World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
47
Citations
8645
World Ranking
1360
National Ranking
91

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

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
Stephen J. Elliott
Stephen J. Elliott University of Southampton
Tian Jian Lu
Tian Jian Lu Nanjing University of Aeronautics and Astronautics

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