Tom Collins

932 total citations
27 papers, 464 citations indexed

About

Tom Collins is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Tom Collins has authored 27 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 16 papers in Computer Vision and Pattern Recognition and 13 papers in Cognitive Neuroscience. Recurrent topics in Tom Collins's work include Music and Audio Processing (17 papers), Music Technology and Sound Studies (16 papers) and Neuroscience and Music Perception (13 papers). Tom Collins is often cited by papers focused on Music and Audio Processing (17 papers), Music Technology and Sound Studies (16 papers) and Neuroscience and Music Perception (13 papers). Tom Collins collaborates with scholars based in United Kingdom, United States and Austria. Tom Collins's co-authors include Robin Laney, Daniel Müllensiefen, Peter M. C. Harrison, Alistair Willis, Paul H. Garthwaite, Frederick S. Barrett, Petr Janata, Barbara Tillmann, Anne‐Claude Gingras and Kathryn S. Lilley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Review and Nature Methods.

In The Last Decade

Tom Collins

24 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Collins United Kingdom 12 156 133 117 92 48 27 464
Dan Tidhar United Kingdom 8 74 0.5× 61 0.5× 67 0.6× 128 1.4× 3 0.1× 20 551
Pauline Rafferty United Kingdom 11 31 0.2× 52 0.4× 110 0.9× 14 0.2× 33 0.7× 32 266
Cristina Robles Spain 4 22 0.1× 18 0.1× 35 0.3× 24 0.3× 46 1.0× 7 821
David Eargle United States 10 65 0.4× 47 0.4× 15 0.1× 13 0.1× 18 0.4× 20 517
Menno van Zaanen Netherlands 12 27 0.2× 64 0.5× 67 0.6× 33 0.4× 3 0.1× 88 703
Nava Tintarev Netherlands 15 35 0.2× 41 0.3× 65 0.6× 3 0.0× 27 0.6× 46 483
Catherine Lai United Kingdom 14 44 0.3× 154 1.2× 49 0.4× 5 0.1× 8 0.2× 73 635
Lonneke van der Plas Malta 11 52 0.3× 43 0.3× 93 0.8× 76 0.8× 24 0.5× 45 1.2k
Patrick Juola United States 18 71 0.5× 65 0.5× 62 0.5× 24 0.3× 33 0.7× 59 1.5k
Khalil Sima’an Netherlands 19 42 0.3× 20 0.2× 214 1.8× 53 0.6× 14 0.3× 86 1.3k

Countries citing papers authored by Tom Collins

Since Specialization
Citations

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

Fields of papers citing papers by Tom Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Collins

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Collins. A scholar is included among the top collaborators of Tom Collins 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 Tom Collins. Tom Collins 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.
Collins, Tom, et al.. (2024). NoiseBandNet: Controllable Time-Varying Neural Synthesis of Sound Effects Using Filterbanks. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 1573–1585.
2.
Collins, Tom, et al.. (2024). Comparative Evaluation in the Wild: Systems for the Expressive Rendering of Music. IEEE Transactions on Artificial Intelligence. 5(10). 5290–5303. 1 indexed citations
3.
Archer-Boyd, Alan, et al.. (2023). How Will You Pod? Implications of Creators’ Perspectives for Designing Innovative Podcasting Tools. ACM Transactions on Multimedia Computing Communications and Applications. 20(3). 1–25. 2 indexed citations
4.
Stepney, Susan, et al.. (2023). Deep learning’s shallow gains: a comparative evaluation of algorithms for automatic music generation. Machine Learning. 112(5). 1785–1822. 13 indexed citations
5.
Kustatscher, Georg, Tom Collins, Anne‐Claude Gingras, et al.. (2022). Understudied proteins: opportunities and challenges for functional proteomics. Nature Methods. 19(7). 774–779. 110 indexed citations
6.
Collins, Tom, et al.. (2022). How Do You Pod? A Study Revealing the Archetypal Podcast Production Workflow. 11–18. 8 indexed citations
7.
8.
Collins, Tom, et al.. (2022). What is a podcast? Considering innovations in podcasting through the six-tensions framework. Convergence The International Journal of Research into New Media Technologies. 28(5). 1260–1282. 41 indexed citations
9.
Laney, Robin & Tom Collins. (2017). Computer-Generated Stylistic Compositions with Long-Term Repetitive and Phrasal Structure. SHILAP Revista de lepidopterología. 1(2). 11 indexed citations
10.
Harrison, Peter M. C., Tom Collins, & Daniel Müllensiefen. (2017). Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation. Scientific Reports. 7(1). 3618–3618. 46 indexed citations
11.
Collins, Tom, et al.. (2017). Impaired Maintenance of Interpersonal Synchronization in Musical Improvisations of Patients with Borderline Personality Disorder. Frontiers in Psychology. 8. 537–537. 23 indexed citations
12.
Sutcliffe, Richard F. E., et al.. (2016). The C@merata task at MediaEval 2016: Natural Language Queries Derived from Exam Papers, Articles and Other Sources against Classical Music Scores in MusicXML.. MediaEval.
13.
Collins, Tom, et al.. (2015). DMUN at the MediaEval 2015 C@merata Task: The Stravinsqi Algorithm.. MediaEval. 1 indexed citations
14.
Collins, Tom, David Meredith, & Anja Volk. (2015). Mathematics and Computation in Music. Lecture notes in computer science. 7 indexed citations
15.
Collins, Tom, et al.. (2014). Bridging the Audio-Symbolic Gap: The Discovery of Repeated Note Content Directly from Polyphonic Music Audio. DMU Open Research Archive (De Montfort University). 17 indexed citations
16.
Collins, Tom, et al.. (2014). A combined model of sensory and cognitive representations underlying tonal expectations in music: From audio signals to behavior.. Psychological Review. 121(1). 33–65. 58 indexed citations
17.
Collins, Tom, Robin Laney, Alistair Willis, & Paul H. Garthwaite. (2011). Modeling Pattern Importance in Chopin's Mazurkas. Music Perception An Interdisciplinary Journal. 28(4). 387–414. 9 indexed citations
18.
Collins, Tom, Robin Laney, Alistair Willis, & Paul H. Garthwaite. (2011). Chopin, Mazurkas and Markov. Significance. 8(4). 154–159. 4 indexed citations
19.
Collins, Tom, Robin Laney, Alistair Willis, & Paul H. Garthwaite. (2010). Using discovered, polyphonic patterns to filter computer-generated music. Open Research Online (The Open University). 1–10. 1 indexed citations
20.
Collins, Tom, et al.. (1990). The Great Marketing Turnaround: The Age of the Individual--and How To Profit From It. Medical Entomology and Zoology. 43 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dan Tidhar Breakdown of academic impact, for papers by Pauline Rafferty Breakdown of academic impact, for papers by Cristina Robles Breakdown of academic impact, for papers by David Eargle Breakdown of academic impact, for papers by Menno van Zaanen Breakdown of academic impact, for papers by Nava Tintarev Breakdown of academic impact, for papers by Catherine Lai Breakdown of academic impact, for papers by Lonneke van der Plas Breakdown of academic impact, for papers by Patrick Juola Breakdown of academic impact, for papers by Khalil Sima’an
Rankless by CCL
2026