World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
68
Citations
26258
World Ranking
1183
National Ranking
388

Roger Ghanem 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 Roger Ghanem 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: 318 publications — 79th percentile

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

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

Roger Ghanem 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 Roger Ghanem 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: 68 D-Index — 88th percentile

88% 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

  • 2019 - SIAM Fellow For his seminal contributions to the mathematical foundations of uncertainty quantification methods.
  • 2018 - Fellow of the International Association for Computational Mechanics (IACM)
  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2009 - THE BELYTSCHKO MEDAL For outstanding and sustained contributions to the development and dissemination of uncertainty quantification methods and their application to structural engineering

Overview

Roger Ghanem is affiliated with the University of Southern California in the United States. Their research spans multiple fields including engineering and computer science, with a focus on probabilistic and robust engineering design, model reduction and neural networks, and structural health monitoring techniques.

The primary domains of Ghanem's work include:

  • Probabilistic and Robust Engineering Design
  • Model Reduction and Neural Networks
  • Structural Health Monitoring Techniques
  • Gaussian Processes and Bayesian Inference
  • Transportation Planning and Optimization
  • Advanced Multi-Objective Optimization Algorithms
  • Wind and Air Flow Studies

Their research is often situated within the following subfields of study:

  • Statistics, Probability and Uncertainty
  • Artificial Intelligence
  • Civil and Structural Engineering
  • Statistical and Nonlinear Physics
  • Environmental Engineering

Frequent publication venues for Ghanem's research include:

  • Computer Methods in Applied Mechanics and Engineering
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Reliability Engineering & System Safety
  • Computational Mechanics

They have collaborated frequently with several researchers, including:

  • Xiaoshu Zeng
  • Christian Soize
  • Ruda Zhang
  • Bora Gencturk
  • Zhiheng Wang

Selected recent publications by Roger Ghanem include:

  • "An extended polynomial chaos expansion for PDF characterization and variation with aleatory and epistemic uncertainties," 2021, Computer Methods in Applied Mechanics and Engineering
  • "A functional global sensitivity measure and efficient reliability sensitivity analysis with respect to statistical parameters," 2022, Computer Methods in Applied Mechanics and Engineering
  • "Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets," 2021, Computer Methods in Applied Mechanics and Engineering
  • "Probabilistic learning and updating of a digital twin for composite material systems," 2020, International Journal for Numerical Methods in Engineering
  • "Projection pursuit adaptation on polynomial chaos expansions," 2022, Computer Methods in Applied Mechanics and Engineering

Over their career, Ghanem's contributions have been recognized by multiple awards, including:

  • SIAM Fellow (2019) for seminal contributions to the mathematical foundations of uncertainty quantification methods
  • Fellow of the International Association for Computational Mechanics (IACM) (2018)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2016)
  • THE BELYTSCHKO MEDAL (2009) for contributions to the development and dissemination of uncertainty quantification methods and their application to structural engineering

Best Publications

  • Stochastic Finite Elements: A Spectral Approach

    Roger G. Ghanem;Pol D. Spanos

  • Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure

    Christian Soize;Roger Ghanem

  • Stochastic Finite Element Expansion for Random Media

    P. D. Spanos;Roger Ghanem

  • Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes

    Bert J. Debusschere;Habib N. Najm;Philippe P. Pébay;Omar M. Knio

  • Ingredients for a general purpose stochastic finite elements implementation

    Roger Ghanem

  • Uncertainty propagation using Wiener-Haar expansions

    O. P. Le Maître;O. M. Knio;H. N. Najm;R. G. Ghanem

  • Polynomial Chaos in Stochastic Finite Elements

    Roger Ghanem;P. D. Spanos

  • A stochastic projection method for fluid flow. I: basic formulation

    Olivier P. Le Maitre;Omar M. Kino;Habib N. Najm;Roger G. Ghanem

  • Handbook of Uncertainty Quantification

    Roger Ghanem;David Higdon;Houman Owhadi

  • A stochastic projection method for fluid flow II.: random process

    Olivier P. Le Maîetre;Matthew T. Reagan;Habib N. Najm;Roger G. Ghanem

  • Multi-resolution analysis of wiener-type uncertainty propagation schemes

    O. P. Le Maître;H. N. Najm;R. G. Ghanem;O. M. Knio

  • Numerical solution of spectral stochastic finite element systems

    Roger G. Ghanem;Robert M. Kruger

  • Uncertainty quantification in reacting-flow simulations through non-intrusive spectral projection

    Matthew T. Reagan;Habib N. Najm;Roger G. Ghanem;Omar M. Knio

  • Structural-System Identification. I: Theory

    Roger Ghanem;Masanobu Shinozuka

  • Spectral Stochastic Finite-Element Formulation for Reliability Analysis

    Roger G. Ghanem;Pol D. Spanos

  • Stochastic Finite-Element Analysis of Seismic Soil-Structure Interaction

    Dan M. Ghiocel;Roger G. Ghanem

  • Propagation of probabilistic uncertainty in complex physical systems using a stochastic finite element approach

    Roger Ghanem;John Red-Horse

  • Stochastic Finite Elements with Multiple Random Non-Gaussian Properties

    Roger Ghanem

  • Iterative solution of systems of linear equations arising in the context of stochastic finite elements

    M. F. Pellissetti;R. G. Ghanem

  • Polynomial chaos decomposition for the simulation of non-gaussian nonstationary stochastic processes

    Shigehiro Sakamoto;Roger Ghanem

  • A WAVELET-BASED APPROACH FOR THE IDENTIFICATION OF LINEAR TIME-VARYING DYNAMICAL SYSTEMS

    Roger Ghanem;Francesco Romeo

Frequent Co-Authors

Christian Soize
Christian Soize Université Gustave Eiffel
Habib N. Najm
Habib N. Najm Sandia National Laboratories
Pol D. Spanos
Pol D. Spanos Rice University
Omar M. Knio
Omar M. Knio King Abdullah University of Science and Technology
Sami F. Masri
Sami F. Masri University of Southern California
Ioannis G. Kevrekidis
Ioannis G. Kevrekidis Johns Hopkins University
James C. Spall
James C. Spall Johns Hopkins University Applied Physics Laboratory
Masanobu Shinozuka
Masanobu Shinozuka Columbia University
Jie Li
Jie Li Tongji University
Joseph C. Oefelein
Joseph C. Oefelein Georgia Institute of Technology

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