Vincent Lostanlen

1.2k total citations
35 papers, 401 citations indexed

About

Vincent Lostanlen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Developmental Biology. According to data from OpenAlex, Vincent Lostanlen has authored 35 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Developmental Biology. Recurrent topics in Vincent Lostanlen's work include Music and Audio Processing (25 papers), Speech and Audio Processing (20 papers) and Animal Vocal Communication and Behavior (10 papers). Vincent Lostanlen is often cited by papers focused on Music and Audio Processing (25 papers), Speech and Audio Processing (20 papers) and Animal Vocal Communication and Behavior (10 papers). Vincent Lostanlen collaborates with scholars based in France, United States and United Kingdom. Vincent Lostanlen's co-authors include Juan Pablo Bello, Justin Salamon, Andrew Farnsworth, Steve Kelling, Joakim Andén, Mark Cartwright, Stéphane Mallat, Philip Warrick, Masun Nabhan Homsi and Mathieu Lagrange and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Vincent Lostanlen

28 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Lostanlen France 11 250 142 82 73 55 35 401
Claudia Isaza Colombia 12 115 0.5× 177 1.2× 69 0.8× 121 1.7× 11 0.2× 35 473
Rajeev Rajan India 12 235 0.9× 72 0.5× 86 1.0× 28 0.4× 20 0.4× 82 459
Giambattista Parascandolo Finland 7 444 1.8× 84 0.6× 200 2.4× 22 0.3× 43 0.8× 9 580
Emre Çakır Finland 7 622 2.5× 100 0.7× 268 3.3× 22 0.3× 61 1.1× 11 729
Hanna Lukashevich Germany 10 199 0.8× 82 0.6× 140 1.7× 67 0.9× 31 0.6× 27 360
Münevver Köküer United Kingdom 10 198 0.8× 142 1.0× 30 0.4× 52 0.7× 25 0.5× 42 296
Konstantinos Drossos Finland 10 168 0.7× 46 0.3× 72 0.9× 14 0.2× 59 1.1× 31 284
Turab Iqbal United Kingdom 9 626 2.5× 63 0.4× 321 3.9× 13 0.2× 54 1.0× 11 832
Jean-François Motsch France 10 62 0.2× 45 0.3× 15 0.2× 123 1.7× 64 1.2× 29 295

Countries citing papers authored by Vincent Lostanlen

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Lostanlen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Lostanlen

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Lostanlen. A scholar is included among the top collaborators of Vincent Lostanlen 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 Vincent Lostanlen. Vincent Lostanlen 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.
Lostanlen, Vincent, et al.. (2025). S-KEY: Self-supervised Learning of Major and Minor Keys from Audio. 1–5.
2.
Han, Han, Vincent Lostanlen, & Mathieu Lagrange. (2024). Learning to Solve Inverse Problems for Perceptual Sound Matching. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2605–2615. 1 indexed citations
3.
Farrugia, Nicolas, et al.. (2024). Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. SPIRE - Sciences Po Institutional REpository. 1282–1286.
4.
Lostanlen, Vincent, et al.. (2024). Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement. 5013–5017.
5.
6.
Han, Han, Vincent Lostanlen, & Mathieu Lagrange. (2023). Perceptual–Neural–Physical Sound Matching. SPIRE - Sciences Po Institutional REpository. 1–5. 2 indexed citations
7.
Lostanlen, Vincent, et al.. (2023). Explainable audio Classification of Playing Techniques with Layer-wise Relevance Propagation. SPIRE - Sciences Po Institutional REpository. 1–5. 4 indexed citations
8.
Warrick, Philip, Vincent Lostanlen, Michael Eickenberg, et al.. (2022). Arrhythmia classification of 12-lead and reduced-lead electrocardiograms via recurrent networks, scattering, and phase harmonic correlation. Physiological Measurement. 43(9). 94002–94002. 4 indexed citations
9.
Benetos, Emmanouil, et al.. (2022). Adaptive Scattering Transforms for Playing Technique Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 1407–1421. 8 indexed citations
10.
Lostanlen, Vincent, et al.. (2021). Energy Efficiency is Not Enough: Towards a Batteryless Internet of Sounds. SPIRE - Sciences Po Institutional REpository.
11.
Lostanlen, Vincent, et al.. (2021). Polyphonic training set synthesis improves self-supervised urban sound classification. The Journal of the Acoustical Society of America. 149(6). 4309–4326. 10 indexed citations
12.
Warrick, Philip, et al.. (2020). Arrhythmia classification of 12-lead Electrocardiograms by Hybrid Scattering-LSTM networks. Computing in cardiology. 47. 12 indexed citations
13.
Lostanlen, Vincent, et al.. (2020). Chirping up the Right Tree: Incorporating Biological Taxonomies into Deep Bioacoustic Classifiers. 901–905. 23 indexed citations
14.
Warrick, Philip, Vincent Lostanlen, & Masun Nabhan Homsi. (2019). Hybrid scattering-LSTM networks for automated detection of sleep arousals. Physiological Measurement. 40(7). 74001–74001. 18 indexed citations
15.
Cartwright, Mark, Vincent Lostanlen, Graham Dove, et al.. (2019). SONYC Urban Sound Tagging (SONYC-UST): A Multilabel Dataset from an Urban Acoustic Sensor Network. Faculty Digital Archive (New York University Florence). 35 indexed citations
16.
Andén, Joakim, Vincent Lostanlen, & Stéphane Mallat. (2019). Joint Time–Frequency Scattering. IEEE Transactions on Signal Processing. 67(14). 3704–3718. 36 indexed citations
17.
Lostanlen, Vincent, Justin Salamon, Andrew Farnsworth, Steve Kelling, & Juan Pablo Bello. (2019). Robust sound event detection in bioacoustic sensor networks. PLoS ONE. 14(10). e0214168–e0214168. 59 indexed citations
18.
Lostanlen, Vincent, Joakim Andén, & Mathieu Lagrange. (2019). Fourier at the heart of computer music: From harmonic sounds to texture. Comptes Rendus Physique. 20(5). 461–473. 5 indexed citations
19.
Farnsworth, Andrew, Vincent Lostanlen, Justin Salamon, et al.. (2019). Automating Acoustic Monitoring of Nocturnally Migrating Birds: BirdVox and the Integration of Citizen Science and Radar Data to Enhance Evolving Paradigms. 2019. 1 indexed citations
20.
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

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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