World's Best Scientists 2026 revealed!

D-Index & Metrics

Materials Science

D-Index
70
Citations
15508
World Ranking
4489
National Ranking
180

Chemistry

D-Index
70
Citations
15562
World Ranking
5939
National Ranking
341

Graeme M. Day publication distribution in Materials Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where Graeme M. Day sits on this spectrum.

50–69 publications: 28 scientists 70–89 publications: 152 scientists 90–109 publications: 356 scientists 110–129 publications: 487 scientists 130–149 publications: 723 scientists 150–169 publications: 835 scientists 170–189 publications: 850 scientists 190–209 publications: 891 scientists 210–229 publications: 862 scientists 230–249 publications: 766 scientists 250–269 publications: 726 scientists 270–289 publications: 665 scientists 290–309 publications: 593 scientists 310–329 publications: 537 scientists 330–349 publications: 477 scientists 350–369 publications: 440 scientists 370–389 publications: 356 scientists 390–409 publications: 321 scientists 410–429 publications: 256 scientists 430–449 publications: 246 scientists 450–469 publications: 216 scientists 470–489 publications: 212 scientists 490–509 publications: 174 scientists 510–529 publications: 194 scientists 530–549 publications: 162 scientists 550–569 publications: 131 scientists 570–589 publications: 111 scientists 590–609 publications: 103 scientists 610–629 publications: 99 scientists 630–649 publications: 77 scientists 650–669 publications: 92 scientists 670–689 publications: 56 scientists 690–709 publications: 53 scientists 710–729 publications: 53 scientists 730–749 publications: 38 scientists 750–769 publications: 52 scientists 770–789 publications: 43 scientists 790–809 publications: 38 scientists 810–829 publications: 34 scientists 830–849 publications: 25 scientists 850–869 publications: 18 scientists 870–889 publications: 20 scientists 890–909 publications: 24 scientists 910–929 publications: 27 scientists 930–949 publications: 20 scientists 950–969 publications: 17 scientists 970–989 publications: 10 scientists 990–1,009 publications: 16 scientists 1,010–1,029 publications: 13 scientists 1,030–1,049 publications: 12 scientists 1,050–1,069 publications: 9 scientists 1,070–1,089 publications: 8 scientists 1,090–1,109 publications: 7 scientists 1,110–1,129 publications: 9 scientists 1,130–1,149 publications: 2 scientists 1,150–1,162 publications: 5 scientists 1,163+ publications: 100 scientists
50 publications 1,163+

This scientist: 200 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,163 publications or more.

Graeme M. Day D-index placement in Materials Science in 2026

The chart shows the D-index (discipline H-index) distribution of Materials Science scientists ranked by Research.com in 2026. The highlighted bar marks where Graeme M. Day sits on this spectrum.

40–41 D-Index: 211 scientists 42–43 D-Index: 450 scientists 44–45 D-Index: 612 scientists 46–47 D-Index: 612 scientists 48–49 D-Index: 598 scientists 50–51 D-Index: 657 scientists 52–53 D-Index: 667 scientists 54–55 D-Index: 621 scientists 56–57 D-Index: 597 scientists 58–59 D-Index: 610 scientists 60–61 D-Index: 587 scientists 62–63 D-Index: 606 scientists 64–65 D-Index: 533 scientists 66–67 D-Index: 490 scientists 68–69 D-Index: 469 scientists 70–71 D-Index: 378 scientists 72–73 D-Index: 421 scientists 74–75 D-Index: 359 scientists 76–77 D-Index: 323 scientists 78–79 D-Index: 299 scientists 80–81 D-Index: 230 scientists 82–83 D-Index: 210 scientists 84–85 D-Index: 195 scientists 86–87 D-Index: 203 scientists 88–89 D-Index: 175 scientists 90–91 D-Index: 175 scientists 92–93 D-Index: 142 scientists 94–95 D-Index: 121 scientists 96–97 D-Index: 117 scientists 98–99 D-Index: 107 scientists 100–101 D-Index: 88 scientists 102–103 D-Index: 85 scientists 104–105 D-Index: 68 scientists 106–107 D-Index: 62 scientists 108–109 D-Index: 57 scientists 110–111 D-Index: 45 scientists 112–113 D-Index: 49 scientists 114–115 D-Index: 50 scientists 116–117 D-Index: 34 scientists 118–119 D-Index: 38 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 28 scientists 126–127 D-Index: 24 scientists 128–129 D-Index: 33 scientists 130–131 D-Index: 28 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 20 scientists 136–137 D-Index: 23 scientists 138–139 D-Index: 17 scientists 140–141 D-Index: 12 scientists 142–143 D-Index: 17 scientists 144–145 D-Index: 21 scientists 146–147 D-Index: 13 scientists 148–149 D-Index: 11 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 13 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 4 scientists 162–163 D-Index: 4 scientists 164 D-Index: 3 scientists 165+ D-Index: 98 scientists
40 D-Index 165+

This scientist: 70 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 165 D-Index or more.

Overview

Graeme M. Day is affiliated with the University of Southampton in the United Kingdom. Their research primarily focuses on Materials Science, with a specialization in Materials Chemistry, Physical and Theoretical Chemistry, Inorganic Chemistry, Computational Theory and Mathematics, and Spectroscopy.

The scientist's work covers a range of topics including:

  • X-ray Diffraction in Crystallography
  • Crystallization and Solubility Studies
  • Crystallography and Molecular Interactions
  • Machine Learning in Materials Science
  • Metal-Organic Frameworks: Synthesis and Applications
  • Covalent Organic Framework Applications
  • Computational Drug Discovery Methods

Graeme M. Day has coauthored extensively with several researchers, frequently collaborating with Andrew I. Cooper, Thierry Maris, James D. Wuest, Marc A. Little, and Aaron Gabriel Nunez Avila.

