Brian McFee

6.1k total citations · 1 hit paper
57 papers, 3.3k citations indexed

About

Brian McFee is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Brian McFee has authored 57 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Signal Processing, 38 papers in Computer Vision and Pattern Recognition and 18 papers in Artificial Intelligence. Recurrent topics in Brian McFee's work include Music and Audio Processing (39 papers), Music Technology and Sound Studies (25 papers) and Speech and Audio Processing (15 papers). Brian McFee is often cited by papers focused on Music and Audio Processing (39 papers), Music Technology and Sound Studies (25 papers) and Speech and Audio Processing (15 papers). Brian McFee collaborates with scholars based in United States, France and Austria. Brian McFee's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image Processing.

In The Last Decade

Brian McFee

56 papers receiving 3.1k citations

Hit Papers

librosa: Audio and Music Signal Analysis in Python 2015 2026 2018 2022 2015 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. librosa: Audio and Music Signal Analysis in Python
    2015 1.7k citations Brian McFee, Colin Raffel et al. Proceedings of the Python in Science Conferences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian McFee United States 23 2.3k 1.6k 987 387 306 57 3.3k
Manoj Plakal United States 6 2.3k 1.0× 1.4k 0.9× 1.0k 1.0× 277 0.7× 246 0.8× 7 3.5k
Colin Raffel United States 18 1.6k 0.7× 1.2k 0.8× 2.1k 2.1× 311 0.8× 312 1.0× 41 3.9k
Aren Jansen United States 24 3.2k 1.4× 1.5k 1.0× 2.2k 2.2× 305 0.8× 373 1.2× 68 4.6k
Jort F. Gemmeke Belgium 20 3.4k 1.5× 1.5k 1.0× 1.7k 1.7× 349 0.9× 287 0.9× 85 4.5k
Dawen Liang United States 11 1.5k 0.7× 965 0.6× 1.4k 1.4× 275 0.7× 297 1.0× 27 3.3k
Oriol Nieto United States 15 1.8k 0.8× 893 0.6× 616 0.6× 332 0.9× 302 1.0× 34 2.3k
Ron J. Weiss United States 31 3.8k 1.7× 1.2k 0.8× 3.9k 3.9× 306 0.8× 328 1.1× 53 6.2k
Rif A. Saurous United States 12 2.2k 1.0× 901 0.6× 2.0k 2.1× 166 0.4× 280 0.9× 16 3.5k
Juan Pablo Bello United States 37 4.2k 1.8× 2.6k 1.7× 818 0.8× 817 2.1× 104 0.3× 145 5.0k
Xavier Serra Spain 32 3.5k 1.5× 2.5k 1.6× 813 0.8× 946 2.4× 93 0.3× 235 4.2k

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-authorship network of co-authors of Brian McFee

This figure shows the co-authorship network connecting the top 25 collaborators of Brian McFee. A scholar is included among the top collaborators of Brian McFee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian McFee. Brian McFee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McFee, Brian, et al.. (2024). Self-Supervised Learning of Multi-Level Audio Representations for Music Segmentation. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2141–2152.
2.
McFee, Brian, et al.. (2021). Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students. IEEE Signal Processing Magazine. 38(3). 73–84. 16 indexed citations
3.
Huppenkothen, Daniela, et al.. (2020). Entrofy your cohort: A transparent method for diverse cohort selection. PLoS ONE. 15(7). e0231939–e0231939. 2 indexed citations
4.
McFee, Brian, et al.. (2019). Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion. 201–205. 8 indexed citations
5.
Lostanlen, Vincent, Justin Salamon, Mark Cartwright, et al.. (2018). Per-Channel Energy Normalization: Why and How. IEEE Signal Processing Letters. 26(1). 39–43. 54 indexed citations
6.
McFee, Brian, Jong Wook Kim, Mark Cartwright, et al.. (2018). Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research. IEEE Signal Processing Magazine. 36(1). 128–137. 27 indexed citations
7.
McFee, Brian, Oriol Nieto, Morwaread Farbood, & Juan Pablo Bello. (2017). Evaluating Hierarchical Structure in Music Annotations. Frontiers in Psychology. 8. 1337–1337. 17 indexed citations
8.
McFee, Brian & Juan Pablo Bello. (2017). Structured Training For Large-Vocabulary Chord Recognition.. Zenodo (CERN European Organization for Nuclear Research). 188–194. 43 indexed citations
9.
Bittner, Rachel, Brian McFee, Justin Salamon, Peter Li, & Juan Pablo Bello. (2017). Deep Salience Representations For F0 Estimation In Polyphonic Music.. Zenodo (CERN European Organization for Nuclear Research). 63–70. 80 indexed citations
10.
McFee, Brian, Eric J. Humphrey, & Julián Urbano. (2016). A plan for sustainable MIR evaluation. International Symposium/Conference on Music Information Retrieval. 285–291. 5 indexed citations
11.
McFee, Brian, Colin Raffel, Dawen Liang, et al.. (2015). librosa: Audio and Music Signal Analysis in Python. Proceedings of the Python in Science Conferences. 18–24. 1676 indexed citations breakdown →
12.
McFee, Brian, Oriol Nieto, & Juan Pablo Bello. (2015). Hierarchical Evaluation Of Segment Boundary Detection.. Zenodo (CERN European Organization for Nuclear Research). 406–412. 10 indexed citations
13.
McFee, Brian, Matt McVicar, Colin Raffel, et al.. (2015). librosa: 0.4.1. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations
14.
McFee, Brian, Eric J. Humphrey, & Juan Pablo Bello. (2015). A Software Framework For Musical Data Augmentation.. Zenodo (CERN European Organization for Nuclear Research). 248–254. 52 indexed citations
15.
Raffel, Colin, Brian McFee, Eric J. Humphrey, et al.. (2014). Mir_Eval: A Transparent Implementation Of Common Mir Metrics.. Zenodo (CERN European Organization for Nuclear Research). 367–372. 190 indexed citations
16.
Lanckriet, Gert, et al.. (2013). Robust Structural Metric Learning. International Conference on Machine Learning. 615–623. 62 indexed citations
17.
McFee, Brian & Gert Lanckriet. (2012). Hypergraph Models Of Playlist Dialects.. Zenodo (CERN European Organization for Nuclear Research). 343–348. 46 indexed citations
18.
McFee, Brian & Gert Lanckriet. (2010). Metric Learning to Rank. eScholarship (California Digital Library). 775–782. 188 indexed citations
19.
McFee, Brian, Carolina Galleguillos, & Gert Lanckriet. (2010). Contextual Object Localization With Multiple Kernel Nearest Neighbor. IEEE Transactions on Image Processing. 20(2). 570–585. 23 indexed citations
20.
McFee, Brian & Gert Lanckriet. (2009). Heterogeneous Embedding For Subjective Artist Similarity.. Zenodo (CERN European Organization for Nuclear Research). 513–518. 25 indexed citations

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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