David S. Michaud
- Speech and Hearing top 0.2%
- Cognitive Neuroscience top 5%
- Automotive Engineering top 2%
- Behavioral Neuroscience top 2%
- Biomedical Engineering top 10%
- Co-authors
- Stephen E. KeithKatya FederZul MeraliHymie AnismanJames P. McNameePamela KentLeonora MarroJudy McIntosh
- Topics
- Noise Effects and Management (46 papers)Hearing Loss and Rehabilitation (28 papers)Vehicle Noise and Vibration Control (22 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
David S. Michaud
61 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 122
- Speech and Hearing 872
- Cognitive Neuroscience 596
- Automotive Engineering 408
- Behavioral Neuroscience 298
- Biomedical Engineering 294
Countries citing papers authored by David S. Michaud
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 24 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | Prevalence of hearing loss among Canadians aged 20 to 79: Audiometric results from the 2012/2013 Canadian Health Measures Survey. | 73 |
| 11 | 52 | |
| 12 | Using a change in percent highly annoyed with noise as a potential health effect measure for projects under the Canadian Environmental Assessment Act | 12 |
| 13 | A justification for using a 45 dba sound level criterion for wind turbine projects | 3 |
| 14 | 6 | |
| 15 | 54 | |
| 16 | 9 | |
| 17 | 63 | |
| 18 | ADAPTIVE OBSERVATIONS AT NCEP: PAST, PRESENT, AND FUTURE | 16 |
| 19 | 32 | |
| 20 | 21 |
About David S. Michaud
David S. Michaud is a scholar working on Speech and Hearing, Sensory Systems and Automotive Engineering, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Noise Effects and Management (46 papers), Hearing Loss and Rehabilitation (28 papers) and Vehicle Noise and Vibration Control (22 papers). The work is most often cited by research in Speech and Hearing (872 citations), Behavioral Neuroscience (298 citations) and Sensory Systems (253 citations). David S. Michaud has collaborated with scholars based in Canada, United States and Netherlands. Frequent 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. Their work appears in journals such as Journal of Neuroscience, Scientific Reports and Brain Research.
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.