Simon Dixon

188 papers receiving 4.1k citations

Simon Dixon's Hit Papers

PYIN: A fundamental frequency estimator using probabilistic threshold distributions 2014 · 261 citations
2610+4+8Years since publication50100150200250

Peers

Simon Dixon
Comparison fields: 5 of 105
  • Signal Processing 3.4k
  • Music 227
  • Computer Vision and Pattern Recognition 765
  • Cognitive Neuroscience 224
  • Information Systems 275
Replace Anssi P. Klapuri with:
Anssi P. Klapuri Finland
Michael A. Casey United States
Ichiro Fujinaga Canada
Fabien Gouyon Portugal
Shlomo Dubnov United States
Yi‐Hsuan Yang Taiwan
Elias Pampalk Austria
Bryan Pardo United States
Bob L. T. Sturm Denmark
György Fazekas United Kingdom
Simon Dixon relative to Anssi P. Klapuri Finland Anssi P. Klapuri's profile →
Citations per field
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Anssi P. Klapuri · 1×
Citations per year

Countries citing papers authored by Simon Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Simon Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001277
2
PYIN: A fundamental frequency estimator using probabilistic threshold distributions
Hit paper breakdown →
2014261
3 2013217
4 2016183
5 2006175
6 2018172
7
A Survey of Music Recommendation Systems and Future Perspectives
2012123
8 2005120
9 2007112
10 2010101
11 200597
12 200993
13 201491
14 200489
15 200489
16
Evaluating Rhythmic descriptors for Musical Genre Classification
200485
17 201571
18 200370
19 201766
20 200363

About Simon Dixon

Simon Dixon is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Music, Cognitive Neuroscience and Artificial Intelligence, having authored 191 papers that have together received 4.6k indexed citations. Recurring topics across this work include Music and Audio Processing (152 papers), Music Technology and Sound Studies (40 papers), Neuroscience and Music Perception (15 papers), Musicology and Musical Analysis (11 papers), Diverse Music Education Insights (5 papers), Phonetics and Phonology Research (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Signal Processing (3.4k citations), Music (227 citations), Computer Vision and Pattern Recognition (765 citations), Cognitive Neuroscience (224 citations) and Information Systems (275 citations). Simon Dixon has collaborated with scholars based in United Kingdom, Austria and France. Frequent co-authors include Matthias Mauch, Emmanouil Benetos, Gerhard Widmer, Fabien Gouyon, Siddharth Sigtia, Anssi P. Klapuri, Elias Pampalk, Sebastian Ewert, Marcus Thomas Pearce and Holger Kirchhoff. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America, Journal of New Music Research, Computer Music Journal and PLoS ONE.

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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