Brian McFee

56 papers receiving 3.1k citations

Hit Papers

librosa: Audio and Music Signal Analysis in Python 2015 · 1.7k citations
1.7k201520262018202250010001.5k

Peers

Brian McFee
Comparison fields: 5 of 134
  • Signal Processing 2.3k
  • Developmental Biology 194
  • Computer Vision and Pattern Recognition 1.6k
  • Music 149
  • Artificial Intelligence 987
Replace Aren Jansen with:
Aren Jansen United States
Colin Raffel United States
Jort F. Gemmeke Belgium
Manoj Plakal United States
Dawen Liang United States
Oriol Nieto United States
Ron J. Weiss United States
Xavier Serra Spain
Juan Pablo Bello United States
Matt McVicar United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Brian McFee

Since Specialization
Citations

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

Fields of papers citing papers by Brian McFee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 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 →
20151676
2 2014190
3
Metric Learning to Rank
2010188
4 2012100
5 201888
6 201282
7 201780
8 201077
9
Robust Structural Metric Learning
201362
10 201056
11 201156
12 201854
13 201552
14 201246
15 201743
16 201436
17 201428
18 202128
19 201827
20 201826

About Brian McFee

Brian McFee is a scholar working on Signal Processing, Music, Computer Vision and Pattern Recognition, Artificial Intelligence and General Decision Sciences, having authored 57 papers that have together received 3.3k indexed citations. Recurring topics across this work include Music and Audio Processing (39 papers), Music Technology and Sound Studies (25 papers), Speech and Audio Processing (15 papers), Advanced Image and Video Retrieval Techniques (7 papers), Neuroscience and Music Perception (6 papers), Diverse Musicological Studies (6 papers), Speech Recognition and Synthesis (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Signal Processing (2.3k citations), Developmental Biology (194 citations), Computer Vision and Pattern Recognition (1.6k citations), Music (149 citations) and Artificial Intelligence (987 citations). Brian McFee has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Gert Lanckriet, Daniel P. W. Ellis, Oriol Nieto, Colin Raffel, Dawen Liang, Matt McVicar, Eric Battenberg, Juan Pablo Bello, Justin Salamon and Eric J. Humphrey. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE/ACM Transactions on Audio Speech and Language Processing, PLoS ONE, IEEE Transactions on Image Processing and Frontiers in Psychology.

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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