R.S. Langley

6.5k total citations
236 papers, 5.0k citations indexed

About

R.S. Langley is a scholar working on Civil and Structural Engineering, Biomedical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, R.S. Langley has authored 236 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Civil and Structural Engineering, 87 papers in Biomedical Engineering and 59 papers in Statistics, Probability and Uncertainty. Recurrent topics in R.S. Langley's work include Structural Health Monitoring Techniques (92 papers), Acoustic Wave Phenomena Research (87 papers) and Probabilistic and Robust Engineering Design (59 papers). R.S. Langley is often cited by papers focused on Structural Health Monitoring Techniques (92 papers), Acoustic Wave Phenomena Research (87 papers) and Probabilistic and Robust Engineering Design (59 papers). R.S. Langley collaborates with scholars based in United Kingdom, United States and Belgium. R.S. Langley's co-authors include Philip J. Shorter, Vincent Cotoni, N.S. Bardell, J.M. Dunsdon, Ying Min Low, Paul Bremner, J. Woodhouse, K. H. Heron, Alice Cicirello and A.N. Berçin and has published in prestigious journals such as Biomaterials, IEEE Transactions on Information Theory and The Journal of the Acoustical Society of America.

In The Last Decade

R.S. Langley

229 papers receiving 4.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R.S. Langley United Kingdom 39 2.6k 2.4k 1.3k 936 857 236 5.0k
J. Woodhouse United Kingdom 37 1.7k 0.7× 1.6k 0.7× 1.1k 0.8× 396 0.4× 663 0.8× 171 5.3k
Steffen Marburg Germany 34 2.2k 0.9× 1.5k 0.6× 1.4k 1.1× 570 0.6× 330 0.4× 281 4.3k
Mohamed Ichchou France 34 2.5k 0.9× 1.7k 0.7× 1.6k 1.2× 276 0.3× 581 0.7× 230 3.9k
Christian Soize France 45 1.1k 0.4× 4.0k 1.7× 1.5k 1.2× 4.2k 4.5× 881 1.0× 272 7.3k
S. Narayanan India 35 674 0.3× 1.7k 0.7× 929 0.7× 388 0.4× 807 0.9× 157 3.7k
Daniel J. Rixen Germany 36 912 0.4× 2.5k 1.0× 1.3k 1.0× 482 0.5× 1.3k 1.5× 240 5.5k
Lothar Gaul Germany 33 643 0.2× 2.2k 0.9× 2.0k 1.6× 267 0.3× 1.0k 1.2× 151 4.6k
Patrick Guillaume Belgium 42 661 0.3× 4.8k 2.0× 1.5k 1.2× 1.0k 1.1× 2.2k 2.6× 359 7.6k
Gaëtan Kerschen Belgium 42 862 0.3× 6.5k 2.7× 1.0k 0.8× 949 1.0× 2.6k 3.0× 214 8.4k
Simon A. Neild United Kingdom 46 713 0.3× 4.6k 1.9× 943 0.7× 276 0.3× 1.8k 2.1× 298 7.0k

Countries citing papers authored by R.S. Langley

Since Specialization
Citations

This map shows the geographic impact of R.S. Langley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by R.S. Langley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.S. Langley more than expected).

Fields of papers citing papers by R.S. Langley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.S. Langley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by R.S. Langley. The network helps show where R.S. Langley may publish in the future.

Co-authorship network of co-authors of R.S. Langley

This figure shows the co-authorship network connecting the top 25 collaborators of R.S. Langley. A scholar is included among the top collaborators of R.S. Langley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R.S. Langley. R.S. Langley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Legault, Julien, et al.. (2016). A new generalized approach to Statistical Energy Analysis (SEA). Cambridge University Engineering Department Publications Database. 1 indexed citations
2.
Langley, R.S., et al.. (2014). Modelling the shock induced failure of printed circuit boards. Cambridge University Engineering Department Publications Database. 2 indexed citations
3.
Langley, R.S., et al.. (2013). Efficient statistical electromagnetic analysis in reverberant environments. Cambridge University Engineering Department Publications Database.
4.
Cicirello, Alice & R.S. Langley. (2012). Reliability analysis of complex built-up structures via the hybrid FE-SEA method. Cambridge University Engineering Department Publications Database. 2 indexed citations
5.
Cicirello, Alice & R.S. Langley. (2011). Combining parametric and non-parametric uncertainty modeling for the vibro-acoustic analysis of random built-up structures. Cambridge University Engineering Department Publications Database. 1 indexed citations
6.
Cicirello, Alice & R.S. Langley. (2010). The analysis of random systems with combined parametric and non-parametric uncertainty models. Cambridge University Engineering Department Publications Database. 2 indexed citations
7.
Langley, R.S., et al.. (2006). Prediction of the ensemble mean and variance of the response of uncertain structures using the Hybrid FESEA method. Cambridge University Engineering Department Publications Database. 2 indexed citations
8.
Langley, R.S., et al.. (2005). Predicting the response statistics of uncertain structures using extended versions of SEA. Cambridge University Engineering Department Publications Database. 2 indexed citations
9.
Langley, R.S., et al.. (2005). Hybrid deterministic-statistical modelling of built-up structures. Cambridge University Engineering Department Publications Database.
10.
Langley, R.S.. (2005). Natural frequency statistics and universality. Cambridge University Engineering Department Publications Database. 1 indexed citations
11.
Langley, R.S., et al.. (2005). Modeling structure-borne noise with the hybrid FE-SEA method. Cambridge University Engineering Department Publications Database. 4 indexed citations
12.
Langley, R.S., et al.. (2005). A hybrid FE-SEA method for the analysis of complex vibro-acoustic systems. Cambridge University Engineering Department Publications Database. 9 indexed citations
13.
Langley, R.S.. (2004). Mid and high-frequency vibration analysis of structures with uncertain properties. Cambridge University Engineering Department Publications Database. 6 indexed citations
14.
Cotoni, Vincent, et al.. (2004). Numerical and experimental validation of hybrid FE-SEA method. Cambridge University Engineering Department Publications Database. 4 indexed citations
15.
Langley, R.S., et al.. (2002). On predicting the response of acoustically-excited doubly curved sandwich panels. ePrints Soton (University of Southampton). 1 indexed citations
16.
Langley, R.S., et al.. (2001). Nonlinear dynamics of deep-water moorings. Cambridge University Engineering Department Publications Database. 5 indexed citations
17.
Langley, R.S., et al.. (2000). The spatial correlation of vibrational wavefields and their application to mid-frequency structural-acoustics. Cambridge University Engineering Department Publications Database. 2 indexed citations
18.
Langley, R.S.. (2000). SEA: current and future research needs. Cambridge University Engineering Department Publications Database. 3 indexed citations
19.
Langley, R.S.. (1994). An introduction to statistical energy analysis. Cambridge University Engineering Department Publications Database. 4 indexed citations
20.
Bardell, N.S. & R.S. Langley. (1994). Some observations on the form of the phase constant surfaces of a periodic skew plate. Cambridge University Engineering Department Publications Database. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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