World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
91
Citations
40804
World Ranking
574
National Ranking
35

Chemistry

D-Index
78
Citations
30236
World Ranking
3730
National Ranking
213

Peter Willett 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 Willett 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: 498 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Peter Willett 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 Willett 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: 91 D-Index — 96th percentile

96% 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

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2010 - Patterson-Crane Award, American Chemical Society (ACS)
  • 2003 - IEEE Fellow For contributions to detection, target tracking, and signal processing.
  • 1993 - Herman Skolnik Award, American Chemical Society (ACS)

Overview

Peter Willett is affiliated with the University of Sheffield in the United Kingdom. Their research contributions span multiple fields including Computational Theory and Mathematics, Physical and Theoretical Chemistry, Statistics, Probability and Uncertainty, Molecular Biology, and Information Systems and Management.

Their recent publication record includes works published between 2020 and 2022, covering a variety of topics relevant to chemoinformatics, bibliometrics, and molecular sciences. Notable recent papers include:

  • The Literature of Chemoinformatics: 1978-2018, 2020, International Journal of Molecular Sciences
  • The impact of the Cambridge Structural Database and the small molecule crystal structures it contains: a bibliographic and literature study, 2020, CrystEngComm
  • A bibliometric analysis of the Journal of Molecular Graphics and Modelling: An update, 2022, Journal of Molecular Graphics and Modelling
  • Library Review 1989-2017: publication and citation statistics, 2020, Global Knowledge Memory and Communication

The scientist frequently publishes in the following venues:

  • IEEE Transactions on Aerospace and Electronic Systems
  • International Journal of Molecular Sciences
  • Journal of Molecular Graphics and Modelling
  • Global Knowledge Memory and Communication
  • CrystEngComm

Frequent co-authors include Lance Kaplan, Michael Rice, Judy Scharmann, Lyudmila Mihaylova, and Gökhan İnalhan. Each of these collaborators has appeared alongside Peter Willett in multiple publications.

The main topics of research encompass:

  • Computational Drug Discovery Methods
  • History and advancements in chemistry
  • Scientometrics and bibliometrics research
  • Various chemistry research topics
  • Academic publishing and open access
  • Academic writing and publishing
  • Information retrieval and search behavior

Peter Willett received the IEEE Fellow award in 2003 for contributions to detection, target tracking, and signal processing.

Best Publications

  • Development and validation of a genetic algorithm for flexible docking.

    Gareth Jones;Peter Willett;Robert C Glen;Andrew R Leach

  • Chemical Similarity Searching

    Peter Willett;John M. Barnard and;Geoffrey M. Downs

  • Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation.

    Gareth Jones;Peter Willett;Robert C. Glen

  • Recent trends in hierarchic document clustering: a critical review

    Peter Willett

  • Readings in information retrieval

    Karen Sparck Jones;Peter Willett

  • Similarity-based virtual screening using 2D fingerprints

    Peter Willett

  • The Porter stemming algorithm: then and now

    Peter Willett

  • Key concepts

    Karen Sparck Jones;Peter Willett

  • Maximum common subgraph isomorphism algorithms for the matching of chemical structures.

    John W. Raymond;Peter Willett

  • A genetic algorithm for flexible molecular overlay and pharmacophore elucidation.

    Gareth Jones;Peter Willett;Robert C. Glen

  • The Limitations of Term Co-Occurrence Data for Query Expansion in Document Retrieval Systems.

    Helen J. Peat;Peter Willett

  • RASCAL: Calculation of Graph Similarity using Maximum Common Edge Subgraphs

    John W. Raymond;Eleanor J. Gardiner;Peter Willett

  • Comparison of fingerprint-based methods for virtual screening using multiple bioactive reference structures.

    Jérôme Hert;Peter Willett;David J. Wilton;Pierre Acklin

  • Identification of tertiary structure resemblance in proteins using a maximal common subgraph isomorphism algorithm.

    Helen M. Grindley;Peter J. Artymiuk;David W. Rice;Peter Willett

  • Comparison of topological descriptors for similarity-based virtual screening using multiple bioactive reference structures

    Jérôme Hert;Peter Willett;David J. Wilton;Pierre Acklin

  • A GRAPH-THEORETIC APPROACH TO THE IDENTIFICATION OF THREE-DIMENSIONAL PATTERNS OF AMINO ACID SIDE-CHAINS IN PROTEIN STRUCTURES

    Peter J. Artymiuk;Andrew R. Poirrette;Helen M. Grindley;David W. Rice

  • Use of techniques derived from graph theory to compare secondary structure motifs in proteins

    Eleanor M. Mitchell;Peter J. Artymiuk;David W. Rice;Peter Willett

  • Automatic spelling correction using a trigram similarity measure

    Richard C. Angell;George E. Freund;Peter Willett

  • The effectiveness of stemming for natural-language access to Slovene textual data

    Mirko Popovič;Peter Willett

  • A Comparison of Some Measures for the Determination of Inter‐Molecular Structural Similarity Measures of Inter‐Molecular Structural Similarity

    Peter Willett;Vivienne Winterman

  • New Methods for Ligand-Based Virtual Screening: Use of Data Fusion and Machine Learning to Enhance the Effectiveness of Similarity Searching

    Jérôme Hert;Peter Willett;David J Wilton;Pierre Acklin

Frequent Co-Authors

Valerie J. Gillet
Valerie J. Gillet University of Sheffield
Peter J. Artymiuk
Peter J. Artymiuk University of Sheffield
David W. Rice
David W. Rice University of Sheffield
Frank H. Allen
Frank H. Allen University of Cambridge
Naomie Salim
Naomie Salim University of Technology Malaysia
David Bawden
David Bawden City, University of London
Peter J. Fleming
Peter J. Fleming University of Sheffield
Christopher A. Hunter
Christopher A. Hunter University of Pennsylvania
Walter Thiel
Walter Thiel Max Planck Society
Wesley D. Allen
Wesley D. Allen University of Georgia

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