World's Best Scientists 2026 revealed!

D-Index & Metrics

Materials Science

D-Index
66
Citations
14934
World Ranking
5385
National Ranking
214

Marco J. Starink 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 Marco J. Starink 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: 223 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Marco J. Starink 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 Marco J. Starink 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: 66 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Composite material
  • Thermodynamics
  • Metallurgy

The scientist’s investigation covers issues in Metallurgy, Thermodynamics, Precipitation, Microstructure and Differential scanning calorimetry. Marco J. Starink studied Metallurgy and Dislocation that intersect with Grain boundary. His work in Thermodynamics tackles topics such as Activation energy which are related to areas like Thermal analysis.

His Precipitation research incorporates elements of Crystallography and Isothermal process. Marco J. Starink works mostly in the field of Microstructure, limiting it down to topics relating to Intermetallic and, in certain cases, Ultimate tensile strength, Fracture toughness and Toughness, as a part of the same area of interest. His Differential scanning calorimetry research integrates issues from Exothermic reaction, Transmission electron microscopy, Calorimetry, Electron diffraction and Solvus.

His most cited work include:

  • The determination of activation energy from linear heating rate experiments: a comparison of the accuracy of isoconversion methods (995 citations)
  • Precipitates and intermetallic phases in precipitation hardening Al–Cu–Mg–(Li) based alloys (522 citations)
  • A new method for the derivation of activation energies from experiments performed at constant heating rate (266 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Metallurgy, Alloy, Precipitation, Microstructure and Thermodynamics. Metallurgy is closely attributed to Differential scanning calorimetry in his research. His research integrates issues of Torsion and Analytical chemistry in his study of Alloy.

As a part of the same scientific study, Marco J. Starink usually deals with the Precipitation, concentrating on Crystallography and frequently concerns with Diffraction. His work carried out in the field of Microstructure brings together such families of science as Slip, Scanning electron microscope and Welding. Thermal analysis is closely connected to Activation energy in his research, which is encompassed under the umbrella topic of Thermodynamics.

He most often published in these fields:

  • Metallurgy (63.43%)
  • Alloy (39.35%)
  • Precipitation (31.02%)

What were the highlights of his more recent work (between 2014-2021)?

  • Metallurgy (63.43%)
  • Alloy (39.35%)
  • Microstructure (30.09%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Metallurgy, Alloy, Microstructure, Composite material and Thermodynamics. His work on Indentation hardness, Intermetallic and Aluminium as part of general Metallurgy research is frequently linked to Sensitivity, bridging the gap between disciplines. His Alloy study combines topics in areas such as Quenching, Grain boundary, Hardening, Dissolution and Dislocation.

His Microstructure study incorporates themes from Torsion, Solid solution and Grain size. He has researched Thermodynamics in several fields, including Annealing and Precipitation. His Precipitation research integrates issues from Phase transition and Volume.

Between 2014 and 2021, his most popular works were:

  • Microstructural evolution, strengthening and thermal stability of an ultrafine-grained Al–Cu–Mg alloy (85 citations)
  • Altered ageing behaviour of a nanostructured Mg-8.2Gd-3.8Y-1.0Zn-0.4Zr alloy processed by high pressure torsion (53 citations)
  • Predicting the quench sensitivity of Al-Zn-Mg-Cu alloys: a model for linear cooling and strengthening (48 citations)

In his most recent research, the most cited papers focused on:

  • Composite material
  • Thermodynamics
  • Alloy

His main research concerns Metallurgy, Alloy, Indentation hardness, Microstructure and Dislocation. His Metallurgy research is mostly focused on the topic Grain size. His Alloy study deals with the bigger picture of Composite material.

His Indentation hardness research incorporates themes from Differential scanning calorimetry, Transmission electron microscopy and Scanning electron microscope. The Dislocation study combines topics in areas such as Hardening, Grain boundary and Severe plastic deformation. His study in Thermodynamics is interdisciplinary in nature, drawing from both Optical microscope, Annealing and Precipitation.

