William M. Whitmer

929 total citations
52 papers, 611 citations indexed

About

William M. Whitmer is a scholar working on Cognitive Neuroscience, Speech and Hearing and Signal Processing. According to data from OpenAlex, William M. Whitmer has authored 52 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 24 papers in Speech and Hearing and 12 papers in Signal Processing. Recurrent topics in William M. Whitmer's work include Hearing Loss and Rehabilitation (32 papers), Noise Effects and Management (24 papers) and Speech and Audio Processing (11 papers). William M. Whitmer is often cited by papers focused on Hearing Loss and Rehabilitation (32 papers), Noise Effects and Management (24 papers) and Speech and Audio Processing (11 papers). William M. Whitmer collaborates with scholars based in United Kingdom, United States and Denmark. William M. Whitmer's co-authors include Michael A. Akeroyd, W. Owen Brimijoin, Lauren V. Hadley, Bernhard U. Seeber, Ralf Bauer, Deepak Uttamchandani, Joseph C. Jackson, James F. C. Windmill, John J. Soraghan and Emina Aličković and has published in prestigious journals such as PLoS ONE, Scientific Reports and Cochrane Database of Systematic Reviews.

In The Last Decade

William M. Whitmer

50 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William M. Whitmer United Kingdom 16 431 272 150 131 87 52 611
W. Owen Brimijoin United Kingdom 16 490 1.1× 179 0.7× 81 0.5× 186 1.4× 180 2.1× 37 606
Johan J. Hanekom South Africa 13 418 1.0× 151 0.6× 205 1.4× 162 1.2× 47 0.5× 41 520
Paul C. Nelson United States 9 589 1.4× 171 0.6× 369 2.5× 106 0.8× 56 0.6× 17 724
Ewan A. Macpherson Canada 15 886 2.1× 319 1.2× 275 1.8× 261 2.0× 264 3.0× 42 960
David M. Green United States 7 837 1.9× 316 1.2× 228 1.5× 206 1.6× 309 3.6× 7 991
Jane M. Opie United States 12 604 1.4× 281 1.0× 247 1.6× 254 1.9× 59 0.7× 18 694
Bernhard U. Seeber Germany 16 807 1.9× 510 1.9× 371 2.5× 306 2.3× 110 1.3× 72 883
Mathias Dietz Germany 19 840 1.9× 408 1.5× 381 2.5× 378 2.9× 81 0.9× 68 946
Brian B. Monson United States 17 540 1.3× 222 0.8× 229 1.5× 307 2.3× 149 1.7× 45 871
Andrew T. Sabin United States 13 466 1.1× 154 0.6× 125 0.8× 128 1.0× 118 1.4× 27 562

Countries citing papers authored by William M. Whitmer

Since Specialization
Citations

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

Fields of papers citing papers by William M. Whitmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Whitmer. 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 William M. Whitmer. The network helps show where William M. Whitmer may publish in the future.

