World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
68
Citations
19189
World Ranking
435
National Ranking
202

Sami F. Masri 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 Sami F. Masri 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: 327 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Sami F. Masri 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 Sami F. Masri 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: 68 D-Index — 88th percentile

88% 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

  • 2007 - Fellow of the American Society of Mechanical Engineers

Overview

Sami F. Masri is affiliated with the University of Southern California in the United States and has a primary research focus within the field of Engineering. Their work encompasses several subfields including Civil and Structural Engineering, Mechanical Engineering, Control and Systems Engineering, Mechanics of Materials, and Atomic and Molecular Physics, and Optics.

Their research topics cover various aspects of structural and mechanical systems, including:

  • Structural Health Monitoring Techniques
  • Vibration Control and Rheological Fluids
  • Seismic Performance and Analysis
  • Infrastructure Maintenance and Monitoring
  • Ultrasonics and Acoustic Wave Propagation
  • Probabilistic and Robust Engineering Design
  • Model Reduction and Neural Networks

Sami F. Masri has contributed to multiple publication venues, particularly in these journals:

  • Nonlinear Dynamics
  • Mechanical Systems and Signal Processing
  • Structural Health Monitoring
  • Structural Control and Health Monitoring
  • Measurement

Recent papers authored by or related to Masri include:

  • "Vibration feature extraction using signal processing techniques for structural health monitoring: A review", 2022, Mechanical Systems and Signal Processing
  • "A review on computational intelligence for identification of nonlinear dynamical systems", 2020, Nonlinear Dynamics
  • "Structural Damage Localization and Quantification Based on a CEEMDAN Hilbert Transform Neural Network Approach: A Model Steel Truss Bridge Case Study", 2020, Sensors
  • "Structural damage detection method based on the complete ensemble empirical mode decomposition with adaptive noise: a model steel truss bridge case study", 2021, Structural Health Monitoring
  • "Damage detection and localization of a steel truss bridge model subjected to impact and white noise excitations using empirical wavelet transform neural network approach", 2021, Measurement

Frequent collaborators in their research include Chunwei Zhang, Zheng Lu, Xilin Lü, Gholamreza Gholipour, and Mohamed H. Abdelbarr.

In addition to journal publications, Masri has contributed to scholarly books, including a publication with Springer Nature titled "Particle Damping Technology Based Structural Control" published in 2020.

Recognition for Masri's contributions includes being named a Fellow of the American Society of Mechanical Engineers in 2007.

Best Publications

  • STRUCTURAL CONTROL: PAST, PRESENT, AND FUTURE

    G. W. Housner;L. A. Bergman;T. K. Caughey;A. G. Chassiakos

  • A Nonparametric Identification Technique for Nonlinear Dynamic Problems

    S. F. Masri;T. K. Caughey

  • A vision-based approach for the direct measurement of displacements in vibrating systems

    A Mazen Wahbeh;John P Caffrey;Sami F Masri

  • Monitoring civil structures with a wireless sensor network

    K. Chintalapudi;T. Fu;J. Paek;N. Kothari

  • Vibration feature extraction using signal processing techniques for structural health monitoring: A review

    Unknown

  • A wireless sensor network for structural health monitoring: performance and experience

    Jeongyeup Paek;K. Chintalapudi;R. Govindan;J. Caffrey

  • Identification of Nonlinear Dynamic Systems Using Neural Networks

    S. F. Masri;A. G. Chassiakos;T. K. Caughey

  • Application of Neural Networks for Detection of Changes in Nonlinear Systems

    S. F. Masri;A. W. Smyth;A. G. Chassiakos;T. K. Caughey

  • Adaptive vision-based crack detection using 3D scene reconstruction for condition assessment of structures

    Mohammad R. Jahanshahi;Sami F. Masri

  • On the stability of the impact damper.

    S. F. Masri;T. K. Caughey

  • An innovative methodology for detection and quantification of cracks through incorporation of depth perception

    Mohammad R. Jahanshahi;Sami F. Masri;Curtis W. Padgett;Gaurav S. Sukhatme

  • On-Line Parametric Identification of MDOF Nonlinear Hysteretic Systems

    A. W. Smyth;S. F. Masri;A. G. Chassiakos;T. K. Caughey

  • Particle impact dampers: Past, present, and future

    Zheng Lu;Zixin Wang;Sami F. Masri;Xilin Lu

  • Neural Network Approach to Detection of Changes in Structural Parameters

    S. F. Masri;M. Nakamura;A. G. Chassiakos;T. K. Caughey

  • A Wireless Sensor Network for Structural Health Monitoring: Performance and Experience

    Jeongyeup Paek;Krishna Chintalapudi;John Caffrey;Ramesh Govindan

  • Development of adaptive modeling techniques for non-linear hysteretic systems

    Andrew W. Smyth;Sami F. Masri;Elias B. Kosmatopoulos;Anastassios G. Chassiakos

  • System identification approach to detection of structural changes

    M. S. Agbabian;S. F. Masri;R. K. Miller;T. K. Caughey

  • A novel approach for the structural identification and monitoring of a full-scale 17-story building based on ambient vibration measurements

    Reza D Nayeri;Sami F Masri;Roger G Ghanem;Robert L Nigbor

  • Identification of Nonlinear Vibrating Structures: Part II—Applications

    S. F. Masri;R. K. Miller;A. F. Saud;T. K. Caughey

  • A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures

    Mohammad R. Jahanshahi;Jonathan S. Kelly;Sami F. Masri;Gaurav S. Sukhatme

  • Modeling the oscillatory dynamic behaviour of electrorheological materials in shear

    R C Ehrgott;S F Masri

  • Nonparametric Identification of Nearly Arbitrary Nonlinear Systems

    S. F. Masri;H. Sassi;T. K. Caughey

Frequent Co-Authors

Thomas K. Caughey
Thomas K. Caughey California Institute of Technology
Andrew W. Smyth
Andrew W. Smyth Columbia University
Roger Ghanem
Roger Ghanem University of Southern California
George A. Bekey
George A. Bekey University of Southern California
Joel P. Conte
Joel P. Conte University of California, San Diego
Bin Xu
Bin Xu Shenzhen University
Ahmed Elgamal
Ahmed Elgamal University of California, San Diego
Ramesh Govindan
Ramesh Govindan University of Southern California
Richard O. Claus
Richard O. Claus Virginia Tech
Elias B. Kosmatopoulos
Elias B. Kosmatopoulos Democritus University of Thrace

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