David S. Michaud

2.1k total citations
63 papers, 1.6k citations indexed

About

David S. Michaud is a scholar working on Speech and Hearing, Cognitive Neuroscience and Automotive Engineering. According to data from OpenAlex, David S. Michaud has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Speech and Hearing, 30 papers in Cognitive Neuroscience and 22 papers in Automotive Engineering. Recurrent topics in David S. Michaud's work include Noise Effects and Management (46 papers), Hearing Loss and Rehabilitation (28 papers) and Vehicle Noise and Vibration Control (22 papers). David S. Michaud is often cited by papers focused on Noise Effects and Management (46 papers), Hearing Loss and Rehabilitation (28 papers) and Vehicle Noise and Vibration Control (22 papers). David S. Michaud collaborates with scholars based in Canada, United States and Netherlands. David S. Michaud's co-authors include Stephen E. Keith, Katya Feder, Zul Merali, Hymie Anisman, James P. McNamee, Pamela Kent, Leonora Marro, Judy McIntosh, Allison Denning and Sonia A. Voicescu and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Brain Research.

In The Last Decade

David S. Michaud

61 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David S. Michaud Canada 22 872 596 408 298 294 63 1.6k
Raymond Cluydts Belgium 32 217 0.2× 1.3k 2.1× 117 0.3× 47 0.2× 86 0.3× 91 3.0k
Eva‐Maria Elmenhorst Germany 19 452 0.5× 440 0.7× 245 0.6× 10 0.0× 102 0.3× 48 1.0k
Stephen E. Keith Canada 17 691 0.8× 352 0.6× 363 0.9× 26 0.1× 275 0.9× 44 891
Peter Jönsson Sweden 20 178 0.2× 353 0.6× 18 0.0× 196 0.7× 58 0.2× 49 1.7k
Hildegard Niemann Germany 14 287 0.3× 272 0.5× 106 0.3× 14 0.0× 76 0.3× 38 913
J. Ehrhart France 28 101 0.1× 886 1.5× 32 0.1× 133 0.4× 245 0.8× 47 2.0k
Philipp Schuch Austria 5 132 0.2× 153 0.3× 12 0.0× 136 0.5× 32 0.1× 6 1.2k
M. Spreng Germany 18 449 0.5× 579 1.0× 137 0.3× 12 0.0× 94 0.3× 67 1.2k
Clare Anderson Australia 30 35 0.0× 1.1k 1.8× 64 0.2× 17 0.1× 99 0.3× 107 2.9k
Warwick Williams Australia 18 724 0.8× 679 1.1× 30 0.1× 6 0.0× 27 0.1× 89 1.2k

Countries citing papers authored by David S. Michaud

Since Specialization
Citations

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

Fields of papers citing papers by David S. Michaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Michaud. 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 David S. Michaud. The network helps show where David S. Michaud may publish in the future.

Co-authorship network of co-authors of David S. Michaud

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Michaud. A scholar is included among the top collaborators of David S. Michaud 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 David S. Michaud. David S. Michaud 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.
Michaud, David S., Mireille Guay, Stephen E. Keith, Allison Denning, & James P. McNamee. (2025). An analysis of self-reported sleep disturbance from nighttime wind turbine noise suggests minimal effects but highlights the need for standardization in research design. The Journal of the Acoustical Society of America. 157(1). 275–287. 1 indexed citations
3.
Senerth, Emily, et al.. (2024). A Systematic Review and Meta-Analysis of Noise Annoyance as a Determinant of Physiological Changes Linked to Disease Promotion. International Journal of Environmental Research and Public Health. 21(7). 956–956. 1 indexed citations
4.
Cameron-Blake, Emily, et al.. (2023). Variation in the stringency of COVID-19 public health measures on self-reported health, stress, and overall wellbeing in Canada. Scientific Reports. 13(1). 13094–13094. 3 indexed citations
5.
Ritonja, Jennifer A., et al.. (2022). Impact of Noise Exposure on Risk of Developing Stress-Related Health Effects Related to the Cardiovascular System. Noise and Health. 24(114). 107–129. 24 indexed citations
6.
Michaud, David S., et al.. (2022). Hair cortisol as a viable tool for the assessment of an association between environmental noise exposure and chronic stress. The Journal of the Acoustical Society of America. 152(2). 866–876. 5 indexed citations
7.
Michaud, David S., et al.. (2022). Annoyance toward landscaping equipment noise in Canada. JASA Express Letters. 2(8). 1 indexed citations
8.
Michaud, David S., Leonora Marro, & James P. McNamee. (2021). High frequency hearing impairment and cardiovascular disease in Canada: Results from the Canadian Health Measures Survey. The Journal of the Acoustical Society of America. 150(2). 1001–1012. 2 indexed citations
9.
Degache, Francis, et al.. (2018). The effects of tandem skiing on posture and heart rate in children with profound intellectual and multiple disabilities. Developmental Neurorehabilitation. 22(4). 234–239. 5 indexed citations
10.
Feder, Katya, et al.. (2015). Prevalence of hearing loss among Canadians aged 20 to 79: Audiometric results from the 2012/2013 Canadian Health Measures Survey.. PubMed. 26(7). 18–25. 73 indexed citations
11.
Michaud, David S.. (2015). Health and well-being related to wind turbine noise exposure: Summary of results. The Journal of the Acoustical Society of America. 137(4_Supplement). 2368–2368. 2 indexed citations
13.
Feder, Katya, Leonora Marro, Stephen E. Keith, & David S. Michaud. (2013). Audiometric thresholds and portable digital audio player user listening habits. International Journal of Audiology. 52(9). 606–616. 17 indexed citations
14.
Michaud, David S., Stephen Bly, & Stephen E. Keith. (2008). Using a change in percent highly annoyed with noise as a potential health effect measure for projects under the Canadian Environmental Assessment Act. Canadian acoustics. 36(2). 13–28. 12 indexed citations
15.
Michaud, David S., Sanford Fidell, Karl S. Pearsons, Kenneth C. Campbell, & Stephen E. Keith. (2008). Review of Field Studies of Aircraft Noise-Induced Sleep Disturbance. Noise & Vibration Worldwide. 39(2). 12–23. 2 indexed citations
16.
Keith, Stephen E., David S. Michaud, & Stephen Bly. (2008). A justification for using a 45 dba sound level criterion for wind turbine projects. Canadian acoustics. 36(3). 54–55. 3 indexed citations
18.
Michaud, David S., et al.. (2005). Exposure to chronic noise and fractionated X-ray radiation elicits biochemical changes and disrupts body weight gain in rat. International Journal of Radiation Biology. 81(4). 299–307. 6 indexed citations
19.
Tóth, Zoltán, Istvan Szunyogh, Craig H. Bishop, et al.. (2002). ADAPTIVE OBSERVATIONS AT NCEP: PAST, PRESENT, AND FUTURE. EGS General Assembly Conference Abstracts. 6430. 16 indexed citations
20.
Michaud, David S., Hymie Anisman, & Zul Merali. (1999). Capsaicin-sensitive fibers are required for the anorexic action of systemic but not central bombesin. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 276(6). R1617–R1622. 15 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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