World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9625
World Ranking
6165
National Ranking
2767

William Ribarsky 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 William Ribarsky 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

William Ribarsky 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 William Ribarsky 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

William Ribarsky was affiliated with the University of North Carolina at Charlotte in the United States. Their research focused primarily on Environmental Science, with a notable emphasis on subfields such as Environmental Chemistry, Ecology, Transportation, Health, Toxicology and Mutagenesis, and Water Science and Technology.

The main topics covered in their work included Turfgrass Adaptation and Management, Rangeland and Wildlife Management, Urban Transport and Accessibility, Water Quality and Resources Studies, Environmental Justice and Health Disparities, Air Quality and Health Impacts, and Economic and Environmental Valuation.

They published research in several academic venues including the International Turfgrass Society Research Journal, Journal of Industrial Ecology, Disaster Medicine and Public Health Preparedness, Preventive Medicine Reports, and Frontiers in Plant Science. Among their recent papers were:

  • A data framework for assessing social inequality and equity in multi-sector social, ecological, infrastructural urban systems: Focus on fine-spatial scales, 2022, Journal of Industrial Ecology
  • ArcGIS Online, 2022, Geographic Information Science & Technology Body of Knowledge
  • NTEP-DB 1.0: A relational database for the national turfgrass evaluation program, 2021, International Turfgrass Society research journal
  • Simulation as a Teaching Method: Evaluation of the University of Minnesota Humanitarian Crisis Simulation, 2022, Disaster Medicine and Public Health Preparedness
  • A novel method to map community- and neighborhood-level access to rural physical activity built environments in the United States, 2022, Preventive Medicine Reports

Frequent co-authors in their work included Yuanshuo Qu, Kevin N. Morris, Peter Wiringa, Yiqun Xie, and Eric Watkins. These collaborations contributed to multiple publications and reflected a multidisciplinary approach across environmental and social science research.

Best Publications

  • Real-time, continuous level of detail rendering of height fields

    Peter Lindstrom;David Koller;William Ribarsky;Larry F. Hodges

  • Instant architecture

    Peter Wonka;Michael Wimmer;François Sillion;William Ribarsky

  • Data, Information, and Knowledge in Visualization

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

  • Virtual GIS: a real-time 3D geographic information system

    David Koller;Peter Lindstrom;William Ribarsky;Larry F. Hodges

  • iPCA: an interactive system for PCA-based visual analytics

    Dong Hyun Jeong;Caroline Ziemkiewicz;Brian Fisher;William Ribarsky

  • The State of the Art in Integrating Machine Learning into Visual Analytics

    A. Endert;W. Ribarsky;C. Turkay;B.L. William Wong

  • Defining Insight for Visual Analytics

    R. Chang;C. Ziemkiewicz;T.M. Green;W. Ribarsky

  • HierarchicalTopics: Visually Exploring Large Text Collections Using Topic Hierarchies

    Wenwen Dou;Li Yu;Xiaoyu Wang;Zhiqiang Ma

  • Glyphmaker: creating customized visualizations of complex data

    W. Ribarsky;E. Ayers;J. Eble;S. Mukherjea

  • WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions

    R. Chang;M. Ghoniem;R. Kosara;W. Ribarsky

  • Recovering Reasoning Processes from User Interactions

    Wenwen Dou;Dong Hyun Jeong;F. Stukes;W. Ribarsky

  • EventRiver: Visually Exploring Text Collections with Temporal References

    Dongning Luo;Jing Yang;M. Krstajic;W. Ribarsky

  • ParallelTopics: A probabilistic approach to exploring document collections

    Wenwen Dou;Xiaoyu Wang;Remco Chang;William Ribarsky

  • Building and applying a human cognition model for visual analytics

    Tera Marie Green;William Ribarsky;Brian Fisher

  • The Perceptive Workbench: toward spontaneous and natural interaction in semi-immersive virtual environments

    B. Leibe;T. Starner;W. Ribarsky;Z. Wartell

  • Visual analytics for complex concepts using a human cognition model

    T.M. Green;W. Ribarsky;B. Fisher

  • An Integrated Global GIS and Visual Simulation System

    Peter Lindstrom;David Koller;William Ribarsky;Larry F. Hodges

  • Effects of variation in system responsiveness on user performance in virtual environments.

    Benjamin A. Watson;Neff Walker;Neff Walker;Neff Walker;William Ribarsky;William Ribarsky;Victoria Spaulding;Victoria Spaulding

  • Next-Generation Data Visualization Tools

    William Ribarsky;James D. Foley

  • Simulator sickness and presence in a high FOV virtual environment

    A.F. Seay;D.M. Krum;L. Hodges;W. Ribarsky

  • Semantic Image Browser: Bridging Information Visualization with Automated Intelligent Image Analysis

    Jing Yang;Jianping Fan;D. Hubball;Yuli Gao

Frequent Co-Authors

Remco Chang
Remco Chang Tufts University
Larry F. Hodges
Larry F. Hodges Clemson University
Frits H. Post
Frits H. Post Delft University of Technology
Thad Starner
Thad Starner Georgia Institute of Technology
Jianping Fan
Jianping Fan University of North Carolina at Charlotte
Shin'ichi Satoh
Shin'ichi Satoh National Institute of Informatics
Peter Lindstrom
Peter Lindstrom Lawrence Livermore National Laboratory
David S. Ebert
David S. Ebert University of Oklahoma
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Douglas D. Davis
Douglas D. Davis Georgia Institute of Technology

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