Ann Perreau
Impact in
- Sensory Systems top 1%
- Hearing, Cochlea, Tinnitus, Genetics
- Speech and Hearing top 1%
- Noise Effects and Management
Papers in
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- Hearing Loss and Rehabilitation 24
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- Hearing, Cochlea, Tinnitus, Genetics 17
- Co-authors
- Richard S. Tyler (24 shared papers)Haihong Ji (2 shared papers)Camille C. Dunn (5 shared papers)Shelley Witt (6 shared papers)Bruce J. Gantz (1 shared paper)Claudia Coelho (1 shared paper)William Noble (1 shared paper)Patrícia Cotta Mancini (10 shared papers)
- Journals
- American Journal of Audiology (11 papers)Journal of the American Academy of Audiology (11 papers)Ear and Hearing (1 paper)Audiology and Neurotology (1 paper)The International Tinnitus Journal (2 papers)
- Partner nations
- United StatesBrazilChina
In The Last Decade
Ann Perreau
25 papers receiving 510 citations
Peers
Comparison fields: 5 of 39
- Sensory Systems 375
- Speech and Hearing 251
- Cognitive Neuroscience 477
- Neurology 125
- Otorhinolaryngology 33
Countries citing papers authored by Ann Perreau
This map shows the geographic impact of Ann Perreau'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 Ann Perreau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Perreau more than expected).
Fields of papers citing papers by Ann Perreau
This network shows the impact of papers produced by Ann Perreau. 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 Ann Perreau. The network helps show where Ann Perreau may publish in the future.
Co-authors
The 24 scholars most cited alongside Ann Perreau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 106 | |
| 2 | 2010 | 93 | |
| 3 | 2009 | 59 | |
| 4 | 2017 | 38 | |
| 5 | 2020 | 33 | |
| 6 | 2013 | 23 | |
| 7 | 2018 | 23 | |
| 8 | 2012 | 21 | |
| 9 | 2007 | 16 | |
| 10 | 2014 | 13 | |
| 11 | 2010 | 12 | |
| 12 | 2010 | 11 | |
| 13 | 2014 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2008 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2017 | 5 |
About Ann Perreau
Ann Perreau is a scholar working on Cognitive Neuroscience, Sensory Systems, Speech and Hearing, Neurology and Signal Processing, having authored 26 papers that have together received 518 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (24 papers), Hearing, Cochlea, Tinnitus, Genetics (17 papers), Noise Effects and Management (15 papers), Vestibular and auditory disorders (6 papers), Speech and Audio Processing (5 papers), Hearing Impairment and Communication (3 papers), Heart Rate Variability and Autonomic Control (1 paper) and Health and Wellbeing Research (1 paper). The work is most often cited by research in Sensory Systems (375 citations), Speech and Hearing (251 citations), Cognitive Neuroscience (477 citations), Neurology (125 citations) and Otorhinolaryngology (33 citations). Ann Perreau has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Richard S. Tyler, Haihong Ji, Camille C. Dunn, Shelley Witt, Bruce J. Gantz, Claudia Coelho, William Noble, Patrícia Cotta Mancini, Hua Ou and Daniel P. Corts. Their work appears in journals such as American Journal of Audiology, Journal of the American Academy of Audiology, Ear and Hearing, Audiology and Neurotology and The International Tinnitus Journal.
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.