World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 61 2996 2908 179 177 260 26172

Norman Fenton publications per year

The chart shows the history of publications by Norman Fenton between 1983 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Norman Fenton published across 43 years, from 1983 to 2025, averaging 7.3 papers a year. Output peaked at 32 publications in 2016. 11 of the 314 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1983 to 2025. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2016. 1983: 1 publication 1984: 3 publications 1985: 2 publications 1986: 1 publication 1987: 1 publication 1988: 1 publication 1989: 1 publication 1990: 4 publications 1991: 8 publications 1992: 7 publications 1993: 3 publications 1994: 8 publications 1995: 3 publications 1996: 7 publications 1997: 7 publications 1998: 2 publications 1999: 4 publications 2000: 5 publications 2001: 5 publications 2002: 4 publications 2003: 2 publications 2004: 2 publications 2005: 2 publications 2006: 5 publications 2007: 7 publications 2008: 4 publications 2009: 2 publications 2010: 4 publications 2011: 5 publications 2012: 6 publications 2013: 10 publications 2014: 21 publications 2015: 7 publications 2016: 32 publications 2017: 7 publications 2018: 27 publications 2019: 13 publications 2020: 31 publications 2021: 20 publications 2022: 9 publications 2023: 10 publications 2024: 8 publications 2025: 3 publications
1983 2025

314 publications in total across all disciplines

View publications per year as a table
Norman Fenton: publications per year, 1983 to 2025
Year Publications
1983 1
1984 3
1985 2
1986 1
1987 1
1988 1
1989 1
1990 4
1991 8
1992 7
1993 3
1994 8
1995 3
1996 7
1997 7
1998 2
1999 4
2000 5
2001 5
2002 4
2003 2
2004 2
2005 2
2006 5
2007 7
2008 4
2009 2
2010 4
2011 5
2012 6
2013 10
2014 21
2015 7
2016 32
2017 7
2018 27
2019 13
2020 31
2021 20
2022 9
2023 10
2024 8
2025 3
Total 314
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 252–261 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377 260
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 60–61 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337 61
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

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

Exploring computer science in the USA opens doors to a variety of online degree and career options. Many students look for affordable paths, and the cheapest online bachelor's degree programs can help make a CS education accessible without heavy debt.

For those interested in technical roles, numerous engineering online programs offer flexible learning in fields like software engineering or information technology. These programs are ideal for working adults or those requiring a non-traditional schedule.

Advancing your career is possible through specialized programs like an online emba. This pathway is particularly popular among computer science professionals interested in leadership or management positions within tech-focused organizations.

Additionally, those interested in tech roles supporting information access and management may consider an mlis online degree. This degree combines technology and information science, leading to careers in libraries, archives, and digital information management.

Best Scientists Citing Norman Fenton

Trending Scientists

Recently Published Articles