World's Best Scientists 2026 revealed!
Stefano Curtarolo

Stefano Curtarolo

D-Index & Metrics

Materials Science

D-Index
79
Citations
34307
World Ranking
2755
National Ranking
776

Stefano Curtarolo 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 Stefano Curtarolo 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: 332 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Stefano Curtarolo 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 Stefano Curtarolo 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: 79 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2013 - Fellow of American Physical Society (APS) Citation For pioneering automatic highthroughput computational materials science, and for the creation of online materials development techniques, the ingredients of the Materials Genome Initiative

Overview

Stefano Curtarolo is affiliated with Duke University in the United States and has a significant body of work primarily within the fields of Materials Science and Engineering. Their research spans a range of subfields including Materials Chemistry, Mechanical Engineering, Biomedical Engineering, Mechanics of Materials, and Aerospace Engineering.

The scientist's main topics of work focus on Machine Learning in Materials Science, Advanced materials and composites, High Entropy Alloys studies, Metal and Thin Film Mechanics, X-ray Diffraction in Crystallography, High-Temperature Coating Behaviors, and Advanced Materials Characterization Techniques.

Notable recent papers authored or co-authored by Stefano Curtarolo include:

  • High-entropy ceramics, 2020, Nature Reviews Materials
  • Machine learning for alloys, 2021, Nature Reviews Materials
  • Theoretical prediction of high melting temperature for a Mo-Ru-Ta-W HCP multiprincipal element alloy, 2021, npj Computational Materials
  • Discovery of high-entropy ceramics via machine learning, 2020, npj Computational Materials
  • Materials design for hypersonics, 2024, Nature Communications

Stefano Curtarolo frequently collaborates with other researchers, with notable co-authors including Cormac Toher, Corey Oses, William G. Fahrenholtz, Marco Esters, and Simon Divilov.

The scientist has published extensively in a number of key venues, reflecting their active engagement with both the computational and experimental materials communities. Frequent publication venues include arXiv (Cornell University), Acta Materialia, npj Computational Materials, Computational Materials Science, and the Journal of the European Ceramic Society.

Stefano Curtarolo was recognized as a Fellow of the American Physical Society (APS) in 2013 with the citation highlighting contributions to pioneering automatic high-throughput computational materials science and the creation of online materials development techniques, which are linked to the Materials Genome Initiative.

Best Publications

  • Entropy-stabilized oxides

    Christina M. Rost;Edward Sachet;Trent Borman;Ali Moballegh

  • The high-throughput highway to computational materials design

    Stefano Curtarolo;Gus L. W. Hart;Gus L. W. Hart;Marco Buongiorno Nardelli;Marco Buongiorno Nardelli;Marco Buongiorno Nardelli;Natalio Mingo

  • High-throughput electronic band structure calculations: challenges and tools

    Wahyu Setyawan;Stefano Curtarolo

  • High-entropy ceramics

    Corey Oses;Cormac Toher;Stefano Curtarolo

  • AFLOW: An automatic framework for high-throughput materials discovery

    Stefano Curtarolo;Wahyu Setyawan;Gus L Hart;Michal Jahnatek

  • AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations

    Stefano Curtarolo;Stefano Curtarolo;Wahyu Setyawan;Shidong Wang;Junkai Xue

  • Charting the complete elastic properties of inorganic crystalline compounds

    Maarten de Jong;Wei Chen;Thomas Angsten;Anubhav Jain

  • High-entropy high-hardness metal carbides discovered by entropy descriptors

    Pranab Sarker;Tyler Harrington;Cormac Toher;Corey Oses

  • All The Catalytic Active Sites of MoS2 for Hydrogen Evolution

    Guoqing Li;Du Zhang;Qiao Qiao;Yifei Yu

  • Convergence of multi-valley bands as the electronic origin of high thermoelectric performance in CoSb3 skutterudites.

    Yinglu Tang;Yinglu Tang;Zachary M. Gibbs;Luis A. Agapito;Luis A. Agapito;Guodong Li;Guodong Li;Guodong Li

  • Machine learning modeling of superconducting critical temperature

    Valentin Stanev;Corey Oses;A. Gilad Kusne;Efrain Rodriguez

  • Phase stability and mechanical properties of novel high entropy transition metal carbides

    Tyler J. Harrington;Joshua Gild;Pranab Sarker;Cormac Toher

  • Universal fragment descriptors for predicting properties of inorganic crystals

    Olexandr Isayev;Corey Oses;Cormac Toher;Eric Gossett

  • Machine learning for alloys

    Gus L. W. Hart;Tim Mueller;Cormac Toher;Stefano Curtarolo

  • Finding Unprecedentedly Low-Thermal-Conductivity Half-Heusler Semiconductors via High-Throughput Materials Modeling

    Jesús Carrete;Wu Li;Natalio Mingo;Shidong Wang

  • Predicting crystal structures with data mining of quantum calculations.

    Stefano Curtarolo;Dane Morgan;Kristin Persson;John Rodgers

  • Ab initio lattice stability in comparison with CALPHAD lattice stability

    Y. Wang;S. Curtarolo;C. Jiang;R. Arroyave

  • Accuracy of ab initio methods in predicting the crystal structures of metals: A review of 80 binary alloys

    Stefano Curtarolo;Dane Morgan;Gerbrand Ceder

  • Materials Cartography: Representing and Mining Materials Space Using Structural and Electronic Fingerprints

    Olexandr Isayev;Denis Fourches;Eugene N. Muratov;Corey Oses

  • The AFLOW standard for high-throughput materials science calculations

    Camilo E. Calderon;Jose J. Plata;Cormac Toher;Corey Oses

  • SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates

    Runhai Ouyang;Stefano Curtarolo;Stefano Curtarolo;Emre Ahmetcik;Matthias Scheffler

  • Charting the complete elastic properties of inorganic crystalline

    Wei Chen;Thomas Angsten;Anubhav Jain;Randy Notestine

Frequent Co-Authors

Marco Buongiorno Nardelli
Marco Buongiorno Nardelli University of North Texas
Michael J. Mehl
Michael J. Mehl Duke University
Natalio Mingo
Natalio Mingo Grenoble Alpes University
Gerbrand Ceder
Gerbrand Ceder University of California, Berkeley
Jesús Carrete
Jesús Carrete University of Zaragoza
Ichiro Takeuchi
Ichiro Takeuchi University of Maryland, College Park
Kenneth S. Vecchio
Kenneth S. Vecchio University of California, San Diego
Kesong Yang
Kesong Yang University of California, San Diego
Donald W. Brenner
Donald W. Brenner North Carolina State University
Jon-Paul Maria
Jon-Paul Maria Pennsylvania State University

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