World's Best Scientists 2026 revealed!
Peter J. F. Lucas

Peter J. F. Lucas

D-Index & Metrics

Computer Science

D-Index
34
Citations
4903
World Ranking
12189
National Ranking
232

Peter J. F. Lucas 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 Peter J. F. Lucas 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: 220 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Peter J. F. Lucas 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 Peter J. F. Lucas 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Peter J. F. Lucas is affiliated with the University of Twente in the Netherlands. Their research spans the fields of Medicine and Computer Science, with a significant focus on subfields such as Artificial Intelligence, Statistics and Probability, Plant Science, Obstetrics and Gynecology, and Epidemiology.

Their main topics of study include:

  • Endometrial and Cervical Cancer Treatments
  • Bayesian Modeling and Causal Inference
  • Cervical Cancer and HPV Research
  • Estrogen and related hormone effects
  • Biological and pharmacological studies of plants
  • Advanced Causal Inference Techniques
  • COVID-19 Digital Contact Tracing

Recent notable papers authored or co-authored by Peter J. F. Lucas include:

  • Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study, 2020, published in PLoS Medicine
  • A privacy-preserving Bayesian network model for personalised COVID19 risk assessment and contact tracing, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Automated color detection in orchids using color labels and deep learning, 2021, PLoS ONE
  • Building integrated plant health surveillance: a proactive research agenda for anticipating and mitigating disease and pest emergence, 2024, CABI Agriculture and Bioscience
  • Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing?, 2020, arXiv (Cornell University)

Frequent co-authors collaborating with Lucas include:

  • Casper Reijnen
  • Johanna M.A. Pijnenborg
  • Marco Scutari
  • Alessio Zanga
  • Fabio Stella

Their work has been published in venues where they have multiple publications, such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Harvard Dataverse
  • CABI Agriculture and Bioscience
  • PLoS Medicine

Peter J. F. Lucas has also contributed to book publications, notably with the publisher Brepols. Titles include "Rome 1450. Capgrave's Jubilee Guide" (2021) and "Old English Poetry from Manuscript to Message" (2024).

Best Publications

  • Editorial: Bayesian networks in biomedicine and health-care

    Peter J. F. Lucas;Linda C. van der Gaag;Ameen Abu-Hanna

  • Principles of Expert Systems

    Peter Lucas;Linda van der Gaag

  • Bayesian analysis, pattern analysis, and data mining in health care.

    Peter Lucas

  • Improving medical protocols by formal methods

    Annette ten Teije;Mar Marcos;Michel Balser;Joyce van Croonenborg

  • Dynamic Bayesian networks as prognostic models for clinical patient management

    Marcel A. J. van Gerven;Babs G. Taal;Peter J. F. Lucas

  • A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU

    Peter J.F. Lucas;Nicolette C. de Bruijn;Karin Schurink;Andy Hoepelman

  • Prognostic Models in Medicine AI and Statistical Approaches

    A. Abu-Hanna;P. J. F. Lucas

  • Computer-based Medical Guidelines and Protocols: A Primer and Current Trends

    P. Lucas

  • Computer-assisted decision support for the diagnosis and treatment of infectious diseases in intensive care units.

    C.A.M. Schurink;P.J.F. Lucas;I.M. Hoepelman;M.J.M. Bonten

  • An autonomous mobile system for the management of COPD

    Maarten van der Heijden;Maarten van der Heijden;Peter J.F. Lucas;Bas Lijnse;Yvonne F. Heijdra

  • Prognostic methods in medicine

    Peter J.F. Lucas;Ameen Abu-Hanna

  • Computer-based decision support in the management of primary gastric non-Hodgkin lymphoma.

    P. J. F. Lucas;H. Boot;B. G. Taal

  • Bayesian network modelling through qualitative patterns

    Peter J. F. Lucas

  • A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients

    Theodore Charitos;Linda C. van der Gaag;Stefan Visscher;Karin A. M. Schurink

  • Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare

    Marina Velikova;Josien Terwisscha van Scheltinga;Peter J. F. Lucas;Marc Spaanderman

  • Quality checking of medical guidelines through logical abduction

    P. Lucas

  • Converting a rule-based expert system into a belief network.

    M. Korver;P. J. F. Lucas

  • Bayesian model-based diagnosis

    Peter J.F. Lucas

  • Exploiting Experts’ Knowledge for Structure Learning of Bayesian Networks

    Hossein Amirkhani;Mohammad Rahmati;Peter J. F. Lucas;Arjen Hommersom

  • Analysis of notions of diagnosis

    Peter J. F. Lucas

  • Certainty-factor-like structures in Bayesian belief networks

    P. J. F. Lucas

  • Improved mammographic CAD performance using multi-view information: a Bayesian network framework.

    Marina Velikova;Maurice Samulski;Peter J F Lucas;Nico Karssemeijer

Frequent Co-Authors

Marc J. M. Bonten
Marc J. M. Bonten Utrecht University
Nico Karssemeijer
Nico Karssemeijer Radboud University
Marcel A. J. van Gerven
Marcel A. J. van Gerven Radboud University
Tom Heskes
Tom Heskes Radboud University
Frank van Harmelen
Frank van Harmelen Vrije Universiteit Amsterdam
Concha Bielza
Concha Bielza Technical University of Madrid
Cliff B. Jones
Cliff B. Jones Newcastle University
Martin Neil
Martin Neil Queen Mary University of London

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