Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Countries citing papers authored by M.F.M. Hussein
Since
Specialization
Citations
This map shows the geographic impact of M.F.M. Hussein'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 M.F.M. Hussein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.F.M. Hussein more than expected).
This network shows the impact of papers produced by M.F.M. Hussein. 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 M.F.M. Hussein. The network helps show where M.F.M. Hussein may publish in the future.
Co-authorship network of co-authors of M.F.M. Hussein
This figure shows the co-authorship network connecting the top 25 collaborators of M.F.M. Hussein.
A scholar is included among the top collaborators of M.F.M. Hussein 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 M.F.M. Hussein. M.F.M. Hussein is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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
5.
Ntotsios, Evangelos, et al.. (2015). Modelling of Train Induced Vibration. ePrints Soton (University of Southampton).2 indexed citations
Hussein, M.F.M., et al.. (2014). Tunnel-soil-pile interaction in the prediction of vibration from underground railways: Validation of the sub-models. Cambridge University Engineering Department Publications Database.5 indexed citations
8.
Hussein, M.F.M., et al.. (2013). The effects of railpad nonlinearity on the vibration of railway tracks under harmonic load. ePrints Soton (University of Southampton).3 indexed citations
9.
Owen, J.S., et al.. (2011). The use of fictitious crack model in modelling the vibration behaviour of cracked reinforced concrete beams. ePrints Soton (University of Southampton).1 indexed citations
10.
Owen, J.S., et al.. (2010). Modelling the nonlinear behaviour of a cracked reinforced concrete beam. ePrints Soton (University of Southampton).4 indexed citations
11.
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
12.
Hussein, M.F.M.. (2010). Modelling vibration from surface and underground railways as an evolutionary random process. ePrints Soton (University of Southampton).3 indexed citations
13.
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
14.
Hussein, M.F.M.. (2009). A comparison between the performance of floating-slab track with continuous and discontinuous slabs in reducing vibration from underground railway tunnels. ePrints Soton (University of Southampton).1 indexed citations
15.
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
16.
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.
17.
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
18.
Gupta, Shakti S., et al.. (2006). A numerical model for ground-borne vibrations and reradiated noise in buildings from underground railways. ePrints Soton (University of Southampton).1 indexed citations
19.
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
20.
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
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.