Trevor Agus

876 citations
25 papers · 519 indexed · h-index 13

Impact in

Papers in

Trevor Agus

25 papers receiving 509 citations

Peers

Trevor Agus
Comparison fields: 5 of 49
  • Cognitive Neuroscience 456
  • Speech and Hearing 90
  • Experimental and Cognitive Psychology 147
  • Signal Processing 114
  • Sensory Systems 41
Replace Kevin J. P. Woods with:
Kevin J. P. Woods United States
D. Timothy Ives United Kingdom
Andrew T. Sabin United States
Clara Suied France
Cheng Luo China
Ediz Sohoglu United Kingdom
Nicolas Barascud United Kingdom
Bradley S. Brubaker United States
Matthew G. Wisniewski United States
Anthony J. Watkins United Kingdom
Trevor Agus relative to Kevin J. P. Woods United States Kevin J. P. Woods's profile →
Citations per field
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Citations per year

Countries citing papers authored by Trevor Agus

Since Specialization
Citations

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

Fields of papers citing papers by Trevor Agus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Trevor Agus, 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 Trevor Agus Line = papers co-authored together Trevor Agus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20232
3
Investigation of a Real-Time Hearing Loss Simulation for use in Audio Production
20201
4
Perceptually motivated hearing loss simulation for audio mixing reference
20191
5 201727
6
Adapting audio mixes for hearing impairments
20171
7 201611
8 201541
9 201523
10 20143
11 201435
12 20134
13 20131
14 201331
15 201313
16 20131
17 20123
18 201245
19 201112
20 2010135

About Trevor Agus

Trevor Agus is a scholar working on Cognitive Neuroscience, Speech and Hearing, Signal Processing, Sensory Systems and Developmental Biology, having authored 25 papers that have together received 519 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (18 papers), Neuroscience and Music Perception (12 papers), Noise Effects and Management (8 papers), Neural dynamics and brain function (6 papers), Speech and Audio Processing (5 papers), Music and Audio Processing (4 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Diverse Music Education Insights (1 paper). The work is most often cited by research in Cognitive Neuroscience (456 citations), Speech and Hearing (90 citations), Experimental and Cognitive Psychology (147 citations), Signal Processing (114 citations) and Sensory Systems (41 citations). Trevor Agus has collaborated with scholars based in France, United Kingdom and Belgium. Frequent co-authors include Daniel Pressnitzer, Simon J. Thorpe, Clara Suied, Michael A. Akeroyd, Stuart Gatehouse, David Warden, Thomas Andrillon, Sid Kouider, Nima Mesgarani and William Noble. Their work appears in journals such as The Journal of the Acoustical Society of America, Scientific Reports, Journal of the Audio Engineering Society, Cognition and Ear and Hearing.

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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