • Rebecca Faust
  • Doug A. Bowman

Best Publications

  • Toward measuring visualization insight

    C. North

  • Space to think: large high-resolution displays for sensemaking

    Christopher Andrews;Alex Endert;Chris North

  • An insight-based methodology for evaluating bioinformatics visualizations

    P. Saraiya;C. North;K. Duca

  • Snap-together visualization: a user interface for coordinating visualizations via relational schemata

    Chris North;Ben Shneiderman

  • The Value of Information Visualization

    Jean-Daniel Fekete;Jarke J. Wijk;John T. Stasko;Chris North

  • Move to improve: promoting physical navigation to increase user performance with large displays

    Robert Ball;Chris North;Doug A. Bowman

  • Semantic interaction for visual text analytics

    Alex Endert;Patrick Fiaux;Chris North

  • Home-centric visualization of network traffic for security administration

    Robert Ball;Glenn A. Fink;Chris North

  • Snap-together visualization

    Chris North;Ben Shneiderman

  • Information visualization on large, high-resolution displays: issues, challenges, and opportunities

    Christopher Andrews;Alex Endert;Beth Yost;Chris North

  • Information-rich virtual environments: theory, tools, and research agenda

    Doug A. Bowman;Chris North;Jian Chen;Nicholas F. Polys

  • Effects of tiled high-resolution display on basic visualization and navigation tasks

    Robert Ball;Chris North

  • The human is the loop: new directions for visual analytics

    Alex Endert;M. Shahriar Hossain;Naren Ramakrishnan;Chris North

  • An Insight-Based Longitudinal Study of Visual Analytics

    P. Saraiya;C. North;V. Lam;K.A. Duca

  • Visualizing biological data-now and in the future.

    Seán I. O’Donoghue;Anne Claude Gavin;Nils Gehlenborg;David S. Goodsell

  • Information Visualization: Human-Centered Issues and Perspectives

    Andreas Kerren;John T. Stasko;Jean-Daniel Fekete;Chris North

  • A Taxonomy of Multiple Window Coordinations

    Chris North;Ben Shneiderman

  • Observation-level interaction with statistical models for visual analytics

    Alex Endert;Chao Han;Dipayan Maiti;Leanna House

  • Semantic Interaction for Sensemaking: Inferring Analytical Reasoning for Model Steering

    A. Endert;P. Fiaux;C. North

  • Beyond visual acuity: the perceptual scalability of information visualizations for large displays

    Beth Yost;Yonca Haciahmetoglu;Chris North

  • An Evaluation of Microarray Visualization Tools for Biological Insight

    P. Saraiya;C. North;K. Duca

Frequent Co-Authors

Alex Endert
Alex Endert Georgia Institute of Technology
Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech
Doug A. Bowman
Doug A. Bowman Virginia Tech
Ben Shneiderman
Ben Shneiderman University of Maryland, College Park
Jean-Daniel Fekete
Jean-Daniel Fekete French Institute for Research in Computer Science and Automation - INRIA
John Stasko
John Stasko Georgia Institute of Technology
Jian Chen
Jian Chen The Ohio State University
Catherine Plaisant
Catherine Plaisant University of Maryland, College Park
Edward A. Fox
Edward A. Fox Virginia Tech
Steven M. Drucker
Steven M. Drucker Microsoft (United States)

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