World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
9636
World Ranking
5892
National Ranking
2664

Nathalie Henry Riche 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 Nathalie Henry Riche 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 125 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Nathalie Henry Riche 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 Nathalie Henry Riche sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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

Nathalie Henry Riche is affiliated with Microsoft in the United States and conducts research primarily in the field of computer science. Their work spans several subfields including computer vision and pattern recognition, human-computer interaction, sociology and political science, information systems and management, and experimental and cognitive psychology.

The scientist's recent publications reflect a focus on data visualization, interactive technologies, and user behavior. Notable papers include:

  • Interactive Data Comics, 2021, IEEE Transactions on Visualization and Computer Graphics
  • Understanding Multi-Device Usage Patterns: Physical Device Configurations and Fragmented Workflows, 2022, CHI Conference on Human Factors in Computing Systems
  • Style Blink: Exploring Digital Inking of Structured Information via Handcrafted Styling as a First-Class Object, 2022, CHI Conference on Human Factors in Computing Systems
  • Data Analysis in the Era of Generative AI, 2024, arXiv (Cornell University)
  • Memory Recall for Data Visualizations in Mixed Reality, Virtual Reality, 3D and 2D, 2024, IEEE Transactions on Visualization and Computer Graphics

The key research topics covered are:

  • Data Visualization and Analytics
  • Video Analysis and Summarization
  • Multimedia Communication and Technology
  • Personal Information Management and User Behavior
  • Interactive and Immersive Displays
  • Usability and User Interface Design
  • Innovative Human-Technology Interaction

Frequent publication venues for the scientist include:

  • IEEE Transactions on Visualization and Computer Graphics
  • arXiv (Cornell University)
  • CHI Conference on Human Factors in Computing Systems

Collaborations are a significant aspect of Nathalie Henry Riche's research activity. Frequent coauthors include Hugo Romat, Ken Hinckley, Nicolai Marquardt, Bongshin Lee, and Steven M. Drucker.

Best Publications

  • NodeTrix: a Hybrid Visualization of Social Networks

    N. Henry;J.-D. Fekete;M.J. McGuffin

  • Task taxonomy for graph visualization

    Bongshin Lee;Catherine Plaisant;Cynthia Sims Parr;Jean-Daniel Fekete

  • MatrixExplorer: a Dual-Representation System to Explore Social Networks

    N. Henry;J.-D. Fekete

  • Research directions in data wrangling: visuatizations and transformations for usable and credible data

    Sean Kandel;Jeffrey Heer;Catherine Plaisant;Jessie Kennedy

  • More Than Telling a Story: Transforming Data into Visually Shared Stories

    Bongshin Lee;Nathalie Henry Riche;Petra Isenberg;Sheelagh Carpendale

  • Beyond Mouse and Keyboard: Expanding Design Considerations for Information Visualization Interactions

    Bongshin Lee;P. Isenberg;N. H. Riche;S. Carpendale

  • A Deeper Understanding of Sequence in Narrative Visualization

    Jessica Hullman;Steven Drucker;Nathalie Henry Riche;Bongshin Lee

  • SparkClouds: Visualizing Trends in Tag Clouds

    Bongshin Lee;Nathalie Henry Riche;Amy K Karlson;Sheelash Carpendale

  • ZAME: Interactive Large-Scale Graph Visualization

    N. Elmqvist;Thanh-Nghi Do;H. Goodell;N. Henry

  • Matrix reordering methods for table and network visualization

    Michael Behrisch;Benjamin Bach;Nathalie Henry Riche;Tobias Schreck

  • MatLink: enhanced matrix visualization for analyzing social networks

    Nathalie Henry;Jean-Daniel Fekete

  • PivotPaths: Strolling through Faceted Information Spaces

    M. Dork;Nathalie Henry Riche;G. Ramos;S. Dumais

  • Timelines Revisited: A Design Space and Considerations for Expressive Storytelling

    Matthew Brehmer;Bongshin Lee;Benjamin Bach;Nathalie Henry Riche

  • Design Study of LineSets, a Novel Set Visualization Technique

    B. Alper;N. Riche;G. Ramos;M. Czerwinski

  • Weighted graph comparison techniques for brain connectivity analysis

    Basak Alper;Benjamin Bach;Nathalie Henry Riche;Tobias Isenberg

  • Understanding self-reflection: how people reflect on personal data through visual data exploration

    Eun Kyoung Choe;Bongshin Lee;Haining Zhu;Nathalie Henry Riche

  • Untangling Euler Diagrams

    N H Riche;T Dwyer

  • Data-Driven Storytelling

    Nathalie Henry Riche;Christophe Hurter;Nicholas Diakopoulos;Sheelagh Carpendale

  • Understanding Data Videos: Looking at Narrative Visualization through the Cinematography Lens

    Fereshteh Amini;Nathalie Henry Riche;Bongshin Lee;Christophe Hurter

  • GraphTrail: analyzing large multivariate, heterogeneous networks while supporting exploration history

    Cody Dunne;Nathalie Henry Riche;Bongshin Lee;Ronald Metoyer

Frequent Co-Authors

Bongshin Lee
Bongshin Lee Microsoft (United States)
Sheelagh Carpendale
Sheelagh Carpendale Simon Fraser University
Benjamin Bach
Benjamin Bach University of Edinburgh
Ken Hinckley
Ken Hinckley Microsoft (United States)
Tim Dwyer
Tim Dwyer Monash University
Steven M. Drucker
Steven M. Drucker Microsoft (United States)
Eyal Ofek
Eyal Ofek Microsoft (United States)
Fanny Chevalier
Fanny Chevalier University of Toronto
Catherine Plaisant
Catherine Plaisant University of Maryland, College Park
Jean-Daniel Fekete
Jean-Daniel Fekete French Institute for Research in Computer Science and Automation - INRIA

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