World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
72
Citations
15683
World Ranking
347
National Ranking
19

David Thompson 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 David Thompson 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: 457 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

David Thompson 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 David Thompson 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: 72 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

David Thompson is affiliated with the University of Southampton in the United Kingdom and specializes in Environmental Science. Their research primarily addresses subfields such as Global and Planetary Change, Atmospheric Science, Ecology, Artificial Intelligence, and Environmental Engineering.

The scientist has contributed significantly to topics including Atmospheric and Environmental Gas Dynamics, Atmospheric aerosols and clouds, Remote Sensing in Agriculture, Geochemistry and Geologic Mapping, Atmospheric chemistry and aerosols, Atmospheric Ozone and Climate, and Calibration and Measurement Techniques.

David Thompson's recent publications cover various aspects of environmental and atmospheric sciences. Among these are:

  • Airborne Visible/Infrared Imaging Spectrometer 3 (AVIRIS-3), 2022, 2022 IEEE Aerospace Conference (AERO)
  • NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms, 2021, Remote Sensing of Environment
  • Detecting forest response to droughts with global observations of vegetation water content, 2021, Global Change Biology
  • Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty, 2021, Atmospheric Chemistry and Physics
  • PIXL: Planetary Instrument for X-Ray Lithochemistry, 2020, Space Science Reviews

The frequent collaborators of David Thompson include Philip G. Brodrick, Charles E. Miller, Nimrod Carmon, Robert O. Green, and Kerry Cawse-Nicholson.

The main venues for their publications feature:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing of Environment
  • Journal of Geophysical Research Biogeosciences
  • Atmospheric Measurement Techniques
  • Remote Sensing

Best Publications

  • Railway Noise and Vibration: Mechanisms, Modelling and Means of Control

    David Thompson

  • Prediction of ground vibration from trains using the wavenumber finite and boundary element methods

    X. Sheng;C.J.C. Jones;D.J. Thompson

  • A theoretical model for ground vibration from trains generated by vertical track irregularities

    X. Sheng;C.J.C. Jones;D.J. Thompson

  • EXPERIMENTAL VALIDATION OF THE TWINS PREDICTION PROGRAM FOR ROLLING NOISE, PART 1: DESCRIPTION OF THE MODEL AND METHOD

    D.J. Thompson;B. Hemsworth;N. Vincent

  • A REVIEW OF THE MODELLING OF WHEEL/RAIL NOISE GENERATION

    D.J. Thompson;C.J.C. Jones

  • A comparison of a theoretical model for quasi-statically and dynamically induced environmental vibration from trains with measurements

    X. Sheng;C.J.C. Jones;D.J. Thompson

  • The quantification of structure-borne transmission paths by inverse methods. Part 1: Improved singular value rejection methods

    A.N. Thite;D.J. Thompson

  • A theoretical study on the influence of the track on train-induced ground vibration

    X. Sheng;C.J.C. Jones;D.J. Thompson

  • Modelling ground vibration from railways using wavenumber finite- and boundary-element methods

    X Sheng;C.J.C Jones;D.J Thompson

  • A hybrid model for the noise generation due to railway wheel flats

    T.X Wu;D.J Thompson

  • Comparison of methods for parameter selection in Tikhonov regularization with application to inverse force determination

    Hyoung Gil Choi;Anand N. Thite;David J. Thompson

  • The Quantification of Structure-Borne Transmission Paths by Inverse Methods - Part 2: Use of Regularization Techniques

    A.N. Thite;D.J. Thompson

  • Response of beams on nonlinear viscoelastic foundations to harmonic moving loads

    M. H. Kargarnovin;D. Younesian;D. J. Thompson;C. J. C. Jones

  • Railway Noise and Vibration

    David Thompson

  • Recent developments in the prediction and control of aerodynamic noise from high-speed trains

    David J. Thompson;Eduardo Latorre Iglesias;Xiaowan Liu;Jianyue Zhu

  • Wheel-rail Noise Generation, Part I: Introduction And Interaction Model

    D.J. Thompson

  • Modelling, simulation and evaluation of ground vibration caused by rail vehicles

    David J. Thompson;Georges Kouroussis;Evangelos Ntotsios

  • Ground-Borne Vibration due to Railway Traffic: A Review of Excitation Mechanisms, Prediction Methods and Mitigation Measures

    G. Lombaert;G. Degrande;S. François;D. J. Thompson

  • Fundamentals of Rail Vehicle Dynamics: Guidance and Stability

    D J Thompson

  • A tuned damping device for reducing noise from railway track

    D.J. Thompson;C.J.C. Jones;T.P. Waters;D. Farrington

  • Responses of infinite periodic structures to moving or stationary harmonic loads

    X. Sheng;C.J.C. Jones;D.J. Thompson

Frequent Co-Authors

C.J.C. Jones
C.J.C. Jones Aecom (United Kingdom)
William Powrie
William Powrie University of Southampton
Michael J. Brennan
Michael J. Brennan Sao Paulo State University
Paul R. White
Paul R. White University of Southampton
Robert B. Randall
Robert B. Randall University of New South Wales
Davood Younesian
Davood Younesian Iran University of Science and Technology
Jérôme Antoni
Jérôme Antoni Institut National des Sciences Appliquées de Lyon
Simon Iwnicki
Simon Iwnicki University of Huddersfield

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