Trevor Agus

884 citations
25 papers · 529 · h-index 13

Impact in

Papers in

    • Hearing Loss and Rehabilitation 17
    • Neuroscience and Music Perception 11
    • Neural dynamics and brain function 6
    • Autism Spectrum Disorder Research 1
    • Noise Effects and Management 7

Trevor Agus

25 papers receiving 518 citations

Peers

Trevor Agus
Comparison fields: 5 of 48
  • Cognitive Neuroscience 450
  • Speech and Hearing 74
  • Experimental and Cognitive Psychology 141
  • Signal Processing 107
  • Sensory Systems 34
Replace D. Timothy Ives with:
D. Timothy Ives United Kingdom
Kevin J. P. Woods United States
Andrew T. Sabin United States
Clara Suied France
Nicolas Barascud United Kingdom
Ediz Sohoglu United Kingdom
Bradley S. Brubaker United States
Anthony J. Watkins United Kingdom
Valeriy Shafiro United States
Dana Boebinger United States
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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-authors

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

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010137
2 200952
3 201246
4 201541
5 201437
6 201435
7 201331
8 201728
9 201523
10 200921
11 201721
12 201113
13 201313
14 201611
15 20134
16 20143
17 20123
18 20232
19 20182
20
Investigation of a Real-Time Hearing Loss Simulation for use in Audio Production
20201

About Trevor Agus

Trevor Agus is a scholar working on Cognitive Neuroscience, Speech and Hearing, Signal Processing, Sensory Systems and Developmental and Educational Psychology, having authored 25 papers that have together received 529 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (17 papers), Neuroscience and Music Perception (11 papers), Noise Effects and Management (7 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 Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (450 citations), Speech and Hearing (74 citations), Experimental and Cognitive Psychology (141 citations), Signal Processing (107 citations) and Sensory Systems (34 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, David Warden, Stuart Gatehouse, Thomas Andrillon, Sid Kouider, Nima Mesgarani and Sébastien Rioux Paquette. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the Audio Engineering Society, Cognition, Scientific Reports and Current Biology.

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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