Matt McVicar

3.4k citations
23 papers · 2.0k · 1 hit paper · h-index 9

Impact in

Papers in

Matt McVicar

22 papers receiving 1.9k citations

Matt McVicar's Hit Papers

librosa: Audio and Music Signal Analysis in Python 2015 · 1.7k citations
1.7k0+3+7Years since publication50010001.5k

Peers

Matt McVicar
Comparison fields: 5 of 116
  • Signal Processing 1.4k
  • Developmental Biology 139
  • Computer Vision and Pattern Recognition 653
  • Music 80
  • Experimental and Cognitive Psychology 313
Replace Eric Battenberg with:
Eric Battenberg United States
Oriol Nieto United States
Brian McFee United States
Sourish Chaudhuri United States
Rif A. Saurous United States
Marvin Ritter United States
Shawn Hershey United States
Jort F. Gemmeke Belgium
Aren Jansen United States
Qiuqiang Kong United Kingdom
Matt McVicar relative to Eric Battenberg United States Eric Battenberg's profile →
Citations per field
00.5×1.5×
Eric Battenberg · 1×
Citations per year

Countries citing papers authored by Matt McVicar

Since Specialization
Citations

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

Fields of papers citing papers by Matt McVicar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Matt McVicar, 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 Matt McVicar Line = papers co-authored together Matt McVicar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
librosa: Audio and Music Signal Analysis in Python
Hit paper breakdown →
20151745
2 201441
3 201234
4 201328
5 201423
6 201122
7 201817
8 201514
9 20148
10 20147
11 20157
12 20166
13 20115
14 20115
15 20124
16 20163
17 20103
18 20152
19 20142
20
HARMONY PROGRESSION ANALYZER FOR MIREX 2011
20142

About Matt McVicar

Matt McVicar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and General Health Professions, having authored 23 papers that have together received 2.0k indexed citations. Recurring topics across this work include Music and Audio Processing (17 papers), Music Technology and Sound Studies (12 papers), Speech and Audio Processing (9 papers), Neuroscience and Music Perception (5 papers), Advanced Text Analysis Techniques (2 papers), Speech Recognition and Synthesis (2 papers), Hermeneutics and Narrative Identity (1 paper) and Copyright and Intellectual Property (1 paper). The work is most often cited by research in Signal Processing (1.4k citations), Developmental Biology (139 citations), Computer Vision and Pattern Recognition (653 citations), Music (80 citations) and Experimental and Cognitive Psychology (313 citations). Matt McVicar has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Daniel P. W. Ellis, Dawen Liang, Brian McFee, Oriol Nieto, Colin Raffel, Eric Battenberg, Tijl De Bie, Raúl Santos‐Rodríguez, Yizhao Ni and Masataka Goto. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Audio Speech and Language Processing, Pattern Recognition Letters, Journal of New Music Research and International Symposium/Conference on Music Information Retrieval.

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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