World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
14346
World Ranking
2923
National Ranking
1438

David S. Ebert 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 David S. Ebert 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: 370 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

David S. Ebert 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 David S. Ebert 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: 62 D-Index — 80th percentile

80% 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

  • 2009 - ACM Senior Member
  • 2009 - IEEE Fellow For contributions to data visualization and its applications

Overview

David S. Ebert is affiliated with the University of Oklahoma in the United States. Their research spans multiple domains, primarily focusing on data visualization and analytics, with particular applications in various interdisciplinary fields.

The main topics covered in their work include:

  • Data Visualization and Analytics
  • Data-Driven Disease Surveillance
  • Remote Sensing in Agriculture
  • Human Mobility and Location-Based Analysis
  • Anomaly Detection Techniques and Applications
  • Misinformation and Its Impacts
  • Hydrocarbon Exploration and Reservoir Analysis

The scientist's publications have appeared frequently in significant venues such as:

  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • Computing in Science & Engineering
  • IEEE Transactions on Computational Social Systems
  • IEEE Computer Graphics and Applications
  • arXiv (Cornell University)

Coauthorship has been an important part of their research output. Frequent collaborators include:

  • Riccardo Mariani
  • Jyotika Athavale
  • Hironori Washizaki
  • Grace A. Lewis
  • Forrest Shull

Among their recent papers are the following works:

  • "Integrating crop growth models with remote sensing for predicting biomass yield of sorghum," 2021, in silico Plants
  • "The Role of Interactive Visualization in Fostering Trust in AI," 2021, IEEE Computer Graphics and Applications
  • "A Visual Analytics Approach to Facilitate Crime Hotspot Analysis," 2020, Computer Graphics Forum
  • "Analyzing Worldwide Social Distancing through Large-Scale Computer Vision," 2020, arXiv (Cornell University)
  • "Visual Analytics for Decision-Making During Pandemics," 2020, Computing in Science & Engineering

Their research fields encompass multiple subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Epidemiology
  • Ecology
  • Sociology and Political Science

David S. Ebert has received recognition by professional organizations, including being awarded the ACM Senior Member status in 2009 and becoming an IEEE Fellow the same year for contributions related to data visualization and its applications.

Best Publications

  • Texturing and Modeling: A Procedural Approach

    David S. Ebert;F. Kenton Musgrave;Darwyn Peachey;Ken Perlin

  • Visualization and computer graphics

    David S. Ebert;Charles D. Hansen;Georges-Pierre Bonneau;L. A. B. Gravir

  • Volume illustration: nonphotorealistic rendering of volume models

    P. Rheingans;D. Ebert

  • Data, Information, and Knowledge in Visualization

    Min Chen;D. Ebert;H. Hagen;R.S. Laramee

  • The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation

    Fengqing Zhu;Marc Bosch;Insoo Woo;SungYe Kim

  • Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition

    Junghoon Chae;Dennis Thom;Harald Bosch;Yun Jang

  • Volume illustration: non-photorealistic rendering of volume models

    David Ebert;Penny Rheingans

  • Use of technology in children's dietary assessment.

    C. Boushey;Deborah Kerr;Janine Wright;K. Lutes

  • Rendering and animation of gaseous phenomena by combining fast volume and scanline A-buffer techniques

    D. S. Ebert;Richard E. Parent

  • Mass Media and the Contagion of Fear: The Case of Ebola in America.

    Sherry Towers;Shehzad Afzal;Gilbert Bernal;Nadya Bliss

  • Evidence-Based Development of a Mobile Telephone Food Record

    Bethany L. Six;TusaRebecca E. Schap;Fengqing M. Zhu;Anand Mariappan

  • Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

    Jiawei Zhang;Yang Wang;Piero Molino;Lezhi Li

  • Special Section on Visual Analytics: Public behavior response analysis in disaster events utilizing visual analytics of microblog data

    Junghoon Chae;Dennis Thom;Yun Jang;Sungye Kim

  • A Survey of Procedural Noise Functions

    Ares Lagae;Sylvain Lefebvre;Robert L. Cook;Tony DeRose

  • A Visual Analytics Approach to Understanding Spatiotemporal Hotspots

    R. Maciejewski;S. Rudolph;R. Hafen;A. Abusalah

  • Texturing and Modeling

    David S. Ebert;Steven Worley;F. Kenton Musgrave;Darwyn Peachey

  • Novel technologies for assessing dietary intake: evaluating the usability of a mobile telephone food record among adults and adolescents.

    Bethany L Daugherty;TusaRebecca E Schap;Reynolette Ettienne-Gittens;Fengqing M Zhu

  • Non-photorealistic volume rendering using stippling techniques

    Aidong Lu;Christopher J. Morris;David S. Ebert;Penny Rheingans

  • Interactive translucent volume rendering and procedural modeling

    Joe Kniss;Simon Premoze;Charles Hansen;David Ebert

  • Visual analytics law enforcement tools

    David S. Ebert;Timothy Collins;Ross Maciejewski;Abish Malik

Frequent Co-Authors

Ross Maciejewski
Ross Maciejewski Arizona State University
Edward J. Delp
Edward J. Delp Purdue University West Lafayette
Niklas Elmqvist
Niklas Elmqvist University of Maryland, College Park
William S. Cleveland
William S. Cleveland Purdue University West Lafayette
Charles Hansen
Charles Hansen University of Utah
Thomas Ertl
Thomas Ertl University of Stuttgart
Hans Hagen
Hans Hagen Technical University of Kaiserslautern
Gerhard Klimeck
Gerhard Klimeck Purdue University West Lafayette
Min Chen
Min Chen South China University of Technology
Yung-Hsiang Lu
Yung-Hsiang Lu Purdue University West Lafayette

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