H.E.M. Hunt

2.7k total citations
74 papers, 2.0k citations indexed

About

H.E.M. Hunt is a scholar working on Mechanical Engineering, Civil and Structural Engineering and General Engineering. According to data from OpenAlex, H.E.M. Hunt has authored 74 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Mechanical Engineering, 48 papers in Civil and Structural Engineering and 33 papers in General Engineering. Recurrent topics in H.E.M. Hunt's work include Railway Engineering and Dynamics (52 papers), Geotechnical Engineering and Underground Structures (33 papers) and Civil and Geotechnical Engineering Research (33 papers). H.E.M. Hunt is often cited by papers focused on Railway Engineering and Dynamics (52 papers), Geotechnical Engineering and Underground Structures (33 papers) and Civil and Geotechnical Engineering Research (33 papers). H.E.M. Hunt collaborates with scholars based in United Kingdom, South Sudan and Belgium. H.E.M. Hunt's co-authors include M.F.M. Hussein, James A. Forrest, Kirsty Kuo, J.P. Talbot, Simon Jones, Geert Degrande, Sharad K. Jain, J. H. Brackenbury, Tshilidzi Marwala and Shashank Gupta and has published in prestigious journals such as Journal of Sound and Vibration, Mechanical Systems and Signal Processing and American Journal of Physics.

In The Last Decade

H.E.M. Hunt

68 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
H.E.M. Hunt United Kingdom 25 1.6k 1.5k 906 199 160 74 2.0k
Lars Vabbersgaard Andersen Denmark 27 782 0.5× 1.8k 1.2× 257 0.3× 259 1.3× 409 2.6× 152 2.5k
Mats Berg Sweden 27 1.7k 1.1× 696 0.5× 263 0.3× 27 0.1× 722 4.5× 86 2.7k
Christian Madshus Norway 15 645 0.4× 757 0.5× 361 0.4× 38 0.2× 77 0.5× 40 1.1k
L. Godinho Portugal 23 486 0.3× 627 0.4× 104 0.1× 52 0.3× 475 3.0× 152 1.7k
Denis Duhamel France 21 734 0.5× 947 0.6× 136 0.2× 16 0.1× 549 3.4× 86 1.8k
P. Amado-Mendes Portugal 18 296 0.2× 346 0.2× 84 0.1× 29 0.1× 155 1.0× 66 833
Matthew J. DeJong United States 35 272 0.2× 3.0k 2.0× 18 0.0× 394 2.0× 283 1.8× 140 3.6k
Werner Hauger Germany 10 282 0.2× 681 0.5× 19 0.0× 44 0.2× 301 1.9× 67 1.2k
J.S. Owen United Kingdom 25 287 0.2× 844 0.6× 19 0.0× 15 0.1× 165 1.0× 78 1.5k
B.A. Izzuddin United Kingdom 37 300 0.2× 4.4k 3.0× 7 0.0× 394 2.0× 660 4.1× 200 4.8k

Countries citing papers authored by H.E.M. Hunt

Since Specialization
Citations

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

Fields of papers citing papers by H.E.M. Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.E.M. Hunt. 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 H.E.M. Hunt. The network helps show where H.E.M. Hunt may publish in the future.

Co-authorship network of co-authors of H.E.M. Hunt

This figure shows the co-authorship network connecting the top 25 collaborators of H.E.M. Hunt. A scholar is included among the top collaborators of H.E.M. Hunt 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 H.E.M. Hunt. H.E.M. Hunt 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.
MacMartin, Douglas G., et al.. (2020). An update on engineering issues concerning stratospheric aerosol injection for geoengineering. Environmental Research Communications. 2(8). 82001–82001. 8 indexed citations
2.
Hunt, H.E.M., et al.. (2017). The PiP model and progress in ground vibration from railways. Cambridge University Engineering Department Publications Database. 1 indexed citations
3.
Ntotsios, Evangelos, et al.. (2015). Modelling of Train Induced Vibration. ePrints Soton (University of Southampton). 2 indexed citations
5.
Burgoyne, C. J., et al.. (2012). Lifting options for stratospheric aerosol geoengineering: advantages of tethered balloon systems. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 370(1974). 4263–4300. 29 indexed citations
6.
Coulier, Pieter, Geert Degrande, Kirsty Kuo, & H.E.M. Hunt. (2010). A comparison of two models for the vibration response of piled foundations to inertial and underground-railway-induced loadings. Cambridge University Engineering Department Publications Database. 6 indexed citations
7.
Jones, Simon & H.E.M. Hunt. (2010). Inhomogeneous soils and their effect on ground vibration due to underground railways. Cambridge University Engineering Department Publications Database.
8.
Jones, Simon, M.F.M. Hussein, & H.E.M. Hunt. (2010). USE OF PiP TO INVESTIGATE THE EFFECT OF A FREE SURFACE ON GROUND VIBRATION DUE TO UNDERGROUND RAILWAYS. ePrints Soton (University of Southampton). 3 indexed citations
9.
Hussein, M.F.M. & H.E.M. Hunt. (2009). A software application for calculating vibration due to moving trains in underground railway tunnels. ePrints Soton (University of Southampton). 2 indexed citations
10.
Hunt, H.E.M., et al.. (2008). Effect of inclined soil layers on vibration from underground railways. Cambridge University Engineering Department Publications Database. 1 indexed citations
11.
Hussein, M.F.M. & H.E.M. Hunt. (2007). The PiP model, a software for calculating vibration from underground railways. ePrints Soton (University of Southampton). 1 indexed citations
12.
Hunt, H.E.M. & M.F.M. Hussein. (2007). Accuracy, and the prediction of ground vibration from underground railways. ePrints Soton (University of Southampton). 1. 490–495.
13.
Hussein, M.F.M., Shashank Gupta, H.E.M. Hunt, Geert Degrande, & J.P. Talbot. (2006). An efficient model for calculating vibration from a railway tunnel buried in a half-space. ePrints Soton (University of Southampton). 11 indexed citations
14.
Gupta, Shashank, M.F.M. Hussein, R. Klein, Geert Degrande, & H.E.M. Hunt. (2005). A comparison of prediction models for vibrations from underground railway traffic. ePrints Soton (University of Southampton). 2 indexed citations
15.
Hussein, M.F.M. & H.E.M. Hunt. (2003). An insertion loss model for evaluating the performance of floating-slab track for underground railway tunnels. ePrints Soton (University of Southampton). 13 indexed citations
16.
Clouteau, Didier, Tahmeed M. Al‐Hussaini, Geert Degrande, & H.E.M. Hunt. (2001). Stochastic modelling of traffic induced vibrations. international conference on Modelling and simulation. 1 indexed citations
17.
Marwala, Tshilidzi & H.E.M. Hunt. (2000). Probabilistic Fault Identification Using Vibration Data and Neural Networks, #122. Cambridge University Engineering Department Publications Database. 4062. 674.
18.
Hunt, H.E.M.. (1997). Settlement of railway track near bridge abutments. Cambridge University Engineering Department Publications Database. 31 indexed citations
19.
Hunt, H.E.M.. (1993). The mechanical strength of ceramic honeycomb monoliths as determined by simple experiments : Advanced materials. Process Safety and Environmental Protection. 71(3). 257–266. 14 indexed citations
20.
Hunt, H.E.M. & N. J. Mills. (1989). The protection of horse riders in impacts with the ground. Proceedings of the International Research Council on the Biomechanics of Injury conference. 17. 157–168. 8 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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