Michael Barron

1.9k citations
58 papers · 1.4k · h-index 17

Impact in

Papers in

Michael Barron

44 papers receiving 1.1k citations

Peers

Michael Barron
Comparison fields: 5 of 99
  • Speech and Hearing 705
  • Cognitive Neuroscience 934
  • Signal Processing 280
  • Music 53
  • Computer Vision and Pattern Recognition 309
Replace Jens Holger Rindel with:
Jens Holger Rindel Denmark
Stefan Weinzierl Germany
Jukka Pätynen Finland
Mendel Kleiner Sweden
Catherine Guastavino Canada
Louena Shtrepi Italy
Sakari Tervo Finland
Lily M. Wang United States
Nicola Prodi Italy
Densil Cabrera Australia
Michael Barron relative to Jens Holger Rindel Denmark Jens Holger Rindel's profile →
Citations per field
00.5×3.6×
Jens Holger Rindel · 1×
Citations per year

Countries citing papers authored by Michael Barron

Since Specialization
Citations

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

Fields of papers citing papers by Michael Barron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Barron. 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 Michael Barron. The network helps show where Michael Barron may publish in the future.

Co-authors

The 10 scholars most cited alongside Michael Barron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Barron Line = papers co-authored together Michael Barron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981215
2 1994194
3 1988174
4 1971159
5 2009145
6
Subjective study of British symphony concert halls
198896
7 200146
8 200124
9 200124
10 200722
11 199521
12 199519
13 200018
14 200517
15 197917
16 197816
17
The effects of early reflections on subjective acoustical quality in concert halls
197416
18 201013
19 199613
20 200113

About Michael Barron

Michael Barron is a scholar working on Cognitive Neuroscience, Speech and Hearing, Computer Vision and Pattern Recognition, Biomedical Engineering and Music, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (23 papers), Noise Effects and Management (22 papers), Music Technology and Sound Studies (16 papers), Neuroscience and Music Perception (8 papers), Acoustic Wave Phenomena Research (5 papers), Forecasting Techniques and Applications (4 papers), Diverse Musicological Studies (3 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Speech and Hearing (705 citations), Cognitive Neuroscience (934 citations), Signal Processing (280 citations), Music (53 citations) and Computer Vision and Pattern Recognition (309 citations). Michael Barron has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include A.H. Marshall, Sonya Coleman, Simon Bradford, Jin Yong Jeon, David Targett, Ken H. Morgan, Mark West, Howard Townsend, Tom Moher and David Thompson. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Sound and Vibration, Applied Acoustics, Building Acoustics and Management Decision.

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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