World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
8565
World Ranking
8874
National Ranking
2467

Ralph C. Smith publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ralph C. Smith sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 330 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ralph C. Smith D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ralph C. Smith sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2018 - SIAM Fellow For his contributions to uncertainty quantification and materials science.

Overview

Ralph C. Smith is affiliated with North Carolina State University in the United States. Their research spans multiple domains within engineering, with a primary focus on uncertainty quantification and materials science. The scientist's work covers topics such as probabilistic and robust engineering design, nuclear reactor physics and engineering, model reduction and neural networks, radiation detection and scintillator technologies, machine learning in materials science, computational drug discovery methods, and protein structure and dynamics.

Their main fields of study include engineering with significant contributions to aerospace engineering, statistics, probability and uncertainty, computational theory and mathematics, statistical and nonlinear physics, and computational mechanics. These areas reflect a broad interdisciplinary approach integrating computational and statistical methodologies with applied engineering problems.

Ralph C. Smith has published several recent papers in peer-reviewed journals and conference venues, including:

  • "Radiation Source Localization Using Surrogate Models Constructed from 3-D Monte Carlo Transport Physics Simulations," 2020, Nuclear Technology
  • "The maximum entropy method for data fusion and uncertainty quantification in multifunctional materials and structures," 2021, Journal of Intelligent Material Systems and Structures
  • "Quantifying collective motion patterns in mesenchymal cell populations using topological data analysis and agent-based modeling," 2024, Mathematical Biosciences
  • "A hierarchical Bayesian model for background variation in radiation source localization," 2021, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
  • "Effects of problem complexity reduction on parameter sensitivity and classification in charring ablator scenarios," 2022, Aerospace Science and Technology

The scientist's frequent co-authors include Mansoor A. Haider, Paul Miles, Alyson G. Wilson, William S. Oates, and Jared A. Cook. Their collaborative efforts are documented across multiple publications, indicating ongoing partnerships in research projects.

Ralph C. Smith's publication record features repeated contributions to venues such as arXiv (Cornell University), AIAA SCITECH 2023 Forum, Journal of Intelligent Material Systems and Structures, Nuclear Technology, and Bulletin of Mathematical Biology.

In addition to articles, the scientist has authored a book published by the Society for Industrial and Applied Mathematics: Uncertainty Quantification: Theory, Implementation, and Applications, Second Edition (2024), which has been cited in various works in the field.

Recognition of their work includes the SIAM Fellow award in 2018, granted for contributions to uncertainty quantification and materials science.

Best Publications

  • Uncertainty Quantification: Theory, Implementation, and Applications

    Ralph C. Smith

  • Smart Material Systems: Model Development

    Ralph C. Smith

  • Smart material structures: Modeling, estimation, and control

    R. C. Smith;H. T. Banks;H. Thomas Banks;Y. Wang

  • Structural magnetic strain model for magnetostrictive transducers

    M.J. Dapino;R.C. Smith;A.B. Flatau

  • Energy-based hysteresis model for magnetostrictive transducers

    F.T. Calkins;R.C. Smith;A.B. Flatau

  • Free energy model for hysteresis in magnetostrictive transducers

    Ralph C. Smith;Marcelo J. Dapino;Stefan Seelecke

  • A domain wall model for hysteresis in piezoelectric materials

    Ralph C. Smith;Zoubeida Ounaies

  • A Free Energy Model for Hysteresis in Ferroelectric Materials

    Ralph C. Smith;Stefan Seelecke;Zoubeida Ounaies;Joshua Smith

  • Smart Material Systems

    Ralph C. Smith

  • The modeling of piezoceramic patch interactions with shells, plates, and beams

    H. T. Banks;R. C. Smith;Yun Wang

  • Dust Destruction in Fast Shocks of Core-Collapse Supernova Remnants in the Large Magellanic Cloud

    Brian J. Williams;K.J. Borkowski;S.P. Reynolds;W.P. Blair

  • A unified framework for modeling hysteresis in ferroic materials

    Ralph C. Smith;Stefan Seelecke;Marcelo Dapino;Zoubeida Ounaies

  • Domain wall theory for ferroelectric hysteresis

    Ralph C. Smith;Craig L. Hom

  • A Coupled Structural-Magnetic Strain and Stress Model for Magnetostrictive Transducers.

    Marcelo J. Dapino;Ralph C. Smith;Leann E. Faidley;Alison B. Flatau

  • Reduced-order model feedback control design: numerical implementation in a thin shell model

    H.T. Banks;R.C.H. del Rosario;R.C. Smith

  • A homogenized energy framework for ferromagnetic hysteresis

    R.C. Smith;M.J. Dapino

  • Inverse compensation for hysteresis in magnetostrictive transducers

    R. C. Smith

  • The Sinc-Galerkin method for fourth-order differential equations

    Ralph C. Smith;Gary A. Bogar;Kenneth L. Bowers;John Lund

  • Approximation methods for control of structural acoustics models with piezoceramic actuators

    H.T. Banks;W. Fang;R.J. Silcox;R.C. Smith

  • Hysteresis modeling in smart material systems

    H. T. Banks;R. C. Smith

Frequent Co-Authors

Harvey Thomas Banks
Harvey Thomas Banks North Carolina State University
Marcelo J. Dapino
Marcelo J. Dapino The Ohio State University
Alison B. Flatau
Alison B. Flatau University of Maryland, College Park
Stefan Seelecke
Stefan Seelecke Saarland University
Ilse C. F. Ipsen
Ilse C. F. Ipsen North Carolina State University
Michael A. Demetriou
Michael A. Demetriou Worcester Polytechnic Institute
Jacob L. Jones
Jacob L. Jones North Carolina State University
Brian J. Reich
Brian J. Reich North Carolina State University
William P. Blair
William P. Blair Johns Hopkins University
Donald J. Leo
Donald J. Leo University of Georgia

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