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D-Index & Metrics

Materials Science

D-Index
44
Citations
11118
World Ranking
11919
National Ranking
2762

Maria K. Y. Chan 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 Maria K. Y. Chan 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: 269 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Maria K. Y. Chan 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 Maria K. Y. Chan 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: 44 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

Maria K. Y. Chan is affiliated with Argonne National Laboratory in the United States. Their research spans numerous aspects of materials science and engineering, with a significant focus on materials chemistry and electrical and electronic engineering.

Their work covers several main fields of study:

  • Materials Science
  • Engineering

Within these fields, key subfields of study include:

  • Materials Chemistry
  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Radiation
  • Structural Biology

The main topics of research addressed by Maria K. Y. Chan include:

  • Machine Learning in Materials Science
  • Crystallization and Solubility Studies
  • X-ray Diffraction in Crystallography
  • Chalcogenide Semiconductor Thin Films
  • Advanced Electron Microscopy Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Electron and X-Ray Spectroscopy Techniques

Some recent papers featuring their research contributions are:

  • Synthesis of borophane polymorphs through hydrogenation of borophene (2021), published in Science
  • Origin and regulation of oxygen redox instability in high-voltage battery cathodes (2022), published in Nature Energy
  • Machine learning in scanning transmission electron microscopy (2022), published in Nature Reviews Methods Primers
  • Understanding, discovery, and synthesis of 2D materials enabled by machine learning (2022), published in Chemical Society Reviews
  • Machine learning on neutron and x-ray scattering and spectroscopies (2021), published in Chemical Physics Reviews

The frequent collaborators with whom they have coauthored multiple publications include:

  • Venkata Surya Chaitanya Kolluru
  • Luqing Wang
  • Jianguo Wen
  • Wenqian Xu
  • Mercouri G. Kanatzidis

Maria K. Y. Chan's research outputs have appeared in several prominent publication venues, such as:

  • The Cambridge Structural Database
  • Microscopy and Microanalysis
  • arXiv (Cornell University)
  • MRS Bulletin
  • npj Computational Materials

Best Publications

  • Trends in activity for the water electrolyser reactions on 3d M(Ni,Co,Fe,Mn) hydr(oxy)oxide catalysts.

    Ram Subbaraman;Dusan Tripkovic;Kee-Chul Chang;Dusan Strmcnik

  • Ultralow-loading platinum-cobalt fuel cell catalysts derived from imidazolate frameworks.

    Lina Chong;Jianguo Wen;Joseph Kubal;Joseph Kubal;Fatih G. Sen

  • Edge-terminated molybdenum disulfide with a 9.4-Å interlayer spacing for electrochemical hydrogen production

    Min Rui Gao;Maria K. Y. Chan;Yugang Sun

  • Hybrid density functional calculations of redox potentials and formation energies of transition metal compounds

    Vincent L. Chevrier;Shyue P. Ong;Rickard Armiento;Maria K. Y. Chan

  • First principles simulations of the electrochemical lithiation and delithiation of faceted crystalline silicon

    Maria K. Chan;Christopher M. Wolverton;Jeffrey P. Greeley

  • First-Principles Analysis of Defect Thermodynamics and Ion Transport in Inorganic SEI Compounds: LiF and NaF.

    Handan Yildirim;Alper Kinaci;Maria K Y Chan;Jeffrey P Greeley

  • Enabling the high capacity of lithium-rich anti-fluorite lithium iron oxide by simultaneous anionic and cationic redox

    Chun Zhan;Zhenpeng Yao;Jun Lu;Lu Ma

  • Synthesis of borophane polymorphs through hydrogenation of borophene.

    Qiucheng Li;Venkata Surya Chaitanya Kolluru;Venkata Surya Chaitanya Kolluru;Matthew S. Rahn;Eric Schwenker;Eric Schwenker

  • Origin and regulation of oxygen redox instability in high-voltage battery cathodes

    Unknown

  • First-principles electronic structure and relative stability of pyrite and marcasite: Implications for photovoltaic performance

    Ruoshi Sun;M. K. Y. Chan;M. K. Y. Chan;G. Ceder

  • On the Origin of Photoluminescence in Silicon Nanocrystals: Pressure-Dependent Structural and Optical Studies

    Daniel C. Hannah;Jihua Yang;Paul Podsiadlo;Maria K.Y. Chan

  • First-principles analysis of defect-mediated Li adsorption on graphene.

    Handan Yildirim;Alper Kinaci;Zhi-Jian Zhao;Maria K. Y. Chan

  • Towards first-principles based prediction of highly accurate electrochemical Pourbiax diagrams

    Zhenhua Zeng;Maria Chan;Jeff Greeley

  • Understanding, discovery, and synthesis of 2D materials enabled by machine learning

    Unknown

  • Machine Learning Force Field Parameters from Ab Initio Data

    Ying Li;Hui Li;Frank C. Pickard;Badri Narayanan

  • Prediction of semiconductor band edge positions in aqueous environments from first principles

    Yabi Wu;M. K. Y. Chan;M. K. Y. Chan;G. Ceder

  • Machine Learning Classical Interatomic Potentials for Molecular Dynamics from First-Principles Training Data

    Henry Chan;Badri Narayanan;Badri Narayanan;Mathew J. Cherukara;Fatih G. Sen

  • Synthesis, Characterization, and Structural Modeling of High-Capacity, Dual Functioning MnO2 Electrode/Electrocatalysts for Li-O2 Cells

    Lynn Trahey;Naba K. Karan;Maria K. Y. Chan;Jun Lu

  • Theory of Thermal Relaxation of Electrons in Semiconductors.

    Sridhar Sadasivam;Maria K. Y. Chan;Pierre Darancet

  • Dopant Modulated Li Insertion in Si for Battery Anodes: Theory and Experiment

    Brandon R. Long;Maria K. Y. Chan;Jeffrey P. Greeley;Andrew A. Gewirth

  • Ab Initio-Based Bond Order Potential to Investigate Low Thermal Conductivity of Stanene Nanostructures.

    Mathew J. Cherukara;Badri Narayanan;Alper Kinaci;Kiran Sasikumar

  • Intrinsic stoichiometry and oxygen-induced p -type conductivity of pyrite FeS 2

    Ruoshi Sun;M. K. Y. Chan;M. K. Y. Chan;ShinYoung Kang (강신영);G. Ceder

  • Towards accurate prediction of catalytic activity in IrO2 nanoclusters via first principles-based variable charge force field

    F. G. Sen;A. Kinaci;B. Narayanan;S. K. Gray;S. K. Gray

Frequent Co-Authors

Fatih G. Sen
Fatih G. Sen Argonne National Laboratory
Robert F. Klie
Robert F. Klie University of Illinois at Chicago
Jeffrey Greeley
Jeffrey Greeley Purdue University West Lafayette
Richard D. Schaller
Richard D. Schaller Argonne National Laboratory
Gerbrand Ceder
Gerbrand Ceder University of California, Berkeley
Subramanian K. R. S. Sankaranarayanan
Subramanian K. R. S. Sankaranarayanan University of Illinois at Chicago
Michael M. Thackeray
Michael M. Thackeray Argonne National Laboratory
Chris Wolverton
Chris Wolverton Northwestern University
Moon J. Kim
Moon J. Kim The University of Texas at Dallas
Giulia Galli
Giulia Galli University of Chicago

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