Kat Agres

33 papers receiving 437 citations

Peers

Kat Agres
Comparison fields: 5 of 79
  • Signal Processing 182
  • Music 42
  • Cognitive Neuroscience 248
  • Experimental and Cognitive Psychology 100
  • Computer Vision and Pattern Recognition 98
Replace Alexis Kirke with:
Alexis Kirke United Kingdom
Leonardo Badino Italy
Morwaread Farbood United States
Makiko Sadakata Netherlands
Duncan Williams United Kingdom
Andrew J. Milne Australia
Eliot Handelman Canada
Micheline Lesaffre Belgium
Donald Glowinski Italy
Athanasia Zlatintsi Greece
Kat Agres relative to Alexis Kirke United Kingdom Alexis Kirke's profile →
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Citations per year

Countries citing papers authored by Kat Agres

Since Specialization
Citations

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

Fields of papers citing papers by Kat Agres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201955
2 202050
3 201743
4 202142
5 201629
6 202128
7 202028
8 201827
9 201917
10 201516
11 202413
12 201612
13 202212
14
Musical change deafness: The inability to detect change in a non-speech auditory domain
20089
15 20239
16 20089
17 20208
18 20178
19 20178
20 20196

About Kat Agres

Kat Agres is a scholar working on Cognitive Neuroscience, Signal Processing, Social Psychology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 34 papers that have together received 465 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (19 papers), Music and Audio Processing (17 papers), Music Technology and Sound Studies (7 papers), Music Therapy and Health (7 papers), Diverse Music Education Insights (4 papers), Hearing Loss and Rehabilitation (3 papers), Action Observation and Synchronization (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Signal Processing (182 citations), Music (42 citations), Cognitive Neuroscience (248 citations), Experimental and Cognitive Psychology (100 citations) and Computer Vision and Pattern Recognition (98 citations). Kat Agres has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Dorien Herremans, Geraínt A. Wiggins, Cuntai Guan, Samer Abdallah, Marcus T. Pearce, Gordon Cheng, Stefan K. Ehrlich, Matthew Purver, Ching‐Hua Chuan and Carol L. Krumhansl. Their work appears in journals such as Frontiers in Psychology, Cognitive Science, Neuroscience & Biobehavioral Reviews, Behavioral and Brain Sciences and IEEE Access.

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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