World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
36
Citations
6168
World Ranking
2494
National Ranking
891

Francesco Lanza di Scalea 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 Francesco Lanza di Scalea 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: 226 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Francesco Lanza di Scalea 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 Francesco Lanza di Scalea 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: 36 D-Index — 28th percentile

28% 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

  • 2002 - Hellman Fellow
  • 2000 - Hellman Fellow

Overview

Francesco Lanza di Scalea is affiliated with the University of California, San Diego in the United States. Their research primarily focuses on engineering, with significant contributions in subfields such as mechanics of materials, mechanical engineering, civil and structural engineering, ocean engineering, and geophysics.

The scientist's work covers several main research topics including ultrasonics and acoustic wave propagation, non-destructive testing techniques, structural health monitoring techniques, geophysical methods and applications, railway engineering and dynamics, seismic waves and analysis, and underwater acoustics research.

Recent papers by Francesco Lanza di Scalea include:

  • Damage imaging in skin-stringer composite aircraft panel by ultrasonic-guided waves using deep learning with convolutional neural network, 2021, Structural Health Monitoring
  • Non-destructive damage localization in built-up composite aerospace structures by ultrasonic guided-wave multiple-output scanning, 2022, Composite Structures
  • An ultrasonic scanning system for the inspection of composite stiffened panels from elastic constant identification via inversion of guided waves, 2023, Composite Structures
  • Global-local model for three-dimensional guided wave scattering with application to rail flaw detection, 2021, Structural Health Monitoring
  • Robust non-destructive inspection of composite aerospace structures by extraction of ultrasonic guided-wave transfer function in single-input dual-output scanning systems, 2020, Journal of Intelligent Material Systems and Structures

Frequent co-authors of Francesco Lanza di Scalea include:

  • Chengyang Huang
  • Ali Zare Hosseinzadeh
  • Ranting Cui
  • Diptojit Datta
  • Margherita Capriotti

The scientist regularly publishes in venues such as:

  • Experimental Mechanics
  • Structural Health Monitoring
  • Composite Structures
  • IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • SSRN Electronic Journal

Francesco Lanza di Scalea has been recognized with the Hellman Fellow award twice, in 2000 and 2002.

Best Publications

  • Modeling wave propagation in damped waveguides of arbitrary cross-section

    Ivan Bartoli;Alessandro Marzani;Howard Matt;Francesco Lanza di Scalea

  • Performance assessment and validation of piezoelectric active-sensors in structural health monitoring

    Gyuhae Park;Charles R Farrar;Francesco Lanza di Scalea;Stefano Coccia

  • Stretchable ultrasonic transducer arrays for three-dimensional imaging on complex surfaces.

    Hongjie Hu;Xuan Zhu;Chonghe Wang;Lin Zhang

  • Modeling guided wave propagation with application to the long-range defect detection in railroad tracks

    Ivan Bartoli;Francesco Lanza di Scalea;Mahmood Fateh;Erasmo Viola

  • Temperature effects in ultrasonic Lamb wave structural health monitoring systems.

    Francesco Lanza di Scalea;Salvatore Salamone

  • STRESS MEASUREMENT AND DEFECT DETECTION IN STEEL STRANDS BY GUIDED STRESS WAVES

    Francesco Lanza di Scalea;Piervincenzo Rizzo;Frieder Seible

  • A semi-analytical finite element formulation for modeling stress wave propagation in axisymmetric damped waveguides

    Alessandro Marzani;Erasmo Viola;Ivan Bartoli;Francesco Lanza di Scalea

  • Macro-fiber composite piezoelectric rosettes for acoustic source location in complex structures

    Howard M Matt;Francesco Lanza di Scalea

  • Ultrasonic guided wave monitoring of composite wing skin-to-spar bonded joints in aerospace structures

    Howard Matt;Ivan Bartoli;Francesco Lanza di Scalea

  • On the existence of antisymmetric or symmetric Lamb waves at nonlinear higher harmonics

    Ankit Srivastava;Francesco Lanza di Scalea

  • Isogeometric Fatigue Damage Prediction in Large-Scale Composite Structures Driven by Dynamic Sensor Data

    Y. Bazilevs;X. Deng;A. Korobenko;F. Lanza di Scalea

  • The response of rectangular piezoelectric sensors to Rayleigh and Lamb ultrasonic waves

    Francesco Lanza di Scalea;Howard Matt;Ivan Bartoli

  • Propagation of ultrasonic guided waves in lap-shear adhesive joints: case of incident a0 Lamb wave.

    Francesco Lanza di Scalea;Piervincenzo Rizzo;Alessandro Marzani

  • Non-contact ultrasonic inspection of rails and signal processing for automatic defect detection and classification

    F. Lanza Di Scalea;P. Rizzo;S. Coccia;I. Bartoli

  • Wavelet-based outlier analysis for guided wave structural monitoring: Application to multi-wire strands

    Piervincenzo Rizzo;Elisa Sorrivi;Elisa Sorrivi;Francesco Lanza di Scalea;Erasmo Viola

  • Numerical and experimental study of guided waves for detection of defects in the rail head

    Stefano Coccia;Ivan Bartoli;Alessandro Marzani;Francesco Lanza di Scalea

  • Ultrasonic inspection of multi-wire steel strands with the aid of the wavelet transform

    Piervincenzo Rizzo;Francesco Lanza di Scalea

  • Structural health monitoring by extraction of coherent guided waves from diffuse fields.

    Karim G. Sabra;Ankit Srivastava;Francesco Lanza di Scalea;Ivan Bartoli

  • Feature Extraction for Defect Detection in Strands by Guided Ultrasonic Waves

    Piervincenzo Rizzo;Francesco Lanza di Scalea

  • Guided-wave Health Monitoring of Aircraft Composite Panels under Changing Temperature

    Salvatore Salamone;Ivan Bartoli;Francesco Lanza Di Scalea;Stefano Coccia

  • Defect Classification in Pipes by Neural Networks Using Multiple Guided Ultrasonic Wave Features Extracted After Wavelet Processing

    Piervincenzo Rizzo;Ivan Bartoli;Alessandro Marzani;Francesco Lanza di Scalea

  • Stretchable Ultrasonic Transducer Arrays for Three-Dimensional Imaging on Complex Surfaces

    Xuan Zhu;Hongjie Hu;Simone Sternini;Sheng Xu

Frequent Co-Authors

Alessandro Marzani
Alessandro Marzani University of Bologna
Erasmo Viola
Erasmo Viola University of Bologna
Charles R. Farrar
Charles R. Farrar Los Alamos National Laboratory
Vistasp M. Karbhari
Vistasp M. Karbhari The University of Texas at Arlington
Gyuhae Park
Gyuhae Park Chonnam National University
Frieder Seible
Frieder Seible University of California, San Diego
Hoon Sohn
Hoon Sohn Korea Advanced Institute of Science and Technology
Michael D. Todd
Michael D. Todd University of California, San Diego
Wieslaw J. Staszewski
Wieslaw J. Staszewski AGH University of Science and Technology
Sheng Xu
Sheng Xu University of California, San Diego

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