J.M. Muggleton

2.8k total citations
72 papers, 1.9k citations indexed

About

J.M. Muggleton is a scholar working on Ocean Engineering, Civil and Structural Engineering and Geophysics. According to data from OpenAlex, J.M. Muggleton has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Ocean Engineering, 45 papers in Civil and Structural Engineering and 22 papers in Geophysics. Recurrent topics in J.M. Muggleton's work include Geophysical Methods and Applications (45 papers), Water Systems and Optimization (33 papers) and Geotechnical Engineering and Underground Structures (25 papers). J.M. Muggleton is often cited by papers focused on Geophysical Methods and Applications (45 papers), Water Systems and Optimization (33 papers) and Geotechnical Engineering and Underground Structures (25 papers). J.M. Muggleton collaborates with scholars based in United Kingdom, China and Brazil. J.M. Muggleton's co-authors include M.J. Brennan, Yan Gao, Phillip F. Joseph, Robert Allen, Emiliano Rustighi, Fiona E. Mellor, Alan Breen, Osama Hunaidi, R.J. Pinnington and P.H. Chappell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Spine and Sensors.

In The Last Decade

J.M. Muggleton

67 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.M. Muggleton United Kingdom 24 1.2k 894 357 243 241 72 1.9k
Dryver R. Huston United States 22 658 0.6× 500 0.6× 220 0.6× 141 0.6× 205 0.9× 206 1.9k
Stavros K. Kourkoulis Greece 31 777 0.7× 484 0.5× 1.1k 3.1× 373 1.5× 624 2.6× 192 2.6k
Ignacio Carol Spain 36 2.4k 2.0× 260 0.3× 2.4k 6.6× 79 0.3× 387 1.6× 111 3.8k
Reint de Boer Germany 23 665 0.6× 232 0.3× 971 2.7× 254 1.0× 383 1.6× 60 2.1k
Songfeng Guo China 24 435 0.4× 196 0.2× 626 1.8× 84 0.3× 143 0.6× 87 1.5k
Jorge C. Pais Portugal 25 1.6k 1.4× 375 0.4× 120 0.3× 164 0.7× 337 1.4× 159 2.1k
Dimitrios G. Aggelis Belgium 38 2.9k 2.5× 2.0k 2.2× 3.2k 8.8× 465 1.9× 842 3.5× 176 5.2k
A. Zieliński Canada 17 375 0.3× 233 0.3× 118 0.3× 41 0.2× 37 0.2× 102 975
Vincent Denoël Belgium 17 517 0.4× 194 0.2× 138 0.4× 7 0.0× 245 1.0× 142 1.1k
Karen M. Holford United Kingdom 25 1.2k 1.0× 657 0.7× 1.6k 4.5× 116 0.5× 774 3.2× 112 2.3k

Countries citing papers authored by J.M. Muggleton

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Muggleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Muggleton. 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 J.M. Muggleton. The network helps show where J.M. Muggleton may publish in the future.

Co-authorship network of co-authors of J.M. Muggleton

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Muggleton. A scholar is included among the top collaborators of J.M. Muggleton 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 J.M. Muggleton. J.M. Muggleton 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.
Muggleton, J.M., et al.. (2025). Cepstral method for time delay estimation in acoustic leak detection. Mechanical Systems and Signal Processing. 241. 113448–113448.
2.
Cui, Xiwang, et al.. (2024). Superimposed imaging of acoustic wave reflections for the detection of underground nonmetallic pipelines. Mechanical Systems and Signal Processing. 209. 111127–111127. 5 indexed citations
3.
Muggleton, J.M., et al.. (2024). Assessing the quality of the time delay estimate in acoustic leak localisation. Journal of Sound and Vibration. 597. 118811–118811. 1 indexed citations
4.
Brennan, M.J., Fabrício Almeida, Mahmoud Karimi, et al.. (2023). Analysis of phase data from ground vibration measurements above a leaking plastic water pipe. Journal of Sound and Vibration. 564. 117873–117873. 4 indexed citations
5.
6.
Bilal, Muhammad, Wasiq Khan, J.M. Muggleton, et al.. (2018). Inferring the most probable maps of underground utilities using Bayesian mapping model. Journal of Applied Geophysics. 150. 52–66. 20 indexed citations
7.
Muggleton, J.M. & Emiliano Rustighi. (2016). A novel method for the remote condition assessment of buried pipelines using low-frequency axisymmetric waves. Journal of Physics Conference Series. 744. 12056–12056. 6 indexed citations
8.
Muggleton, J.M. & M.J. Brennan. (2012). The use of acoustics in the water industry. ePrints Soton (University of Southampton). 3 indexed citations
9.
Muggleton, J.M., et al.. (2012). Wavenumber prediction and measurement of axisymmetric waves in buried fluid-filled pipes: Inclusion of shear coupling at a lubricated pipe/soil interface. Journal of Sound and Vibration. 332(5). 1216–1230. 52 indexed citations
10.
Muggleton, J.M. & M.J. Brennan. (2010). An assessment of laser vibrometry for the measurement of ground vibration. ePrints Soton (University of Southampton). 2 indexed citations
11.
Rogers, C. D. F., P.R. Atkins, M.J. Brennan, et al.. (2010). Mapping the Underworld: Location Phase II - Latest Developments. ePrints Soton (University of Southampton). 6 indexed citations
12.
Muggleton, J.M.. (2010). Mapping the underworld multi-sensor device creation, assessment, protocols: Acoustic technologies advancement to support multi-sensor device. An assessment of the use of a scanning laser to measure ground vibration. ePrints Soton (University of Southampton).
13.
Gao, Yongfeng, et al.. (2006). Person recognition by measuring the ground reaction force due to a footstep. ePrints Soton (University of Southampton). 4 indexed citations
14.
Muggleton, J.M. & M.J. Brennan. (2006). The use of acoustic methods to detect and locate underground piping systems. ePrints Soton (University of Southampton). 7 indexed citations
15.
Brennan, M.J., et al.. (2006). The use of acoustic methods to detect water leaks in buried water pipes. ePrints Soton (University of Southampton). 9 indexed citations
16.
Brennan, M.J., et al.. (2006). Proceedings of the Ninth International Conference on Recent Advances in Structural Dynamics. 1 indexed citations
17.
Muggleton, J.M., T.P. Waters, & B.R. Mace. (2006). Determining the dynamic properties of joints in piping systems. ePrints Soton (University of Southampton). 1 indexed citations
18.
Muggleton, J.M., T.P. Waters, & B.R. Mace. (2006). Measuring the reflection and transmission coefficients of joints in piping systems. ePrints Soton (University of Southampton). 1 indexed citations
19.
Breen, Alexander, et al.. (2002). Lumbar spine motion palpation compared with objective interverteral motion analysis: preliminary findings. ePrints Soton (University of Southampton). 1 indexed citations
20.
Muggleton, J.M., M.J. Brennan, & R.J. Pinnington. (2000). Wavenumber prediction of waves in buried plastic pipes for water leak detection. ePrints Soton (University of Southampton). 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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