World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
82
Citations
24874
World Ranking
464
National Ranking
31

Peter V. Coveney publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Peter V. Coveney sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 522 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Peter V. Coveney D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Peter V. Coveney sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 82 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2019 - Member of Academia Europaea

Overview

Peter V. Coveney is affiliated with University College London in the United Kingdom. Their primary field of study is Computer Science, with a significant focus on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Materials Chemistry, and Computational Mechanics as key subfields.

The scientist's research covers a variety of main topics, including:

  • Computational Drug Discovery Methods
  • Protein Structure and Dynamics
  • Quantum Computing Algorithms and Architecture
  • Machine Learning in Materials Science
  • Lattice Boltzmann Simulation Studies
  • Quantum Information and Cryptography
  • Mass Spectrometry Techniques and Applications

They have contributed frequently to a range of publication venues, notable among which are:

  • arXiv (Cornell University)
  • Journal of Chemical Theory and Computation
  • Scientific Reports
  • Zenodo (CERN European Organization for Nuclear Research)
  • Interface Focus

Recent papers authored or co-authored by Peter V. Coveney include:

  • Hierarchically structured bioinspired nanocomposites, 2022, Nature Materials
  • Principles Governing Control of Aggregation and Dispersion of Graphene and Graphene Oxide in Polymer Melts, 2020, Advanced Materials
  • Rapid, accurate, precise and reproducible ligand-protein binding free energy prediction, 2020, Interface Focus
  • Uncertainty quantification in classical molecular dynamics, 2021, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • The impact of uncertainty on predictions of the CovidSim epidemiological code, 2021, Nature Computational Science

The scientist has collaborated frequently with several co-authors, among them:

  • Shunzhou Wan
  • Agastya P. Bhati
  • Roger Highfield
  • Alexis Ralli
  • J. W. S. McCullough

Peter V. Coveney has published books with Princeton University Press, including multiple editions of Virtual You in 2023.

Award recognition includes membership in Academia Europaea, achieved in 2019.

Best Publications

  • Scalable Quantum Simulation of Molecular Energies

    Peter O'Malley;Ryan Babbush;Ian Kivlichan;Jonathan Romero

  • Frontiers of Complexity: The Search for Order in a Chaotic World

    Peter Coveney;Roger Highfield;N. David Mermin

  • Clay swelling — A challenge in the oilfield

    R.L. Anderson;I. Ratcliffe;H.C. Greenwell;P.A. Williams

  • Monte Carlo Molecular Modeling Studies of Hydrated Li-, Na-, and K-Smectites: Understanding the Role of Potassium as a Clay Swelling Inhibitor

    E. S. Boek;P. V. Coveney;N. T. Skipper

  • Scalable Quantum Simulation of Molecular Energies

    P. J. J. O'Malley;R. Babbush;I. D. Kivlichan;J. Romero

  • Hierarchically structured bioinspired nanocomposites

    Unknown

  • A critical appraisal of polymer-clay nanocomposites.

    Biqiong Chen;Julian R. G. Evans;H. Christopher Greenwell;Pascal Boulet

  • Simulating the rheology of dense colloidal suspensions using dissipative particle dynamics

    E.S. Boek;P.V. Coveney;H.N.W. Lekkerkerker;P.P.A.M. van der Schoot

  • From Molecular Dynamics to Dissipative Particle Dynamics

    Eirik G. Flekkøy;Peter V. Coveney

  • Continuum-particle hybrid coupling for mass, momentum, and energy transfers in unsteady fluid flow

    R. Delgado-Buscalioni;P. V. Coveney

  • Molecular Modeling of Clay Hydration: A Study of Hysteresis Loops in the Swelling Curves of Sodium Montmorillonites

    E. S. Boek;P. V. Coveney;N. T. Skipper

  • Big data need big theory too

    Peter V. Coveney;Edward R. Dougherty;Roger R. Highfield

  • Foundations of dissipative particle dynamics

    Eirik G. Flekkøy;Peter V. Coveney;Gianni De Fabritiis

  • HemeLB: A high performance parallel lattice-Boltzmann code for large scale fluid flow in complex geometries

    Marco D. Mazzeo;Peter V. Coveney

  • Entropic lattice Boltzmann methods

    Bruce M. Boghosian;Jeffrey Yepez;Peter V. Coveney;Alexander Wagner

  • Large-scale molecular dynamics study of montmorillonite clay : Emergence of undulatory fluctuations and determination of material properties

    James L. Suter;Peter V. Coveney;H. Chris Greenwell;Mary-Ann Thyveetil

  • Rapid and accurate prediction of binding free energies for saquinavir-bound HIV-1 proteases

    Ileana Stoica;S Kashif Sadiq;Peter V Coveney

  • Large scale molecular dynamics simulation of self-assembly processes in short and long chain cationic surfactants

    J.-B. Maillet;V. Lachet;Peter V. Coveney

  • A vision and strategy for the virtual physiological human in 2010 and beyond.

    Peter Hunter;Peter Hunter;Peter V. Coveney;Bernard de Bono;Vanessa Diaz

  • Graphene-Graphene Interactions: Friction, Superlubricity and Exfoliation

    Robert C. Sinclair;James L. Suter;Peter V. Coveney

  • Computer simulations of domain growth and phase separation in two-dimensional binary immiscible fluids using dissipative particle dynamics.

    Peter V. Coveney;Keir E. Novik

  • Large-scale molecular dynamics simulation of DNA: implementation and validation of the AMBER98 force field in LAMMPS.

    Christina Grindon;Sarah Harris;T. O. M. Evans;Keir Novik

Frequent Co-Authors

Shantenu Jha
Shantenu Jha Rutgers, The State University of New Jersey
Andrew Whiting
Andrew Whiting Durham University
Edo S. Boek
Edo S. Boek Queen Mary University of London
Marco Viceconti
Marco Viceconti University of Bologna
Biqiong Chen
Biqiong Chen Queen's University Belfast
Sauro Succi
Sauro Succi Italian Institute of Technology
Jrg Evans
Jrg Evans University College London
Peter Hunter
Peter Hunter University of Auckland
Holger Gerhardt
Holger Gerhardt Max Delbrück Center for Molecular Medicine
Norbert Graf
Norbert Graf Saarland University

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:

Best Scientists Citing Peter V. Coveney

Trending Scientists

Recently Published Articles