Brian McFee

6.2k citations
58 papers · 4.1k · 1 hit paper · h-index 25

Impact in

Papers in

Brian McFee

55 papers receiving 3.9k citations

Brian McFee's Hit Papers

librosa: Audio and Music Signal Analysis in Python 2015 · 2.1k citations
2.1k0+3+7Years since publication5001k1.5k2k

Peers

Brian McFee
Comparison fields: 5 of 113
  • Signal Processing 1.8k
  • Computer Vision and Pattern Recognition 566
  • Experimental and Cognitive Psychology 400
  • Artificial Intelligence 746
  • Developmental Biology 41
Replace Dawen Liang with:
Dawen Liang United States
Colin Raffel United States
Oriol Nieto United States
Matt McVicar United Kingdom
Eric Battenberg United States
Michael A. Casey United States
Justin Salamon United States
Juan Pablo Bello United States
Manoj Plakal United States
Emmanouil Benetos United Kingdom
Brian McFee relative to Dawen Liang United States Dawen Liang's profile →
Citations per field
00.5×2×3×4×5.0×
Dawen Liang · 1×
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 58 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 →
20152083
2 2014218
3
Metric Learning to Rank
2010214
4 2012127
5 2018114
6 2017103
7 201299
8 201578
9 201572
10 201065
11
Robust Structural Metric Learning
201365
12 201865
13 201164
14 201254
15 201743
16 201440
17 201837
18 201431
19 200930
20 202030

About Brian McFee

Brian McFee is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Architecture, having authored 58 papers that have together received 4.1k indexed citations. Recurring topics across this work include Music and Audio Processing (35 papers), Recommender Systems and Techniques (8 papers), Music Technology and Sound Studies (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Speech and Audio Processing (4 papers), Advanced Neural Network Applications (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Signal Processing (1.8k citations), Computer Vision and Pattern Recognition (566 citations), Experimental and Cognitive Psychology (400 citations), Artificial Intelligence (746 citations) and Developmental Biology (41 citations). Brian McFee has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Daniel P. W. Ellis, Oriol Nieto, Gert R. G. Lanckriet, Dawen Liang, Colin Raffel, Eric Battenberg, Matt McVicar, 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, IEEE Signal Processing Letters, International Journal of Computer Vision and IEEE Transactions on Audio Speech and Language Processing.

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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