John L. Davy

1.4k total citations
92 papers, 1.0k citations indexed

About

John L. Davy is a scholar working on Biomedical Engineering, Speech and Hearing and Civil and Structural Engineering. According to data from OpenAlex, John L. Davy has authored 92 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Biomedical Engineering, 23 papers in Speech and Hearing and 21 papers in Civil and Structural Engineering. Recurrent topics in John L. Davy's work include Acoustic Wave Phenomena Research (64 papers), Noise Effects and Management (23 papers) and Structural Health Monitoring Techniques (19 papers). John L. Davy is often cited by papers focused on Acoustic Wave Phenomena Research (64 papers), Noise Effects and Management (23 papers) and Structural Health Monitoring Techniques (19 papers). John L. Davy collaborates with scholars based in Australia, New Zealand and China. John L. Davy's co-authors include Mohammad Fard, Zhengqing Liu, Jiaxing Zhan, John Pearse, Yonggang Zhu, Richard Manasseh, David R. Hillman, Stephen R. Robinson, Paolo Bonfiglio and Patrizio Fausti and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Sound and Vibration and Building and Environment.

In The Last Decade

John L. Davy

82 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John L. Davy Australia 18 704 270 207 158 148 92 1.0k
Bilong Liu China 18 743 1.1× 210 0.8× 191 0.9× 217 1.4× 194 1.3× 83 1.0k
Jonas Brunskog Denmark 19 603 0.9× 298 1.1× 100 0.5× 55 0.3× 190 1.3× 122 1.1k
Masahiro Toyoda Japan 14 518 0.7× 182 0.7× 87 0.4× 107 0.7× 100 0.7× 76 735
Bruno Brouard France 15 734 1.0× 206 0.8× 89 0.4× 90 0.6× 166 1.1× 35 838
Arcanjo Lenzi Brazil 16 399 0.6× 169 0.6× 134 0.6× 97 0.6× 174 1.2× 63 689
N.B. Roozen Belgium 17 345 0.5× 88 0.3× 122 0.6× 170 1.1× 290 2.0× 80 743
Franck Sgard Canada 23 1.3k 1.8× 353 1.3× 207 1.0× 168 1.1× 335 2.3× 129 1.7k
Marie‐Annick Galland France 15 687 1.0× 140 0.5× 128 0.6× 163 1.0× 144 1.0× 53 900
Yeon June Kang South Korea 21 1.2k 1.6× 304 1.1× 300 1.4× 293 1.9× 491 3.3× 97 1.7k
Zhenbo Lu Singapore 20 908 1.3× 315 1.2× 113 0.5× 255 1.6× 204 1.4× 66 1.2k

Countries citing papers authored by John L. Davy

Since Specialization
Citations

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

Fields of papers citing papers by John L. Davy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Davy. 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 John L. Davy. The network helps show where John L. Davy may publish in the future.

Co-authorship network of co-authors of John L. Davy

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Davy. A scholar is included among the top collaborators of John L. Davy 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 John L. Davy. John L. Davy 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.
Fard, Mohammad, et al.. (2025). Vibration-induced drowsiness contours: New safety recommendations for the transport industry. Journal of Safety Research. 94. 490–505.
2.
Davy, John L., et al.. (2025). A novel and fast crash simulation method: Revolutionising racetrack safety barrier analysis. Results in Engineering. 25. 103870–103870. 1 indexed citations
3.
Fard, Mohammad, et al.. (2025). Objective evaluation of 35 heart rate variability parameters for predicting takeover performance in conditionally automated driving. International Journal of Industrial Ergonomics. 106. 103699–103699. 3 indexed citations
4.
Fard, Mohammad, et al.. (2024). Cognitive load and task switching in drivers: Implications for road safety in semi-autonomous vehicles. Transportation Research Part F Traffic Psychology and Behaviour. 107. 1175–1197. 6 indexed citations
5.
Davy, John L., et al.. (2023). Data augmentation on convolutional neural networks to classify mechanical noise. Applied Acoustics. 203. 109209–109209. 20 indexed citations
6.
Fard, Mohammad, et al.. (2023). Road safety: The influence of vibration frequency on driver drowsiness, reaction time, and driving performance. Applied Ergonomics. 114. 104148–104148. 8 indexed citations
7.
Fard, Mohammad, et al.. (2023). Interrelatedness of steering and lateral position parameters: Recommendations for the assessment of driving performance. Journal of Safety Research. 88. 275–284. 4 indexed citations
8.
Fard, Mohammad, et al.. (2023). Influence of non-driving related tasks on driving performance after takeover transition in conditionally automated driving. Transportation Research Part F Traffic Psychology and Behaviour. 96. 248–264. 17 indexed citations
9.
Fard, Mohammad, et al.. (2021). Mel frequency cepstral coefficient temporal feature integration for classifying squeak and rattle noise. The Journal of the Acoustical Society of America. 150(1). 193–201. 13 indexed citations
10.
Davy, John L., et al.. (2020). A Review of the Potential Impacts of Wind Turbine Noise in the Australian Context. Acoustics Australia. 48(2). 181–197. 8 indexed citations
11.
Santoni, Andrea, John L. Davy, Patrizio Fausti, & Paolo Bonfiglio. (2020). A review of the different approaches to predict the sound transmission loss of building partitions. Building Acoustics. 27(3). 253–279. 17 indexed citations
12.
Fard, Mohammad, et al.. (2020). Squeak and rattle noise classification using radial basis function neural networks. Noise Control Engineering Journal. 68(4). 283–293. 2 indexed citations
13.
Fard, Mohammad, et al.. (2020). Landmark-based audio fingerprinting system applied to vehicle squeak and rattle noises. Noise Control Engineering Journal. 68(2). 113–124. 2 indexed citations
14.
Davy, John L., et al.. (2018). The equivalent translational compliance of steel studs with different steel gauge thicknesses. RMIT Research Repository (RMIT University Library). 1 indexed citations
15.
Davy, John L.. (2018). Does diffusivity affect the spatial variance of reverberation time?. RMIT Research Repository (RMIT University Library).
16.
Davy, John L., et al.. (2016). The transmission of forced waves at a junction. RMIT Research Repository (RMIT University Library).
17.
Fard, Mohammad, et al.. (2016). Acoustic properties of the porous material in a car cabin model. RMIT Research Repository (RMIT University Library). 4 indexed citations
18.
Davy, John L., et al.. (2015). Approximate equations for the radiation impedance of a rectangular panel. RMIT Research Repository (RMIT University Library). 1 indexed citations
19.
Fard, Mohammad, et al.. (2015). The effects of porous materials on the noise inside a box cavity. RMIT Research Repository (RMIT University Library). 1 indexed citations
20.
Davy, John L., et al.. (2015). The prediction of the diffuse field sound absorption of perforated panel systems. RMIT Research Repository (RMIT University Library). 3 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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