Best Publications

  • The determination of activation energy from linear heating rate experiments: a comparison of the accuracy of isoconversion methods

    M.J Starink

  • Precipitates and intermetallic phases in precipitation hardening Al–Cu–Mg–(Li) based alloys

    S. C. Wang;M. J. Starink

  • A Model for the Yield Strength of Overaged Al-Zn-Mg-Cu Alloys

    M.J. Starink;S.C. Wang

  • A new method for the derivation of activation energies from experiments performed at constant heating rate

    M.J. Starink

  • Effect of self-accommodation on α/α boundary populations in pure titanium

    S.C. Wang;M. Aindow;M.J. Starink

  • Two types of S phase precipitates in Al–Cu–Mg alloys

    S.C. Wang;M.J. Starink

  • Analysis of aluminium based alloys by calorimetry: quantitative analysis of reactions and reaction kinetics

    M.J. Starink

  • Precipitation hardening in Al¿Cu¿Mg alloys revisited

    S.C. Wang;M.J. Starink;N. Gao

  • Altered ageing behaviour of a nanostructured Mg-8.2Gd-3.8Y-1.0Zn-0.4Zr alloy processed by high pressure torsion

    W.T. Sun;X.G. Qiao;M.Y. Zheng;C. Xu

  • Effect of compositional variations on characteristics of coarse intermetallic particles in overaged 7000 aluminium alloys

    Li X.-M.;M.J. Starink

  • Microstructural evolution, strengthening and thermal stability of an ultrafine-grained Al–Cu–Mg alloy

    Ying Chen;Ying Chen;Nong Gao;Gang Sha;Gang Sha;Simon P. Ringer

  • On the meaning of the impingement parameter in kinetic equations for nucleation and growth reactions

    M. J. Starink

  • The thermodynamics of and strengthening due to co-clusters: General theory and application to the case of Al–Cu–Mg alloys

    M.J. Starink;S.C. Wang

  • A Model for Precipitation Kinetics and Strengthening in Al-Cu-Mg Alloys

    I.N. Khan;M.J. Starink;J.L. Yan

  • β′ and β precipitation in an Al–Mg alloy studied by DSC and TEM

    M.J. Starink;A.-M. Zahra

  • The strength of friction stir welded and friction stir processed aluminium alloys

    M.J. Starink;A. Deschamps;S.C. Wang

  • Microstrucure and strengthening of Al–Li–Cu–Mg alloys and MMCs: II. Modelling of yield strength

    M.J. Starink;P. Wang;I. Sinclair;P.J. Gregson

  • Kinetic equations for diffusion-controlled precipitation reactions

    M. J Starink

  • Estimation of dislocation densities in cold rolled Al-Mg-Cu-Mn alloys by combination of yield strength data, EBSD and strength models

    S. C. Wang;Z. Zhu;M. J. Starink

  • Activation energy determination for linear heating experiments: deviations due to neglecting the low temperature end of the temperature integral

    M. J. Starink

  • PREDICTING GRAIN REFINEMENT BY COLD SEVERE PLASTIC DEFORMATION IN ALLOYS USING VOLUME AVERAGED DISLOCATION GENERATION

    Marco J. Starink;Xiao Guang Qiao;Jiuwen Zhang;Nong Gao

  • A Model for the Electrical Conductivity of Peak-Aged and Overaged Al-Zn-Mg-Cu Alloys

    M. J. Starink;X. M. Li

Frequent Co-Authors

Nong Gao
Nong Gao University of Southampton
Shuncai Wang
Shuncai Wang University of Southampton
Ian Sinclair
Ian Sinclair University of Southampton
Xiao Guang Qiao
Xiao Guang Qiao Harbin Institute of Technology
Terence G. Langdon
Terence G. Langdon University of Southern California
M.Y. Zheng
M.Y. Zheng Harbin Institute of Technology
Paul Rometsch
Paul Rometsch Monash University
Gang Sha
Gang Sha Nanjing University of Science and Technology
Christoph Schick
Christoph Schick University of Rostock
Paul K. Chu
Paul K. Chu City University of Hong Kong

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