World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
18392
World Ranking
2575
National Ranking
147

David Parker 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 David Parker 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: 201 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

David Parker 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 David Parker 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

David Parker is affiliated with the University of Oxford in the United Kingdom. Their research spans the fields of Physics and Astronomy as well as Materials Science. Within these broad domains, their work particularly focuses on subfields such as Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics and Optics, Materials Chemistry, and Inorganic Chemistry.

The researcher is associated with several specialized topics including Advanced Condensed Matter Physics, Magnetic and Transport Properties of Perovskites and Related Materials, Physics of Superconductivity and Magnetism, Rare-earth and Actinide Compounds, Topological Materials and Phenomena, Iron-based Superconductors Research, and Magnetic Properties of Alloys.

David Parker has authored numerous papers, with a selection of recent publications showcasing the diversity of their research interests:

  • Manufacturing Processes for Permanent Magnets: Part I-Sintering and Casting, 2022, published in JOM
  • Proximate Spin Liquid and Fractionalization in the Triangular Antiferromagnet KYbSe2, 2023, published in Nature Physics
  • Van Hove Singularity in the Magnon Spectrum of the Antiferromagnetic Quantum Honeycomb Lattice, 2021, published in Nature Communications
  • Manufacturing Processes for Permanent Magnets: Part II-Bonding and Emerging Methods, 2022, published in JOM
  • Origin of Ultralow Phonon Transport and Strong Anharmonicity in Lead-Free Halide Perovskites, 2022, published in Materials Today Physics

Their work appears frequently in several publication venues, with the highest number of publications found in:

  • Physical Review B
  • arXiv (Cornell University)
  • Physical Review Materials
  • Journal of the American Chemical Society
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

David Parker collaborates often with a number of co-authors, including:

  • Athena S. Sefat
  • Lucas Lindsay
  • Michael A. McGuire
  • Andrew F. May
  • Raphaël P. Hermann

Best Publications

  • PRISM 4.0: verification of probabilistic real-time systems

    Marta Kwiatkowska;Gethin Norman;David Parker

  • PRISM : A tool for automatic verification of probabilistic systems

    Andrew Hinton;Marta Kwiatkowska;Gethin Norman;David Parker

  • PRISM: Probabilistic Symbolic Model Checker

    Marta Z. Kwiatkowska;Gethin Norman;David Parker

  • Stochastic model checking

    Marta Kwiatkowska;Gethin Norman;David Parker

  • Probabilistic Symbolic Model Checking with PRISM: A Hybrid Approach

    Marta Z. Kwiatkowska;Gethin Norman;David Parker

  • Automated Verification Techniques for Probabilistic Systems

    Vojtech Forejt;Marta Z. Kwiatkowska;Gethin Norman;David Parker

  • Automatic verification of competitive stochastic systems

    Taolue Chen;Vojtech Forejt;Marta Z. Kwiatkowska;David Parker

  • PRISM: probabilistic model checking for performance and reliability analysis

    Marta Kwiatkowska;Gethin Norman;David Parker

  • Performance analysis of probabilistic timed automata using digital clocks

    Marta Kwiatkowska;Gethin Norman;David Parker;Jeremy Sproston

  • Commonality, Difference and the Dynamics of Disclosure in In-Depth Interviewing

    Miri Song;David Parker

  • Numerical vs. statistical probabilistic model checking

    Håkan L. S. Younes;Marta Kwiatkowska;Gethin Norman;David Parker

  • Implementation of symbolic model checking for probabilistic systems

    David Anthony Parker

  • Mathematical Techniques for Analyzing Concurrent and Probabilistic Systems

    J. J. Rutten;Marta Kwiatkowska;Gethin Norman;David Parker

  • Probabilistic model checking of complex biological pathways

    John Heath;Marta Kwiatkowska;Gethin Norman;David Parker

  • Verification of Markov Decision Processes Using Learning Algorithms

    Tomáš Brázdil;Krishnendu Chatterjee;Martin Chmelík;Vojtěch Forejt

  • PRISM 2.0: a tool for probabilistic model checking

    M. Kwiatkowska;G. Norman;D. Parker

  • Symmetry reduction for probabilistic model checking

    Marta Kwiatkowska;Gethin Norman;David Parker

  • A formal analysis of bluetooth device discovery

    Marie Duflot;Marta Kwiatkowska;Gethin Norman;David Parker

  • Symbolic Model Checking of Probabilistic Processes Using MTBDDs and the Kronecker Representation

    Luca de Alfaro;Marta Z. Kwiatkowska;Gethin Norman;David Parker

  • PRISM-games: a model checker for stochastic multi-player games

    Taolue Chen;Vojtěch Forejt;Marta Kwiatkowska;David Parker

  • Assume-Guarantee verification for probabilistic systems

    Marta Kwiatkowska;Gethin Norman;David Parker;Hongyang Qu

Frequent Co-Authors

Marta Kwiatkowska
Marta Kwiatkowska University of Oxford
Gethin Norman
Gethin Norman University of Glasgow
Jonathan Seville
Jonathan Seville University of Birmingham
Yulong Ding
Yulong Ding University of Birmingham
Peter J. Fryer
Peter J. Fryer University of Birmingham
Ricky D. Wildman
Ricky D. Wildman University of Nottingham
Prakash Panangaden
Prakash Panangaden McGill University
Jonathan M. Huntley
Jonathan M. Huntley Loughborough University
David J. Singh
David J. Singh University of Missouri
NG Niels Deen
NG Niels Deen Eindhoven University of Technology

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