Tom Collins

31 papers receiving 526 citations

Peers

Tom Collins
Comparison fields: 5 of 113
  • Music 54
  • Signal Processing 174
  • Cognitive Neuroscience 181
  • Computer Vision and Pattern Recognition 156
  • Communication 50
Replace Francesco Barbieri with:
Francesco Barbieri Spain
Dan Tidhar United Kingdom
Marcin Skowron Austria
Nicolas Ruwet France
Menno van Zaanen Netherlands
Catherine Lai United Kingdom
Cristina Robles Spain
Khalil Sima’an Netherlands
Patrick Juola United States
Lonneke van der Plas Switzerland
Tom Collins relative to Francesco Barbieri Spain Francesco Barbieri's profile →
Citations per field
00.5×7.0×
Francesco Barbieri · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022121
2 201466
3 201751
4
The Great Marketing Turnaround: The Age of the Individual--and How To Profit From It
199049
5 202247
6 201526
7 201723
8 201023
9
Bridging the Audio-Symbolic Gap: The Discovery of Repeated Note Content Directly from Polyphonic Music Audio
201421
10 201317
11 202316
12 201716
13 201113
14 201511
15 202210
16 20227
17 20157
18 20147
19 20216
20
Report of the Independent Salmon Fishing Group. Established to Examine the Implications of Alignment with the Scientific Advice for the Commercial Salmon Fishing Sector in 2007 and Beyond.
20066

About Tom Collins

Tom Collins is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Communication and Music, having authored 32 papers that have together received 565 indexed citations. Recurring topics across this work include Music and Audio Processing (21 papers), Music Technology and Sound Studies (20 papers), Neuroscience and Music Perception (14 papers), Radio, Podcasts, and Digital Media (3 papers), Diverse Musicological Studies (2 papers), Media, Journalism, and Communication History (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Music (54 citations), Signal Processing (174 citations), Cognitive Neuroscience (181 citations), Computer Vision and Pattern Recognition (156 citations) and Communication (50 citations). Tom Collins has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Robin Laney, Peter M. C. Harrison, Daniel Müllensiefen, Alistair Willis, Paul H. Garthwaite, Petr Janata, Barbara Tillmann, Frederick S. Barrett, Gerhard Widmer and Anne‐Claude Gingras. Their work appears in journals such as Psychological Review, Frontiers in Psychology, Artificial intelligence for engineering design analysis and manufacturing, ACM Transactions on Multimedia Computing Communications and Applications and Language Resources and Evaluation.

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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