Colette M. McKay

5.4k citations
150 papers · 4.1k indexed · h-index 39
Topics
Hearing Loss and Rehabilitation (106 papers)Noise Effects and Management (52 papers)Speech and Audio Processing (43 papers)

In The Last Decade

Colette M. McKay

144 papers receiving 4.0k citations

Peers

Colette M. McKay
Comparison fields: 5 of 128
  • Cognitive Neuroscience 3.5k
  • Sensory Systems 1.6k
  • Speech and Hearing 1.4k
  • Signal Processing 1.2k
  • Biomedical Engineering 432
Replace Michael A. Akeroyd with:
Michael A. Akeroyd United Kingdom
Kurt Hecox United States
Sumitrajit Dhar United States
Mark E. Lutman United Kingdom
A. Starr United States
Anthony T. Herdman Canada
Shimon Sapir United States
Haihong Liu China
Catherine Fischer France
James T. Marsh United States
Colette M. McKay relative to Michael A. Akeroyd United Kingdom Michael A. Akeroyd's profile →
Citations per field
00.5×
Michael A. Akeroyd · 1×
Citations per year

Countries citing papers authored by Colette M. McKay

Since Specialization
Citations

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

Fields of papers citing papers by Colette M. McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colette M. McKay

This figure shows the co-authorship network connecting the top 25 collaborators of Colette M. McKay. A scholar is included among the top collaborators of Colette M. McKay 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 Colette M. McKay. Colette M. McKay 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
#WorkIndexed citations
1 1
2 2
3 1
4 4
5 0
6 1
7 3
8 3
9 47
10 8
11 41
12 43
13 88
14 125
15 20
16 37
17
Preliminary results on spectral shape perception and discrimination of musical sounds by normal hearing subjects and cochlear implantees
6
18
Comparison of the speak (spectral maxima) and multipeak speech processing strategies and improved speech perception in background noise
1
19 1
20 30

About Colette M. McKay

Colette M. McKay is a scholar working on Speech and Hearing, Sensory Systems and Cognitive Neuroscience, having authored 150 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (106 papers), Noise Effects and Management (52 papers) and Speech and Audio Processing (43 papers). The work is most often cited by research in Sensory Systems (1.6k citations), Speech and Hearing (1.4k citations) and Cognitive Neuroscience (3.5k citations). Colette M. McKay has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Hugh J. McDermott, Graeme M. Clark, Katherine R. Henshall, Andrew E. Vandali, Robert P. Carlyon, Louise Hickson, Valerie Looi, Hamish Innes-Brown, Gary Rance and David Copolov. Their work appears in journals such as PLoS ONE, American Journal of Psychiatry and Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026