World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
47
Citations
8645
World Ranking
1361
National Ranking
91

Robin S. Langley 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 Robin S. Langley 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: 336 publications — 79th percentile

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

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

Robin S. Langley 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 Robin S. Langley 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: 47 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Statistics
  • Mathematical analysis

His primary scientific interests are in Statistical energy analysis, Vibration, Mathematical analysis, Finite element method and Structural acoustics. His Statistical energy analysis study incorporates themes from Power, Complex system, Statistical physics and Fuzzy logic. His studies deal with areas such as Modal, Geometry, Energy, Fourier series and Equations of motion as well as Vibration.

Robin S. Langley has included themes like Field, Probability density function, Classical mechanics and Random vibration in his Mathematical analysis study. Finite element method is a subfield of Structural engineering that he explores. His work in Structural acoustics covers topics such as Reciprocity which are related to areas like Acoustic impedance and Radiation impedance.

His most cited work include:

  • Vibro-acoustic analysis of complex systems (260 citations)
  • A hybrid method for the vibration analysis of complex structural-acoustic systems (176 citations)
  • On the reciprocity relationship between direct field radiation and diffuse reverberant loading. (162 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Vibration, Statistical energy analysis, Mathematical analysis, Finite element method and Statistical physics. Robin S. Langley combines subjects such as Control theory, Structural engineering, Excitation, Point and Equations of motion with his study of Vibration. His work deals with themes such as Mechanics and Numerical analysis, which intersect with Structural engineering.

His studies in Statistical energy analysis integrate themes in fields like Reciprocity, Energy and Complex system. As part of one scientific family, he deals mainly with the area of Mathematical analysis, narrowing it down to issues related to the Nonlinear system, and often Frequency domain. His Statistical physics research includes elements of Gaussian and Monte Carlo method.

He most often published in these fields:

  • Vibration (24.46%)
  • Statistical energy analysis (21.10%)
  • Mathematical analysis (18.65%)

What were the highlights of his more recent work (between 2013-2021)?

  • Statistical energy analysis (21.10%)
  • Statistical physics (14.68%)
  • Nonlinear system (9.48%)

In recent papers he was focusing on the following fields of study:

His main research concerns Statistical energy analysis, Statistical physics, Nonlinear system, Mathematical analysis and Acoustics. Finite element method and Vibration are the main topics of his Statistical energy analysis study. His work is dedicated to discovering how Vibration, Parametric statistics are connected with Probability distribution and other disciplines.

His Statistical physics research is multidisciplinary, incorporating elements of Measure, Frequency response, Mathematical optimization, Gaussian and Monte Carlo method. The concepts of his Nonlinear system study are interwoven with issues in Linear system, Equations of motion and Frequency domain. The Mathematical analysis study combines topics in areas such as Power, Mechanical system, Inhomogeneous electromagnetic wave equation, Classical mechanics and White noise.

Between 2013 and 2021, his most popular works were:

  • Nonlinear damping and quasi-linear modelling. (52 citations)
  • A general mass law for broadband energy harvesting (33 citations)
  • Efficient parametric uncertainty analysis within the hybrid Finite Element/Statistical Energy Analysis method (29 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Statistics
  • Mathematical analysis

Robin S. Langley mainly focuses on Statistical energy analysis, Nonlinear system, Finite element method, Statistical physics and Mathematical analysis. His Statistical energy analysis study necessitates a more in-depth grasp of Acoustics. His Nonlinear system study integrates concerns from other disciplines, such as Vibration, Equations of motion, Classical mechanics and White noise.

His study in Vibration is interdisciplinary in nature, drawing from both Wavelength, Vibrational energy and Mechanics. His biological study spans a wide range of topics, including Parametric statistics, Soundproofing, Sound transmission class, Boundary value problem and Stiffness. Robin S. Langley has researched Mathematical analysis in several fields, including Power, Acceleration and Spectral density.

Best Publications

  • Vibro-acoustic analysis of complex systems

    P.J. Shorter;R.S. Langley

  • On the reciprocity relationship between direct field radiation and diffuse reverberant loading.

    P. J. Shorter;R. S. Langley

  • A hybrid method for the vibration analysis of complex structural-acoustic systems

    R. S. Langley;P. Bremner

  • Sound transmission through lightweight double-leaf partitions: theoretical modelling

    Jian Wang;T.J. Lu;J. Woodhouse;R.S. Langley

  • Elastic wave transmission through plate/beam junctions

    R.S. Langley;K.H. Heron

  • Numerical and experimental validation of a hybrid finite element-statistical energy analysis method

    Vincent Cotoni;Phil Shorter;Robin Langley

  • A statistical energy analysis subsystem formulation using finite element and periodic structure theory

    V. Cotoni;R.S. Langley;P.J. Shorter

  • Response variance prediction in the statistical energy analysis of built-up systems.

    Robin S. Langley;Vincent Cotoni

  • A wave intensity technique for the analysis of high frequency vibrations

    R.S. Langley

  • THE RESPONSE OF TWO-DIMENSIONAL PERIODIC STRUCTURES TO POINT HARMONIC FORCING

    R.S. Langley

  • Time and frequency domain coupled analysis of deepwater floating production systems

    Y.M. Low;R.S. Langley

  • A finite element method for the statistics of non-linear random vibration

    R.S. Langley

  • Response variance prediction for uncertain vibro-acoustic systems using a hybrid deterministic-statistical method.

    R. S. Langley;V. Cotoni

  • Hybrid deterministic-statistical analysis of vibro-acoustic systems with domain couplings on statistical components

    Robin S. Langley;Julio A. Cordioli

  • A general derivation of the statistical energy analysis equations for coupled dynamic systems

    R.S. Langley

  • The response of two-dimensional periodic structures to harmonic point loading : A theoretical and experimental study of a beam grillage

    R.S. Langley;N.S. Bardell;H.M. Ruivo

  • UNIFIED APPROACH TO PROBABILISTIC AND POSSIBILISTIC ANALYSIS OF UNCERTAIN SYSTEMS

    R. S. Langley

  • On the vibrational conductivity approach to high frequency dynamics for two-dimensional structural components

    R.S. Langley

  • The ensemble statistics of the energy of a random system subjected to harmonic excitation

    R.S. Langley;A.W.M. Brown

  • Nonlinear damping and quasi-linear modelling.

    S. J. Elliott;M. Ghandchi Tehrani;R. S. Langley

  • Numerical and experimental validation of a hybrid finite element - statistical energy analysis method for the harmonic analysis of structure-borne noise

    Cotoni;PJ Shorter;RS Langley

Frequent Co-Authors

Guglielmo S. Aglietti
Guglielmo S. Aglietti University of Auckland
Eric Rogers
Eric Rogers University of Southampton
Jim Woodhouse
Jim Woodhouse University of Cambridge
Jakob Stoustrup
Jakob Stoustrup Aalborg University
Andy J. Keane
Andy J. Keane University of Southampton
Tuomas P. J. Knowles
Tuomas P. J. Knowles University of Cambridge
Ashwin A. Seshia
Ashwin A. Seshia University of Cambridge
Tian Jian Lu
Tian Jian Lu Nanjing University of Aeronautics and Astronautics

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