Kat Agres

949 total citations
34 papers, 465 citations indexed

About

Kat Agres is a scholar working on Cognitive Neuroscience, Signal Processing and Social Psychology. According to data from OpenAlex, Kat Agres has authored 34 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 17 papers in Signal Processing and 10 papers in Social Psychology. Recurrent topics in Kat Agres's work include Neuroscience and Music Perception (19 papers), Music and Audio Processing (17 papers) and Music Technology and Sound Studies (7 papers). Kat Agres is often cited by papers focused on Neuroscience and Music Perception (19 papers), Music and Audio Processing (17 papers) and Music Technology and Sound Studies (7 papers). Kat Agres collaborates with scholars based in Singapore, United Kingdom and United States. Kat Agres's co-authors include Dorien Herremans, Geraínt A. Wiggins, Cuntai Guan, Marcus T. Pearce, Samer Abdallah, Stefan K. Ehrlich, Gordon Cheng, Matthew Purver, Carol L. Krumhansl and Ching‐Hua Chuan and has published in prestigious journals such as PLoS ONE, Neuroscience & Biobehavioral Reviews and IEEE Access.

In The Last Decade

Kat Agres

33 papers receiving 437 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kat Agres Singapore 13 248 182 100 98 97 34 465
Alexis Kirke United Kingdom 14 388 1.6× 145 0.8× 130 1.3× 122 1.2× 33 0.3× 46 501
Duncan Williams United Kingdom 14 378 1.5× 125 0.7× 127 1.3× 100 1.0× 27 0.3× 47 541
Giovanna Varni Italy 12 187 0.8× 66 0.4× 123 1.2× 134 1.4× 101 1.0× 51 506
Leonardo Badino Italy 15 302 1.2× 196 1.1× 129 1.3× 88 0.9× 217 2.2× 41 619
Donald Glowinski Italy 11 342 1.4× 74 0.4× 217 2.2× 190 1.9× 33 0.3× 40 587
Eliot Handelman Canada 3 263 1.1× 145 0.8× 128 1.3× 85 0.9× 32 0.3× 4 387
Simone Hantke Germany 15 70 0.3× 249 1.4× 167 1.7× 70 0.7× 253 2.6× 32 553
Morwaread Farbood United States 11 239 1.0× 181 1.0× 49 0.5× 172 1.8× 21 0.2× 25 348
Andrew J. Milne Australia 15 307 1.2× 176 1.0× 91 0.9× 118 1.2× 13 0.1× 54 462
Makiko Sadakata Netherlands 13 385 1.6× 113 0.6× 231 2.3× 81 0.8× 66 0.7× 40 539

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-authorship network of co-authors of Kat Agres

This figure shows the co-authorship network connecting the top 25 collaborators of Kat Agres. A scholar is included among the top collaborators of Kat Agres 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 Kat Agres. Kat Agres 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
1.
Agres, Kat & Yifan Chen. (2025). The impact of performing arts on mental health, social connection, and creativity in university students: a Randomised Controlled Trial. BMC Public Health. 25(1). 1628–1628. 1 indexed citations
2.
3.
Bonetti, Leonardo, et al.. (2024). Understanding music and aging through the lens of Bayesian inference. Neuroscience & Biobehavioral Reviews. 163. 105768–105768. 3 indexed citations
4.
Agres, Kat, et al.. (2023). AffectMachine-Classical: a novel system for generating affective classical music. Frontiers in Psychology. 14. 1158172–1158172. 3 indexed citations
5.
Maidhof, Clemens, Viktor Müller, Olivier Lartillot, et al.. (2023). Intra- and inter-brain coupling and activity dynamics during improvisational music therapy with a person with dementia: an explorative EEG-hyperscanning single case study. Frontiers in Psychology. 14. 1155732–1155732. 9 indexed citations
6.
Agres, Kat, et al.. (2023). AI-Based Affective Music Generation Systems: A Review of Methods, and Challenges. arXiv (Cornell University). 6 indexed citations
7.
Agres, Kat, Rebecca Schaefer, Anja Volk, et al.. (2021). Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being. Music & Science. 4. 42 indexed citations
8.
Agres, Kat, et al.. (2021). Music Therapy During COVID-19: Changes to the Practice, Use of Technology, and What to Carry Forward in the Future. Frontiers in Psychology. 12. 647790–647790. 28 indexed citations
9.
Herff, Steffen A., Shanshan Zhen, Rongjun Yu, & Kat Agres. (2020). Age-dependent statistical learning trajectories reveal differences in information weighting.. Psychology and Aging. 35(8). 1090–1104. 8 indexed citations
10.
McGregor, Stephen J., et al.. (2019). Re-Representing Metaphor: Modeling Metaphor Perception Using Dynamically Contextual Distributional Semantics. Frontiers in Psychology. 10. 765–765. 6 indexed citations
11.
Ehrlich, Stefan K., Kat Agres, Cuntai Guan, & Gordon Cheng. (2019). A closed-loop, music-based brain-computer interface for emotion mediation. PLoS ONE. 14(3). e0213516–e0213516. 55 indexed citations
12.
Chuan, Ching‐Hua, Kat Agres, & Dorien Herremans. (2018). From context to concept: exploring semantic relationships in music with word2vec. Neural Computing and Applications. 32(4). 1023–1036. 27 indexed citations
13.
Grachten, Maarten, et al.. (2017). From Bach To The Beatles: The Simulation Of Human Tonal Expectation Using Ecologically-Trained Predictive Models.. Zenodo (CERN European Organization for Nuclear Research). 494–501. 1 indexed citations
14.
Agres, Kat, et al.. (2017). Harmonic Structure Predicts the Enjoyment of Uplifting Trance Music. Frontiers in Psychology. 7. 1999–1999. 8 indexed citations
15.
Agres, Kat, Stephen J. McGregor, Matthew Purver, & Geraínt A. Wiggins. (2016). Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces. Queen Mary Research Online (Queen Mary University of London). 3 indexed citations
16.
Agres, Kat, et al.. (2016). Entraining IDyOT: Timing in the Information Dynamics of Thinking. Frontiers in Psychology. 7. 1575–1575. 12 indexed citations
17.
Agres, Kat, et al.. (2016). Evaluation of Musical Creativity and Musical Metacreation Systems. Computers in entertainment. 14(3). 1–33. 29 indexed citations
18.
Agres, Kat, Samer Abdallah, & Marcus T. Pearce. (2013). An Information-Theoretic Account of Musical Expectation and Memory. Cognitive Science. 35(35). 2 indexed citations
19.
Agres, Kat, Jordan E. DeLong, & Michael J. Spivey. (2009). The Sparsity of Simple Recurrent Networks in Musical Structure Learning. eScholarship (California Digital Library). 31(31). 2 indexed citations
20.
Agres, Kat & Carol L. Krumhansl. (2008). Musical change deafness: The inability to detect change in a non-speech auditory domain. eScholarship (California Digital Library). 30(30). 9 indexed citations

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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