Their recent publications include:

  • Porous Isoreticular Non-Metal Organic Frameworks, 2024, Nature
  • An Expandable Hydrogen-Bonded Organic Framework Characterized by Three-Dimensional Electron Diffraction, 2020, Journal of the American Chemical Society
  • Photocatalytic Proton Reduction by a Computationally Identified, Molecular Hydrogen-Bonded Framework, 2020, Journal of Materials Chemistry A
  • Modular, Multi-Robot Integration of Laboratories: An Autonomous Workflow for Solid-State Chemistry, 2023, Chemical Science
  • Multifidelity Statistical Machine Learning for Molecular Crystal Structure Prediction, 2020, The Journal of Physical Chemistry A

Their publications are primarily featured in venues such as The Cambridge Structural Database, with 62 publications, Journal of the American Chemical Society, Crystal Growth & Design, Faraday Discussions, and ePrints Soton (University of Southampton).

Best Publications

  • Report on the sixth blind test of organic crystal-structure prediction methods

    Anthony M. Reilly;Richard I. Cooper;Claire S. Adjiman;Saswata Bhattacharya

  • Improving Mechanical Properties of Crystalline Solids by Cocrystal Formation: New Compressible Forms of Paracetamol

    Shyam Karki;Tomislav Friščić;László Fábián;Peter R. Laity

  • A third blind test of crystal structure prediction

    G.M. Day;W.D.S. Motherwell;H.L. Ammon;S.X.M. Boerrigter

  • A Cocrystal Strategy to Tune the Luminescent Properties of Stilbene-Type Organic Solid-State Materials

    Dongpeng Yan;Amit Delori;Gareth O. Lloyd;Tomislav Friščić

  • Modular and predictable assembly of porous organic molecular crystals

    James T. A. Jones;Tom Hasell;Xiaofeng Wu;John Bacsa

  • Significant progress in predicting the crystal structures of small organic molecules--a report on the fourth blind test.

    Graeme M. Day;Timothy G. Cooper;Aurora J. Cruz-Cabeza;Katarzyna E. Hejczyk

  • Towards crystal structure prediction of complex organic compounds--a report on the fifth blind test.

    David A. Bardwell;Claire S. Adjiman;Yelena A. Arnautova;Ekaterina Bartashevich

  • Functional materials discovery using energy–structure–function maps

    Angeles Pulido;Linjiang Chen;Tomasz Kaczorowski;Daniel Holden

  • Static and lattice vibrational energy differences between polymorphs

    Jonas Nyman;Graeme M. Day

  • Modelling organic crystal structures using distributed multipole and polarizability-based model intermolecular potentials

    Sarah L. Price;Maurice Leslie;Gareth W. A. Welch;Matthew Habgood

  • The prediction, morphology, and mechanical properties of the polymorphs of paracetamol.

    Theresa Beyer;Graeme M. Day;Sarah L. Price

  • Terahertz time-domain spectroscopy and the quantitative monitoring of mechanochemical cocrystal formation

    K. Lien Nguyen;Tomislav Friščić;Graeme M. Day;Lynn F. Gladden

  • Powder crystallography by combined crystal structure prediction and high-resolution 1H solid-state NMR spectroscopy.

    Elodie Salager;Graeme M. Day;Robin S. Stein;Chris J. Pickard

  • Current approaches to predicting molecular organic crystal structures

    Graeme M. Day

  • Near-Ideal Xylene Selectivity in Adaptive Molecular Pillar[ n]arene Crystals.

    Kecheng Jie;Ming Liu;Yujuan Zhou;Marc A. Little

  • Machine learning for the structure–energy–property landscapes of molecular crystals

    Félix Musil;Sandip De;Jack Yang;Joshua E. Campbell

  • De novo determination of the crystal structure of a large drug molecule by crystal structure prediction-based powder NMR crystallography.

    Maria Baias;Jean-Nicolas Dumez;Per Henrik Svensson;Staffan Schantz

  • On–Off Porosity Switching in a Molecular Organic Solid

    James T. A. Jones;Daniel Holden;Tamoghna Mitra;Tom Hasell

  • Evaluating the Energetic Driving Force for Cocrystal Formation.

    Christopher Robert Taylor;Graeme M. Day

  • Which conformations make stable crystal structures? Mapping crystalline molecular geometries to the conformational energy landscape

    Hugh P. G. Thompson;Graeme M. Day

  • Understanding the influence of polymorphism on phonon spectra : Lattice dynamics calculations and terahertz spectroscopy of carbamazepine

    G.M. Day;J.A. Zeitler;W. Jones;T. Rades

  • Modular and predictable assembly of porous organic molecular crystals

    AI Cooper;GM Day;Jta Jones;X Wu

Frequent Co-Authors

William Jones
William Jones University of Cambridge
Andrew I. Cooper
Andrew I. Cooper University of Liverpool
Sarah L. Price
Sarah L. Price University College London
Kim E. Jelfs
Kim E. Jelfs Imperial College London
Tomislav Friščić
Tomislav Friščić University of Birmingham
Tom Hasell
Tom Hasell University of Liverpool
Rob Clowes
Rob Clowes University of Liverpool
Xiao-Feng Wu
Xiao-Feng Wu Dalian Institute of Chemical Physics
Dave J. Adams
Dave J. Adams University of Glasgow
Artem R. Oganov
Artem R. Oganov Skolkovo Institute of Science and Technology

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