World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5449
World Ranking
11672
National Ranking
4785

Alex Endert 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 Alex Endert 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: 147 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Alex Endert 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 Alex Endert 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Alex Endert is a researcher affiliated with the Georgia Institute of Technology in the United States specializing in computer science, with a focus on human-centered approaches to artificial intelligence and data visualization. Their research contributions span multiple subfields, including artificial intelligence, computer vision and pattern recognition, safety research, sociology and political science, and information systems and management.

The primary areas of Endert's work include:

  • Data Visualization and Analytics
  • Explainable Artificial Intelligence (XAI)
  • Semantic Web and Ontologies
  • Ethics and Social Impacts of AI
  • Topic Modeling
  • Scientific Computing and Data Management
  • Machine Learning and Data Classification

Significant publication venues where Endert has frequently contributed consist of:

  • IEEE Transactions on Visualization and Computer Graphics
  • arXiv (Cornell University)
  • IEEE Computer Graphics and Applications
  • Computer Graphics Forum
  • Proceedings of the ACM on Human-Computer Interaction

Recent papers authored or coauthored by Endert include:

  • "A Survey of Human-Centered Evaluations in Human-Centered Machine Learning" (2021), Computer Graphics Forum
  • "The Role of Interactive Visualization in Fostering Trust in AI" (2021), IEEE Computer Graphics and Applications
  • "ArchiText: Interactive Hierarchical Topic Modeling" (2020), IEEE Transactions on Visualization and Computer Graphics
  • "CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs" (2020), IEEE Transactions on Visualization and Computer Graphics
  • "Ethical Tensions in Applications of AI for Addressing Human Trafficking: A Human Rights Perspective" (2022), Proceedings of the ACM on Human-Computer Interaction

Frequent collaborators in Endert's work include:

  • Arpit Narechania
  • Subhajit Das
  • Remco Chang
  • Grace Guo
  • Mennatallah El-Assady

Best Publications

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

    Christopher Andrews;Alex Endert;Chris North

  • Semantic interaction for visual text analytics

    Alex Endert;Patrick Fiaux;Chris North

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

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

  • Characterizing Provenance in Visualization and Data Analysis: An Organizational Framework of Provenance Types and Purposes

    Eric D. Ragan;Alex Endert;Jibonananda Sanyal;Jian Chen

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

    Christopher Andrews;Alex Endert;Beth Yost;Chris North

  • Augmenting Visualizations with Interactive Data Facts to Facilitate Interpretation and Communication

    Arjun Srinivasan;Steven M. Drucker;Alex Endert;John Stasko

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

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

  • Task-Based Effectiveness of Basic Visualizations

    Bahador Saket;Alex Endert;Cagatay Demiralp

  • 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

  • Finding Waldo: Learning about Users from their Interactions

    Eli T Brown;Alvitta Ottley;Helen Zhao;Quan Lin

  • Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics

    Emily Wall;Leslie M. Blaha;Lyndsey Franklin;Alex Endert

  • Beyond Usability and Performance: A Review of User Experience-focused Evaluations in Visualization

    Bahador Saket;Alex Endert;John Stasko

  • Analytic provenance: process+interaction+insight

    Chris North;Remco Chang;Alex Endert;Wenwen Dou

  • InterAxis: Steering Scatterplot Axes via Observation-Level Interaction

    Hannah Kim;Jaegul Choo;Haesun Park;Alex Endert

  • Visualizing cyber security: Usable workspaces

    Glenn A. Fink;Christopher L. North;Alex Endert;Stuart Rose

  • Visualization by Demonstration: An Interaction Paradigm for Visual Data Exploration

    Bahador Saket;Hannah Kim;Eli T. Brown;Alex Endert

  • Podium: Ranking Data Using Mixed-Initiative Visual Analytics

    Emily Wall;Subhajit Das;Ravish Chawla;Bharath Kalidindi

  • A Heuristic Approach to Value-Driven Evaluation of Visualizations

    Emily Wall;Meeshu Agnihotri;Laura Matzen;Kristin Divis

  • AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings

    Bum Chul Kwon;Hannah Kim;Emily Wall;Jaegul Choo

  • Visual to Parametric Interaction (V2PI)

    Scotland C. Leman;Leanna House;Dipayan Maiti;Alex Endert

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

    A. Endert;W. Ribarsky;C. Turkay;W Wong

Frequent Co-Authors

Chris North
Chris North Virginia Tech
Remco Chang
Remco Chang Tufts University
John Stasko
John Stasko Georgia Institute of Technology
Duen Horng Chau
Duen Horng Chau Georgia Institute of Technology
Michael Gleicher
Michael Gleicher University of Wisconsin–Madison
Haesun Park
Haesun Park Georgia Institute of Technology
Huamin Qu
Huamin Qu Hong Kong University of Science and Technology
Shamkant B. Navathe
Shamkant B. Navathe Georgia Institute of Technology
Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech
Jean-Daniel Fekete
Jean-Daniel Fekete French Institute for Research in Computer Science and Automation - INRIA

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re considering studying Computer Science in the USA, there are several related online degrees and alternative pathways that can broaden your skills and improve your job prospects. For those interested in analytics or big data, many universities now offer data science degrees online that are both flexible and affordable.

For students who prefer a hands-on approach to technology, an online bachelor’s in electrical engineering can open doors to exciting engineering fields, helping you develop both software and hardware expertise.

If you’re looking for quick ways to boost your credentials, consider earning easy certifications to get that may lead to high-paying roles without a lengthy commitment.

For those eager to advance quickly, explore the fastest online master's degree programs, which can help you earn a postgraduate qualification and increase your career opportunities in less time.

Best Scientists Citing Alex Endert

Trending Scientists