Co-authorship network of co-authors of William M. Whitmer

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Whitmer. A scholar is included among the top collaborators of William M. Whitmer 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 William M. Whitmer. William M. Whitmer 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.
Akeroyd, Michael A., Jon Barker, Trevor J. Cox, et al.. (2025). The First Cadenza Challenges: Using Machine Learning Competitions to Improve Music for Listeners With a Hearing Loss. IEEE Open Journal of Signal Processing. 6. 722–734. 1 indexed citations
2.
Akeroyd, Michael A., Jon Barker, Trevor J. Cox, et al.. (2024). The ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids. Research Explorer (The University of Manchester). 93–94. 1 indexed citations
3.
Cox, Trevor J., Alexander Miller, Bruno Fazenda, et al.. (2024). The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning. Data in Brief. 57. 111199–111199. 1 indexed citations
4.
Richter, Michael M., Hamish Innes-Brown, Lorenz Fiedler, et al.. (2023). Combining Multiple Psychophysiological Measures of Listening Effort: Challenges and Recommendations. Seminars in Hearing. 44(2). 95–105. 8 indexed citations
5.
Hartley, Douglas E. H., Joanna Lockwood, Magdalena Sereda, et al.. (2023). Tinnitus, Suicide, and Suicidal Ideation: A Scoping Review of Primary Research. Brain Sciences. 13(10). 1496–1496. 7 indexed citations
6.
Kubba, Haytham, William M. Whitmer, & George G Browning. (2022). Measuring benefit from non‐surgical interventions in otolaryngology for different conditions, using the revised 5‐factor Glasgow Benefit Inventory. Clinical Otolaryngology. 48(1). 25–31. 2 indexed citations
7.
Dau, Torsten, et al.. (2021). Audiometric profiles and patterns of benefit: a data-driven analysis of subjective hearing difficulties and handicaps. International Journal of Audiology. 61(4). 301–310. 4 indexed citations
8.
Seifi, Tirdad, Carina Graversen, Dorothea Wendt, et al.. (2020). An exploratory Study of EEG Alpha Oscillation and Pupil Dilation in Hearing-Aid Users During Effortful listening to Continuous Speech. PLoS ONE. 15(7). e0235782–e0235782. 41 indexed citations
9.
Whitmer, William M., et al.. (2020). The perceptual limitations of troubleshooting hearing-aids based on patients’ descriptions. International Journal of Audiology. 60(6). 427–437. 7 indexed citations
10.
Whitmer, William M., et al.. (2019). Adaptation to hearing-aid microphone modes in a dynamic localisation task. 7. 197–204. 1 indexed citations
11.
Whitmer, William M., et al.. (2019). Discrimination of Gain Increments in Speech-Shaped Noises. Trends in Hearing. 23. 2759831932–2759831932. 9 indexed citations
12.
Bauer, Ralf, et al.. (2018). A Low-Frequency Dual-Band Operational Microphone Mimicking the Hearing Property of Ormia Ochracea. Journal of Microelectromechanical Systems. 27(4). 667–676. 27 indexed citations
13.
Bauer, Ralf, et al.. (2018). A MEMS microphone inspired by Ormia for spatial sound detection. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 253–256. 13 indexed citations
14.
Douglas, Catriona M., et al.. (2017). The effect of tonsillectomy on the morbidity from recurrent tonsillitis. Clinical Otolaryngology. 42(6). 1206–1210. 19 indexed citations
15.
Whitmer, William M., et al.. (2016). The Just-Meaningful Difference in Speech-to-Noise Ratio. Trends in Hearing. 20. 28 indexed citations
16.
Moore, David R., et al.. (2016). Lifetime leisure music exposure associated with increased frequency of tinnitus. Hearing Research. 347. 18–27. 25 indexed citations
17.
Whitmer, William M., Bernhard U. Seeber, & Michael A. Akeroyd. (2014). The perception of apparent auditory source width in hearing-impaired adults. The Journal of the Acoustical Society of America. 135(6). 3548–3559. 22 indexed citations
18.
Brimijoin, W. Owen, et al.. (2014). The Effect of Hearing Aid Microphone Mode on Performance in an Auditory Orienting Task. Ear and Hearing. 35(5). e204–e212. 28 indexed citations
19.
Whitmer, William M., et al.. (2013). The effect of experience on the sensitivity and specificity of the whispered voice test: a diagnostic accuracy study. BMJ Open. 3(4). e002394–e002394. 21 indexed citations
20.
Whitmer, William M. & Michael A. Akeroyd. (2010). Level Discrimination of Speech Sounds by Hearing-Impaired Individuals With and Without Hearing Amplification. Ear and Hearing. 32(3). 391–398. 9 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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Breakdown of academic impact, for papers by W. Owen Brimijoin Breakdown of academic impact, for papers by Johan J. Hanekom Breakdown of academic impact, for papers by Paul C. Nelson Breakdown of academic impact, for papers by Ewan A. Macpherson Breakdown of academic impact, for papers by David M. Green Breakdown of academic impact, for papers by Jane M. Opie Breakdown of academic impact, for papers by Bernhard U. Seeber Breakdown of academic impact, for papers by Mathias Dietz Breakdown of academic impact, for papers by Brian B. Monson Breakdown of academic impact, for papers by Andrew T. Sabin
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