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Computer Science
UK
2026

D-Index & Metrics

Computer Science

D-Index
109
Citations
58389
World Ranking
236
National Ranking
9

John M. Carroll 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 John M. Carroll 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: 846 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

John M. Carroll 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 John M. Carroll 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: 109 D-Index — 98th percentile

98% 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

  • 2026 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2010 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2005 - IEEE Fellow For contributions to human-computer interaction methods and science.
  • 2003 - ACM Fellow For contributions to human-computer interaction.
  • 1951 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

John M. Carroll is affiliated with the University of Sussex in the United Kingdom. Their research spans the fields of Social Sciences and Computer Science, with a significant focus on Human-Computer Interaction, Sociology and Political Science, Artificial Intelligence, Communication, and Cognitive Neuroscience.

Their recent publications include work across various venues and disciplines. Notable papers are:

  • Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis (2023, arXiv (Cornell University))
  • Design and Evaluation Challenges of Conversational Agents in Health Care and Well-being: Selective Review Study (2022, Journal of Medical Internet Research)
  • Defect-Induced, Ferroelectric-Like Switching and Adjustable Dielectric Tunability in Antiferroelectrics (2023, Advanced Materials)
  • Hybrid Solid Oxide Fuel Cell/Gas Turbine Model Development for Electric Aviation (2022, Energies)
  • Experiencing the Transition to Remote Teaching and Learning during the COVID-19 Pandemic (2020, Interaction design & architecture(s)/ID&A Interaction design & architecture(s))

Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Human-Computer Interaction
  • Future Internet
  • Advanced Materials
  • Interaction design & architecture(s)/ID&A Interaction design & architecture(s)

The scientist collaborates often with several co-authors such as Chun-Hua Tsai, Jingyi Xie, Yao Lyu, Chuhao Wu, and Sooyeon Lee.

Their main topics of work cover:

  • Tactile and Sensory Interactions
  • Innovative Human-Technology Interaction
  • Methane Hydrates and Related Phenomena
  • Public Relations and Crisis Communication
  • Technology Use by Older Adults
  • Ferroelectric and Piezoelectric Materials
  • Ethics and Social Impacts of AI

John M. Carroll has contributed to academic literature with a book titled The Hong Kong-China Nexus published by Cambridge University Press in 2022.

The scientist has been recognized with several awards, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2010
  • IEEE Fellow, 2005, for contributions to human-computer interaction methods and science
  • ACM Fellow, 2003, for contributions to human-computer interaction
  • Fellow of the American Association for the Advancement of Science (AAAS), 1951

Best Publications

  • Usability Engineering

    Unknown

  • Usability Engineering: Scenario-Based Development of Human-Computer Interaction

    Mary Beth Rosson;John M. Carroll

  • Making Use: Scenario-Based Design of Human-Computer Interactions

    John M. Carroll

  • Weak Ties in Networked Communities

    Andrea L. Kavanaugh;Debbie Denise Reese;John M. Carroll;Mary Beth Rosson

  • Scenario-based design: envisioning work and technology in system development

    John M. Carroll

  • The Nurnberg funnel: designing minimalist instruction for practical computer skill

    John M. Carroll

  • Paradox of the active user

    John M. Carroll;Mary Beth Rosson

  • The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing

    Heng Xu;Xin (Robert) Luo;John M. Carroll;Mary Beth Rosson

  • Design rationale: concepts, techniques, and use

    Thomas P. Moran;John M. Carroll

  • Five reasons for scenario-based design

    John M. Carroll

  • Scenario-based design

    Mary Beth Rosson;John M. Carroll

  • Human-computer interaction: psychology as a science of design.

    John M. Carroll

  • HCI Models, Theories, and Frameworks: Toward a Multidisciplinary Science

    John M. Carroll

  • Getting around the task-artifact cycle: how to make claims and design by scenario

    John M. Carroll;Mary Beth Rosson

  • Designing Interaction: Psychology at the Human-Computer Interface

    John Millar Carroll

  • Notification and awareness: synchronizing task-oriented collaborative activity

    John M. Carroll;Dennis C. Neale;Philip L. Isenhour;Mary Beth Rosson

  • Metaphor and the Cognitive Representation of Computing Systems

    John M. Carroll;John C. Thomas

  • Interface metaphors and user interface design

    John M. Carroll;Robert L. Mack;Wendy A. Kellogg

  • Finding Predominant Word Senses in Untagged Text

    Diana McCarthy;Rob Koeling;Julie Weeds;John Carroll

  • Developing the Blacksburg electronic village

    John M. Carroll;Mary Beth Rosson

  • The task-artifact cycle

    John M. Carroll;Wendy A. Kellogg;Mary Beth Rosson

Frequent Co-Authors

Mary Beth Rosson
Mary Beth Rosson Pennsylvania State University
Ted Briscoe
Ted Briscoe Mohamed bin Zayed University of Artificial Intelligence
Heng Xu
Heng Xu University of Florida
Diana McCarthy
Diana McCarthy University of Cambridge
David J. Weir
David J. Weir Helsinki Institute of Physics
Haining Zhu
Haining Zhu University of Arizona
Stephan Oepen
Stephan Oepen University of Oslo
Victoria Bellotti
Victoria Bellotti Palo Alto Research Center
Ernesto Damiani
Ernesto Damiani Khalifa University
Miltiadis D. Lytras
Miltiadis D. Lytras American College of Greece

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