World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
32
Citations
5426
World Ranking
3122
National Ranking
105

Wade A. Smith 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 Wade A. Smith 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: 85 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Wade A. Smith 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 Wade A. Smith 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: 32 D-Index — 10th percentile

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

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

Overview

Wade A. Smith is affiliated with the University of New South Wales in Australia and has contributed extensively to the field of engineering, focusing primarily on mechanical engineering and its intersections with control and systems engineering, civil and structural engineering, mechanics of materials, and computer vision and pattern recognition.

Their research work addresses several core topics including:

  • Gear and Bearing Dynamics Analysis
  • Machine Fault Diagnosis Techniques
  • Structural Health Monitoring Techniques
  • Advanced machining processes and optimization
  • Tribology and Lubrication Engineering
  • Lubricants and Their Additives
  • Advanced Measurement and Metrology Techniques

Smith has a notable publication record in the journal Mechanical Systems and Signal Processing, contributing 19 papers to that venue alone. Other frequent publication venues include the Journal of Dynamics Monitoring and Diagnostics, Engineering Failure Analysis, Mechanism and Machine Theory, and Wear.

Among recent papers authored by or co-authored with Smith are:

  • "Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions" (2020, Mechanical Systems and Signal Processing)
  • "Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution" (2020, Mechanical Systems and Signal Processing)
  • "Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process" (2021, Mechanical Systems and Signal Processing)
  • "Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence" (2020, Mechanical Systems and Signal Processing)
  • "Bearing signal models and their effect on bearing diagnostics" (2022, Mechanical Systems and Signal Processing)

Smith has collaborated frequently with several co-authors, including:

  • Robert B. Randall
  • Zhongxiao Peng
  • Pietro Borghesani
  • Jérôme Antoni
  • Konstantinos Gryllias

The bulk of Smith's work revolves around improving diagnostic and monitoring techniques for mechanical components such as gears and bearings. Their research includes advanced signal processing methods for vibration analysis, fault diagnosis, and the effects of electromagnetic interference on bearing diagnostics.

Best Publications

  • Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

    Wade A. Smith;Robert B. Randall

  • Hydraulically interconnected vehicle suspension: background and modelling

    Nong Zhang;Wade A. Smith;Jeku Jeyakumaran

  • Advanced bearing diagnostics: A comparative study of two powerful approaches

    D. Abboud;M. Elbadaoui;W.A. Smith;R.B. Randall

  • Vibration-based updating of wear prediction for spur gears

    Ke Feng;Pietro Borghesani;Wade A. Smith;Robert B. Randall

  • Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools

    Wade A. Smith;Pietro Borghesani;Qing Ni;Kesheng Wang

  • Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions

    Alexandre Mauricio;Wade A. Smith;Robert B. Randall;Jerome Antoni

  • Development of a gear vibration indicator and its application in gear wear monitoring

    Chongqing Hu;Wade A. Smith;Robert B. Randall;Zhongxiao Peng

  • Hydraulically interconnected vehicle suspension: handling performance

    Wade A. Smith;Nong Zhang;William Hu

  • Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution

    Ke Feng;Wade A. Smith;Pietro Borghesani;Robert B. Randall

  • Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process

    Ke Feng;Wade A. Smith;Robert B. Randall;Hongkun Wu

  • Optimised Spectral Kurtosis for bearing diagnostics under electromagnetic interference

    Wade A. Smith;Zhiqi Fan;Zhongxiao Peng;Huaizhong Li

  • Hydraulically interconnected vehicle suspension: theoretical and experimental ride analysis

    Wade A. Smith;Nong Zhang;Jeku Jeyakumaran

  • Bearing signal models and their effect on bearing diagnostics

    Unknown

  • Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks

    Ulrike Dackermann;Wade A Smith;Robert B Randall

  • Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence

    Alexandre Mauricio;Junyu Qi;Wade A. Smith;Mathieu Sarazin

  • Application of surface replication combined with image analysis to investigate wear evolution on gear teeth – A case study

    Haichuan Chang;Pietro Borghesani;Wade A. Smith;Zhongxiao Peng

  • A survey of the application of the cepstrum to structural modal analysis

    R.B. Randall;J. Antoni;W.A. Smith

  • Use of an improved vibration-based updating methodology for gear wear prediction

    Ke Feng;Wade A. Smith;Zhongxiao Peng

  • Comprehensive planet gear diagnostics: Use of transmission error and mesh phasing to distinguish localised fault types and identify faulty gears

    Dikang Peng;Wade A. Smith;Pietro Borghesani;Robert B. Randall

  • Use of mesh phasing to locate faulty planet gears

    Dikang Peng;Wade A. Smith;Robert B. Randall;Zhongxiao Peng

  • Absolute transmission error: A simple new tool for assessing gear wear

    Zhan Yie Chin;Wade A. Smith;Pietro Borghesani;Robert B. Randall

Frequent Co-Authors

Robert B. Randall
Robert B. Randall University of New South Wales
Zhongxiao Peng
Zhongxiao Peng University of New South Wales
Nong Zhang
Nong Zhang University of Technology Sydney
Jérôme Antoni
Jérôme Antoni Institut National des Sciences Appliquées de Lyon
Jianchun Li
Jianchun Li University of Technology Sydney
Huaizhong Li
Huaizhong Li Griffith University
Haiping Du
Haiping Du University of Wollongong
Chris K. Mechefske
Chris K. Mechefske Queen's University

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