World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
26172
World Ranking
2996
National Ranking
179

Norman Fenton 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 Norman Fenton 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: 260 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Norman Fenton 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 Norman Fenton 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: 61 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Norman Fenton is affiliated with Queen Mary University of London in the United Kingdom. Their research spans multiple areas within computer science and medicine, focusing especially on artificial intelligence and health information management. The scientist has contributed extensively to the understanding and application of Bayesian modeling and causal inference in healthcare contexts.

The main fields of study for Norman Fenton include:

  • Computer Science
  • Medicine

Their work covers several subfields, notably:

  • Artificial Intelligence
  • Health Information Management
  • Modeling and Simulation
  • Management Science and Operations Research
  • Information Systems

Regarding research topics, Norman Fenton has focused on:

  • Bayesian Modeling and Causal Inference
  • Machine Learning in Healthcare
  • Electronic Health Records Systems
  • COVID-19 Epidemiological Studies
  • Decision-Making and Behavioral Economics
  • Artificial Intelligence in Healthcare
  • Risk and Safety Analysis

Selected recent papers authored or co-authored by Norman Fenton include:

  • COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing, 2020, Journal of Risk Research
  • Learning from Behavioural Changes That Fail, 2020, Trends in Cognitive Sciences
  • Bayesian networks in healthcare: What is preventing their adoption?, 2021, Artificial Intelligence in Medicine
  • Medical idioms for clinical Bayesian network development, 2020, Journal of Biomedical Informatics
  • mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review, 2021, Diabetic Medicine

Frequent co-authors collaborating with Norman Fenton include:

  • Martin Neil
  • Scott McLachlan
  • Evangelia Kyrimi
  • Kudakwashe Dube
  • Magda Osman

Norman Fenton has published in various venues, with multiple contributions to:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Artificial Intelligence in Medicine
  • Lara D. Veeken
  • Journal of Risk Research

In addition to journal publications, Norman Fenton has authored a book titled Shaken Baby Syndrome, published by Cambridge University Press in 2023.

Best Publications

  • Software Metrics: A Rigorous and Practical Approach

    Norman E. Fenton;Shari Lawrence Pfleeger

  • A critique of software defect prediction models

    N.E. Fenton;M. Neil

  • Software Metrics: A Rigorous Approach

    Norman E. Fenton

  • Software metrics (2nd ed.): a rigorous and practical approach

    Norman Fenton;Shari Lawrence Pfleeger

  • Risk Assessment and Decision Analysis with Bayesian Networks

    Norman Fenton;Martin Neil

  • Quantitative analysis of faults and failures in a complex software system

    N.E. Fenton;N. Ohlsson

  • Software measurement: a necessary scientific basis

    N. Fenton

  • Towards a framework for software measurement validation

    B. Kitchenham;S.L. Pfleeger;N. Fenton

  • Software metrics: roadmap

    Norman E. Fenton;Martin Neil

  • Science and substance: a challenge to software engineers

    N. Fenton;S.L. Pfleeger;R.L. Glass

  • Building large-scale Bayesian networks

    Martin Neil;Norman Fenton;Lars Nielson

  • Software metrics: success, failures and new directions

    Norman E. Fenton;Martin Neil

  • Towards Operational Measures of Computer Security

    Bev Littlewood;Sarah Brocklehurst;Norman Fenton;Peter Mellor

  • Software Metrics: A Rigorous and Practical Approach, Third Edition

    Norman Fenton;James Bieman

  • Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

    Norman E. Fenton;Martin Neil;Jose Galan Caballero

  • Predicting software defects in varying development lifecycles using Bayesian nets

    Norman Fenton;Martin Neil;William Marsh;Peter Hearty

  • Software measurement: uncertainty and causal modeling

    N. Fenton;P. Krause;M. Neil

  • A General Structure for Legal Arguments about Evidence Using Bayesian Networks.

    Norman E. Fenton;Martin Neil;David A. Lagnado

  • Using Bayesian networks to model expected and unexpected operational losses.

    Martin Neil;Norman Fenton;Manesh Tailor

  • Software Metrics

    N.E. Fenton

Frequent Co-Authors

Martin Neil
Martin Neil Queen Mary University of London
David A. Lagnado
David A. Lagnado University College London
Paul McCrone
Paul McCrone King's College London
Paul Bebbington
Paul Bebbington University College London
Min Yang
Min Yang Fudan University
Graham A. Hitman
Graham A. Hitman Queen Mary University of London
Bev Littlewood
Bev Littlewood City, University of London
James M. Bieman
James M. Bieman Colorado State University
Shari Lawrence Pfleeger
Shari Lawrence Pfleeger Dartmouth College
Keith D. Shepherd
Keith D. Shepherd World Agroforestry Centre

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