Peter Huthwaite

1.8k total citations
77 papers, 1.4k citations indexed

About

Peter Huthwaite is a scholar working on Mechanics of Materials, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Peter Huthwaite has authored 77 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Mechanics of Materials, 38 papers in Ocean Engineering and 32 papers in Mechanical Engineering. Recurrent topics in Peter Huthwaite's work include Ultrasonics and Acoustic Wave Propagation (51 papers), Geophysical Methods and Applications (37 papers) and Non-Destructive Testing Techniques (32 papers). Peter Huthwaite is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (51 papers), Geophysical Methods and Applications (37 papers) and Non-Destructive Testing Techniques (32 papers). Peter Huthwaite collaborates with scholars based in United Kingdom, United States and Germany. Peter Huthwaite's co-authors include M. J. S. Lowe, F. Simonetti, Tim Barden, P. Cawley, Ming Huang, R. Ribichini, Gaofeng Sha, S. I. Rokhlin, Péter B. Nagy and Fan Shi and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Image Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Peter Huthwaite

75 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Huthwaite United Kingdom 21 1.0k 622 589 325 226 77 1.4k
Xiongbing Li China 17 848 0.8× 220 0.4× 626 1.1× 54 0.2× 202 0.9× 134 1.1k
Parisa Shokouhi United States 22 764 0.8× 555 0.9× 387 0.7× 527 1.6× 140 0.6× 123 1.5k
Igor Solodov Germany 26 2.2k 2.2× 576 0.9× 1.0k 1.7× 109 0.3× 471 2.1× 82 2.5k
Tadeusz Stepinski Sweden 23 1.2k 1.2× 364 0.6× 613 1.0× 55 0.2× 538 2.4× 136 1.6k
Jamal Assaad France 17 785 0.8× 190 0.3× 273 0.5× 93 0.3× 341 1.5× 78 991
Bogdan Piwakowski France 17 440 0.4× 286 0.5× 126 0.2× 169 0.5× 206 0.9× 55 739
Pierre Calmon France 17 482 0.5× 245 0.4× 369 0.6× 31 0.1× 187 0.8× 74 792
K. J. Langenberg Germany 15 635 0.6× 510 0.8× 272 0.5× 198 0.6× 261 1.2× 43 930
Jorge Camacho Spain 18 743 0.7× 254 0.4× 289 0.5× 46 0.1× 526 2.3× 65 1.1k
Tomasz Chady Poland 16 495 0.5× 139 0.2× 569 1.0× 42 0.1× 80 0.4× 120 968

Countries citing papers authored by Peter Huthwaite

Since Specialization
Citations

This map shows the geographic impact of Peter Huthwaite'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 Peter Huthwaite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Huthwaite more than expected).

Fields of papers citing papers by Peter Huthwaite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Huthwaite. 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 Peter Huthwaite. The network helps show where Peter Huthwaite may publish in the future.

Co-authorship network of co-authors of Peter Huthwaite

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Huthwaite. A scholar is included among the top collaborators of Peter Huthwaite 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 Peter Huthwaite. Peter Huthwaite 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.
Jones, Robin M., et al.. (2025). Efficient generation of realistic guided wave signals for reliability estimation. Structural Health Monitoring. 25(2). 1353–1375. 1 indexed citations
2.
3.
Jones, Robin M., et al.. (2025). A digital twin-based framework for reliability estimation in ultrasonic guided wave structural health monitoring systems with temperature variations. Mechanical Systems and Signal Processing. 235. 112848–112848. 1 indexed citations
4.
Huthwaite, Peter, et al.. (2024). Transfer learning in guided wave testing of pipes. Mechanical Systems and Signal Processing. 224. 112007–112007. 2 indexed citations
5.
Zuo, Peng & Peter Huthwaite. (2024). Guided wave tomography for quantitative thickness mapping using non-dispersive SH0 mode through geometrical full waveform inversion (GFWI). Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 480(2301). 3 indexed citations
6.
Bamber, Jeffrey C., et al.. (2024). Simulation of ultrasound backscatter coefficient measurement using the finite element method. Ultrasonics. 143. 107394–107394. 1 indexed citations
7.
Cann, Philippa, Marc Masen, Yannis Hardalupas, et al.. (2023). Destructive and non-destructive mechanical characterisation of chocolate with different levels of porosity under various modes of deformation. Journal of Materials Science. 58(11). 5104–5127. 3 indexed citations
8.
Lowe, M. J. S., et al.. (2022). Short Range Pipe Guided Wave Testing Using SH0 Plane Wave Imaging for Improved Quantification Accuracy. Sensors. 22(8). 2973–2973. 1 indexed citations
9.
Boughton, Oliver, et al.. (2021). Ultrasound and Bone Disease: A Systematic Review. 4(1). 3 indexed citations
10.
Hutchins, D.A., Peter Huthwaite, L.A.J. Davis, et al.. (2020). Mid Infrared Tomography of Polymer Pipes. Journal of Nondestructive Evaluation. 39(3).
11.
Zscherpel, Uwe, et al.. (2020). Radiographic film system classification and noise characterisation by a camera-based digitisation procedure. NDT & E International. 111. 102241–102241. 2 indexed citations
12.
Jones, Glenn & Peter Huthwaite. (2019). Fast binary CT using Fourier null space regularization (FNSR). Inverse Problems. 36(3). 35019–35019. 1 indexed citations
13.
Huthwaite, Peter, et al.. (2019). Realistic Film Noise Generation Based on Experimental Noise Spectra. IEEE Transactions on Image Processing. 29. 2987–2998. 3 indexed citations
14.
Huthwaite, Peter, et al.. (2018). Simulating the ultrasonic scattering from complex surface-breaking defects with a three-dimensional hybrid model. NDT & E International. 97. 32–41. 6 indexed citations
15.
Huthwaite, Peter. (2016). Improving accuracy through density correction in guided wave tomography. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 472(2186). 20150832–20150832. 17 indexed citations
16.
Huthwaite, Peter. (2016). Guided wave tomography with an improved scattering model. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 472(2195). 20160643–20160643. 32 indexed citations
17.
Huthwaite, Peter, et al.. (2013). A new regularization technique for limited-view sound-speed imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 60(3). 603–613. 26 indexed citations
18.
Huthwaite, Peter & F. Simonetti. (2013). High-resolution guided wave tomography. Wave Motion. 50(5). 979–993. 150 indexed citations
19.
Huthwaite, Peter, R. Ribichini, F. Simonetti, P. Cawley, & M. J. S. Lowe. (2013). High resolution guided wave tomography. AIP conference proceedings. 729–736. 6 indexed citations
20.
Huthwaite, Peter & F. Simonetti. (2012). Modeling the measurement of ultrasonic beams transmitted through a penetrable acoustic cone. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 59(10). 2292–2303. 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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