World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4630
World Ranking
12218
National Ranking
4959

David Gotz 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 Gotz 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: 105 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

David Gotz 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 Gotz 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: 34 D-Index — 16th percentile

16% 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

  • 2020 - ACM Senior Member

Overview

David Gotz is a researcher affiliated with the University of North Carolina at Chapel Hill in the United States. Their work primarily focuses on computer science, with specific emphasis on computer vision and pattern recognition as well as artificial intelligence. The research portfolio also includes contributions to general health professions, economics and econometrics, and public health, environmental and occupational health.

The main themes in David Gotz's research involve data visualization and analytics, data analysis with R, image retrieval and classification techniques, health systems including economic evaluations and quality of life, advanced text analysis techniques, video analysis, and summarization, as well as topics related to mental health research.

The scientist has published multiple papers spanning several years, notable recent publications include:

  • "Survey on Visual Analysis of Event Sequence Data" (2021), published in IEEE Transactions on Visualization and Computer Graphics
  • "AutoClips: An Automatic Approach to Video Generation from Data Facts" (2021), published in Computer Graphics Forum
  • "Visual Causality Analysis of Event Sequence Data" (2020), published in IEEE Transactions on Visualization and Computer Graphics
  • "Selection-Bias-Corrected Visualization via Dynamic Reweighting" (2020), published in IEEE Transactions on Visualization and Computer Graphics
  • "A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic" (2020), published in Journal of the American Medical Informatics Association

David Gotz has collaborated frequently with several coauthors, including David Borland, Allison M. Deal, Antonia V. Bennett, Arran Zeyu Wang, and Ethan Basch. These collaborations have contributed to the development and dissemination of research in their fields of study.

The scientist's work has appeared repeatedly in certain academic venues, with the most frequent publication outlets including:

  • IEEE Transactions on Visualization and Computer Graphics
  • arXiv (Cornell University)
  • The Journal of Urology
  • UNC Libraries
  • Computer Graphics Forum

David Gotz was awarded the ACM Senior Member distinction in 2020, a recognition associated with the computing and information technology community.

Best Publications

  • Characterizing users' visual analytic activity for insight provenance

    David Gotz;Michelle X. Zhou

  • Behavior-driven visualization recommendation

    David Gotz;Zhen Wen

  • PixelFlex: a reconfigurable multi-projector display system

    Ruigang Yang;David Gotz;Justin Hensley;Herman Towles

  • Exploring Flow, Factors, and Outcomes of Temporal Event Sequences with the Outflow Visualization

    K. Wongsuphasawat;D. Gotz

  • Iterative Refinement of Cohorts Using Visual Exploration and Data Analytics

    David Gotz;Adam Perer;Zhiyuan Zhang

  • Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics

    Charles D. Stolper;Adam Perer;David Gotz

  • DecisionFlow: Visual Analytics for High-Dimensional Temporal Event Sequence Data

    David Gotz;Harry Stavropoulos

  • FacetAtlas: Multifaceted Visualization for Rich Text Corpora

    Nan Cao;Jimeng Sun;Yu-Ru Lin;D Gotz

  • Visual analytics in healthcare – opportunities and research challenges

    Jesus J. Caban;David H Gotz

  • DICON: Interactive Visual Analysis of Multidimensional Clusters

    Nan Cao;D. Gotz;J. Sun;Huamin Qu

  • A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data

    David Gotz;Fei Wang;Adam Perer

  • A Survey on Visual Analytics of Social Media Data

    Yingcai Wu;Nan Cao;David Gotz;Yap-Peng Tan

  • Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization

    David Gotz;David Borland

  • A Survey on Visual Analysis of Event Sequence Data

    Yi Guo;Shunan Guo;Zhuochen Jin;Smiti Kaul

  • EventThread: Visual Summarization and Stage Analysis of Event Sequence Data

    Shunan Guo;Ke Xu;Rongwen Zhao;David Gotz

  • Predicting Patient's Trajectory of Physiological Data using Temporal Trends in Similar Patients: A System for Near-Term Prognostics.

    Shahram Ebadollahi;Jimeng Sun;David Gotz;Jianying Hu

  • Interactive Visual Synthesis of Analytic Knowledge

    D. Gotz;M.X. Zhou;V. Aggarwal

  • Characterizing users’ visual analytic activity for insight provenance

    D. Gotz;M.X. Zhou

  • Iterative cohort analysis and exploration

    Zhiyuan Zhang;David Gotz;Adam Perer

  • Methods for organizing information accessed through a web browser

    David Gotz

  • Adaptive Contextualization: Combating Bias During High-Dimensional Visualization and Data Selection

    David Gotz;Shun Sun;Nan Cao

  • Visual Progression Analysis of Event Sequence Data

    Shunan Guo;Zhuochen Jin;David Gotz;Fan Du

  • Health and Fitness Apps for Hands-Free Voice-Activated Assistants: Content Analysis.

    Arlene E Chung;Ashley C. Griffin;Dasha Selezneva;David H Gotz

  • Survey on Visual Analysis of Event Sequence Data

    Yi Guo;Shunan Guo;Zhuochen Jin;Smiti Kaul

Frequent Co-Authors

Nan Cao
Nan Cao Tongji University
Jimeng Sun
Jimeng Sun University of Illinois at Urbana-Champaign
Adam Perer
Adam Perer Carnegie Mellon University
Michelle X. Zhou
Michelle X. Zhou IBM (United States)
Yu-Ru Lin
Yu-Ru Lin University of Pittsburgh
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Huamin Qu
Huamin Qu Hong Kong University of Science and Technology
Baoxin Li
Baoxin Li Shaanxi Normal University
Yingcai Wu
Yingcai Wu Zhejiang University
Fatih Porikli
Fatih Porikli Australian National University

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