World's Best Scientists 2026 revealed!
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Mechanical and Aerospace Engineering
USA
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
96
Citations
29902
World Ranking
84
National Ranking
45

Materials Science

D-Index
96
Citations
30266
World Ranking
1288
National Ranking
412

Surya R. Kalidindi publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Surya R. Kalidindi sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 426 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Surya R. Kalidindi D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Surya R. Kalidindi sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 96 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in United States Leader Award
  • 2011 - ASM Fellow "For outstanding scientific and technical contributions in the field of plasticity and microstructural design and outstanding leadership in materials education and training."
  • 2011 - Fellow of the American Society of Mechanical Engineers

Overview

Surya R. Kalidindi is affiliated with the Georgia Institute of Technology in the United States. Their research primarily focuses on engineering and materials science, with a significant number of publications in these fields. They have an emphasis on several subfields including materials chemistry, mechanical engineering, mechanics of materials, biomedical engineering, and statistics, probability, and uncertainty.

The main topics of Surya R. Kalidindi's research encompass a diverse range of areas within materials science and engineering. These topics include machine learning applications in materials science, metal and thin film mechanics, titanium alloys microstructure and properties, probabilistic and robust engineering design, X-ray diffraction in crystallography, and additive manufacturing materials and processes, as well as additive manufacturing and 3D printing technologies.

Frequent co-authors collaborating with Surya R. Kalidindi are Aditya Venkatraman, Adam P. Generale, Andreas E. Robertson, David L. McDowell, and Berkay Yucel.

They have published extensively in various respected venues. Notable publication venues where they have multiple contributions include SSRN Electronic Journal, Acta Materialia, JOM, arXiv (Cornell University), and Mechanics of Materials.

Some of their recent papers include:

  • "Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials," 2022, Acta Biomaterialia
  • "Carbon stoichiometry and mechanical properties of high entropy carbides," 2021, Acta Materialia
  • "Feature engineering of material structure for AI-based materials knowledge systems," 2020, Journal of Applied Physics
  • "Correlation of Measured Load-Displacement Curves in Small Punch Tests with Tensile Stress-Strain Curves," 2020, Acta Materialia
  • "Bayesian analysis of parametric uncertainties and model form probabilities for two different crystal plasticity models of lamellar grains in α+β Titanium alloys," 2022, International Journal of Plasticity

The scientist has received recognition in the form of awards including being named an ASM Fellow and a Fellow of the American Society of Mechanical Engineers, both awarded in 2011. The ASM Fellow award citation highlights contributions in plasticity, microstructural design, and leadership in materials education and training.

Best Publications

  • Crystallographic texture evolution in bulk deformation processing of FCC metals

    S.R. Kalidindi;C.A. Bronkhorst;L. Anand

  • Deformation twinning in AZ31: Influence on strain hardening and texture evolution

    Marko Knezevic;Amanda Levinson;Ryan Harris;Raja K. Mishra

  • Incorporation of deformation twinning in crystal plasticity models

    Surya R. Kalidindi

  • Influence of grain size and stacking-fault energy on deformation twinning in fcc metals

    Ehab El-Danaf;Surya R. Kalidindi;Roger D. Doherty

  • Strain hardening of titanium: role of deformation twinning

    Ayman A. Salem;Surya R. Kalidindi;Roger D. Doherty

  • Polycrystalline plasticity and the evolution of crystallographic texture in FCC metals

    C. A. Bronkhorst;S. R. Kalidindi;L. Anand

  • Strain hardening regimes and microstructural evolution during large strain compression of low stacking fault energy fcc alloys that form deformation twins

    Sirous Asgari;Ehab El-Danaf;Surya R. Kalidindi;Roger D. Doherty

  • Processing and Mechanical Properties of Ti3SiC2: II, Effect of Grain Size and Deformation Temperature

    Tamer El-Raghy;Michel W. Barsoum;Antonios Zavaliangos;Surya R. Kalidindi

  • Damage Mechanisms around Hardness Indentations in Ti3SiC2

    Tamer El-Raghy;Antonios Zavaliangos;Michel W. Barsoum;Surya R. Kalidindi

  • Key computational modeling issues in Integrated Computational Materials Engineering

    Jitesh H. Panchal;Surya R. Kalidindi;David L. Mcdowell

  • Fully reversible, dislocation-based compressive deformation of Ti3SiC2 to 1 GPa.

    M.W. Barsoum;T. Zhen;S.R. Kalidindi;M. Radovic

  • Strain hardening due to deformation twinning in α-titanium : Constitutive relations and crystal-plasticity modeling

    A.A. Salem;A.A. Salem;S.R. Kalidindi;S.L. Semiatin

  • Spherical nanoindentation stress–strain curves

    Siddhartha Pathak;Surya R. Kalidindi

  • Microstructure Sensitive Design for Performance Optimization

    David T. Fullwood;Stephen R. Niezgoda;Brent L. Adams;Surya R. Kalidindi

  • A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics

    Frederic E. Bock;Roland C. Aydin;Christian J. Cyron;Christian J. Cyron;Norbert Huber;Norbert Huber

  • Microstructure reconstructions from 2-point statistics using phase-recovery algorithms

    David T. Fullwood;Stephen R. Niezgoda;Surya R. Kalidindi

  • Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

    Zijiang Yang;Yuksel C. Yabansu;Reda Al-Bahrani;Wei keng Liao

  • Material structure-property linkages using three-dimensional convolutional neural networks

    Ahmet Cecen;Hanjun Dai;Yuksel C. Yabansu;Surya R. Kalidindi

  • Work-hardening/softening behaviour of b.c.c. polycrystals during changing strain paths: I. An integrated model based on substructure and texture evolution, and its prediction of the stress–strain behaviour of an IF steel during two-stage strain paths

    B. Peeters;M. Seefeldt;C. Teodosiu;S.R. Kalidindi

  • Determination of the effective zero-point and the extraction of spherical nanoindentation stress–strain curves

    Surya R. Kalidindi;Siddhartha Pathak

  • Modeling anisotropic strain hardening and deformation textures in low stacking fault energy fcc metals

    Surya R. Kalidindi

  • Prediction of crystallographic texture evolution and anisotropic stress–strain curves during large plastic strains in high purity α-titanium using a Taylor-type crystal plasticity model

    Xianping Wu;Surya R. Kalidindi;Carl Necker;Ayman A. Salem;Ayman A. Salem

Frequent Co-Authors

Roger D. Doherty
Roger D. Doherty Drexel University
Michel W. Barsoum
Michel W. Barsoum Drexel University
Brent L. Adams
Brent L. Adams Brigham Young University
Marko Knezevic
Marko Knezevic University of New Hampshire
David L. McDowell
David L. McDowell Georgia Institute of Technology
Antonios Zavaliangos
Antonios Zavaliangos Drexel University
Emin Caglan Kumbur
Emin Caglan Kumbur Drexel University
Britta Nestler
Britta Nestler Karlsruhe Institute of Technology
P. Van Houtte
P. Van Houtte KU Leuven
Tamer El-Raghy
Tamer El-Raghy Drexel University

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