World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
15147
World Ranking
3790
National Ranking
227

Jeremy C Wyatt 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 Jeremy C Wyatt 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: 221 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Jeremy C Wyatt 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 Jeremy C Wyatt 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Jeremy C Wyatt is affiliated with the University of Southampton in the United Kingdom. Their research spans several main fields, including Health Professions and Medicine, with notable contributions across subfields such as General Health Professions, Health Information Management, Public Health, Environmental and Occupational Health, Health Informatics, and Molecular Biology.

Their work primarily addresses topics including Electronic Health Records Systems, Mobile Health and mHealth Applications, Artificial Intelligence in Healthcare and Education, Biomedical Text Mining and Ontologies, Information Systems Theories and Implementation, Big Data and Business Intelligence, and Clinical Reasoning and Diagnostic Skills.

Jeremy C Wyatt has published papers in several respected venues, with frequent publications appearing in Learning Health Systems, Trials, Journal of Medical Internet Research, BMJ Health & Care Informatics, and GigaScience.

Recent papers authored or coauthored by Jeremy C Wyatt include:

  • "Digital tools for the recruitment and retention of participants in randomised controlled trials: a systematic map" (2020, Trials)
  • "Online Guide for Electronic Health Evaluation Approaches: Systematic Scoping Review and Concept Mapping Study" (2020, Journal of Medical Internet Research)
  • "Objectively Measured Physical Activity in Patients with COPD: Recommendations from an International Task Force on Physical Activity" (2021, Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation)
  • "Artificial intelligence and clinical decision support: clinicians' perspectives on trust, trustworthiness, and liability" (2023, Medical Law Review)
  • "Using digital tools in the recruitment and retention in randomised controlled trials: survey of UK Clinical Trial Units and a qualitative study" (2020, Trials)

In addition to journal articles, Jeremy C Wyatt has contributed to book publications in the field of Health Informatics. One notable title is "Evaluation Methods in Biomedical and Health Informatics" published in 2022.

Their collaborative work includes repeated partnerships with several co-authors, including Charles P. Friedman, Joan S. Ash, Tobias Bonten, Anneloek Rauwerdink, and Marise J. Kasteleyn.

Best Publications

  • Using the Internet for Surveys and Health Research

    Gunther Eysenbach;Jeremy L. Wyatt

  • Evaluating Digital Health Interventions: Key Questions and Approaches.

    Elizabeth Murray;Eric B. Hekler;Gerhard Andersson;Linda M. Collins

  • Automation bias: a systematic review of frequency, effect mediators, and mitigators.

    Kate Goddard;Abdul V. Roudsari;Abdul V. Roudsari;Jeremy C. Wyatt

  • Evaluation Methods in Biomedical Informatics (Health Informatics)

    Charles P. Friedman;Jeremy C. Wyatt

  • Evaluating computerised health information systems: hard lessons still to be learnt

    Peter Littlejohns;Jeremy C Wyatt;Linda Garvican

  • Evaluation Methods in Medical Informatics

    Charles P. Friedman;Jeremy C. Wyatt

  • Commentary: Prognostic models: clinically useful or quickly forgotten?

    Jeremy C Wyatt;Douglas G Altman

  • Commentary: measuring quality and impact of the World Wide Web.

    Jeremy C Wyatt

  • When to Use Web-based Surveys

    Jeremy C. Wyatt

  • mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use

    Thomas Lorchan Lewis;Jeremy C Wyatt

  • Field trials of medical decision-aids: potential problems and solutions.

    J Wyatt;D Spiegelhalter

  • The origin, content, and workload of e-mail consultations.

    Stephen M. Borowitz;Jeremy C. Wyatt

  • Survey of Doctors' Experience of Patients Using the Internet

    Henry W. W Potts;Jeremy C Wyatt

  • Use and sources of medical knowledge.

    J. Wyatt

  • Evaluating medical expert systems: what to test and how?

    Jeremy Wyatt;David Spiegelhalter

  • Management of explicit and tacit knowledge.

    Jeremy C Wyatt

  • Philosophies for the design and development of clinical decision-support systems.

    H. A. Heathfield;J. Wyatt

  • Computerised decision support systems in order communication for diagnostic, screening or monitoring test ordering: systematic reviews of the effects and cost-effectiveness of systems.

    C. Main;T. Moxham;Jeremy C. Wyatt;J. Kay

  • Opportunities for and challenges of computerisation

    Seth M Powsner;Jeremy C Wyatt;Patricia Wright

  • Users' Guides to the Medical Literature: XVIII. How to use an article evaluating the clinical impact of a computer-based clinical decision support system.

    Adrienne G. Randolph;R. Brian Haynes;Jeremy C. Wyatt;Deborah J. Cook

  • Evaluating black-boxes as medical decision aids: issues arising from a study of neural networks.

    Anna Hart;Jeremy Wyatt

Frequent Co-Authors

Charles P. Friedman
Charles P. Friedman University of Michigan–Ann Arbor
Douglas G. Altman
Douglas G. Altman University of Oxford
Aziz Sheikh
Aziz Sheikh University of Oxford
Sanjay Modgil
Sanjay Modgil King's College London
Henry W. W. Potts
Henry W. W. Potts University College London
Azeem Majeed
Azeem Majeed Imperial College London
Rafael Perera
Rafael Perera University of Oxford
Marie Johnston
Marie Johnston University of Aberdeen
David Spiegelhalter
David Spiegelhalter UK Statistics Authority
Susan Michie
Susan Michie University College London

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