Dan Stowell

4.3k total citations · 3 hit papers
61 papers, 2.0k citations indexed

About

Dan Stowell is a scholar working on Signal Processing, Developmental Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dan Stowell has authored 61 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Signal Processing, 30 papers in Developmental Biology and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dan Stowell's work include Music and Audio Processing (40 papers), Animal Vocal Communication and Behavior (30 papers) and Speech and Audio Processing (22 papers). Dan Stowell is often cited by papers focused on Music and Audio Processing (40 papers), Animal Vocal Communication and Behavior (30 papers) and Speech and Audio Processing (22 papers). Dan Stowell collaborates with scholars based in United Kingdom, Netherlands and France. Dan Stowell's co-authors include Mark D. Plumbley, Dimitrios Giannoulis, Emmanouil Benetos, Mathieu Lagrange, Daniele Barchiesi, Hanna Pamuła, Hervé Glotin, Michael D. Wood, Yannis Stylianou and Lisa Gill and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Dan Stowell

56 papers receiving 1.9k citations

Hit Papers

Detection and Classification of Acoustic Scenes and Events 2015 2026 2018 2022 2015 2018 2022 100 200 300
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. Detection and Classification of Acoustic Scenes and Events
    2015 394 citations Dan Stowell, Emmanouil Benetos et al. profile →
  2. Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge
    2018 233 citations Dan Stowell et al. Methods in Ecology and Evolution profile →
  3. Computational bioacoustics with deep learning: a review and roadmap
    2022 199 citations Dan Stowell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Stowell United Kingdom 20 1.2k 883 516 403 311 61 2.0k
Michael Towsey Australia 25 818 0.7× 1.6k 1.8× 1.1k 2.2× 141 0.3× 98 0.3× 110 2.3k
Ilyas Potamitis Greece 25 666 0.5× 320 0.4× 243 0.5× 184 0.5× 306 1.0× 87 1.7k
Frank Kurth Germany 16 822 0.7× 222 0.3× 137 0.3× 601 1.5× 144 0.5× 63 1.0k
Aki Härmä Netherlands 18 959 0.8× 339 0.4× 110 0.2× 321 0.8× 246 0.8× 85 1.4k
Justin Salamon United States 28 3.2k 2.6× 530 0.6× 153 0.3× 1.7k 4.2× 667 2.1× 75 3.7k
Yannis Stylianou Greece 30 3.4k 2.8× 242 0.3× 217 0.4× 709 1.8× 2.7k 8.7× 191 4.4k
Todor Ganchev Greece 18 522 0.4× 235 0.3× 147 0.3× 182 0.5× 436 1.4× 111 1.4k
Juan Pablo Bello United States 37 4.2k 3.4× 565 0.6× 159 0.3× 2.6k 6.4× 818 2.6× 145 5.0k
Chang-Hsing Lee Taiwan 22 499 0.4× 246 0.3× 102 0.2× 806 2.0× 119 0.4× 70 1.4k
Eric P. Kasten United States 10 121 0.1× 362 0.4× 288 0.6× 65 0.2× 305 1.0× 26 971

Countries citing papers authored by Dan Stowell

Since Specialization
Citations

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

Fields of papers citing papers by Dan Stowell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Stowell

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Stowell. A scholar is included among the top collaborators of Dan Stowell 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 Dan Stowell. Dan Stowell 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.
2.
Kalkman, Vincent J., et al.. (2025). Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification. Scientific Reports. 15(1). 16273–16273.
3.
Benetos, Emmanouil, et al.. (2024). ATGNN: Audio Tagging Graph Neural Network. IEEE Signal Processing Letters. 31. 825–829. 5 indexed citations
4.
Liang, Jinhua, et al.. (2024). Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection. 1257–1261. 6 indexed citations
5.
Stowell, Dan, et al.. (2024). Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation. Sensors. 24(7). 2046–2046. 5 indexed citations
6.
Høye, Toke T., Tom August, Mario V. Balzan, et al.. (2023). Modern Approaches to the Monitoring of Biоdiversity (MAMBO). SHILAP Revista de lepidopterología. 9. 5 indexed citations
7.
Benetos, Emmanouil, et al.. (2023). Perceptual Musical Similarity Metric Learning with Graph Neural Networks. 30. 1–5.
8.
Stowell, Dan, et al.. (2023). Adaptive representations of sound for automatic insect recognition. PLoS Computational Biology. 19(10). e1011541–e1011541. 8 indexed citations
9.
Simon, Ralph, et al.. (2021). Acoustic traits of bat-pollinated flowers compared to flowers of other pollination syndromes and their echo-based classification using convolutional neural networks. PLoS Computational Biology. 17(12). e1009706–e1009706. 11 indexed citations
10.
Navarro, Joan, et al.. (2020). Low-Cost Distributed Acoustic Sensor Network for Real-Time Urban Sound Monitoring. Electronics. 9(12). 2119–2119. 21 indexed citations
11.
Stowell, Dan, et al.. (2020). Efficient Bird Sound Detection on the Bela Embedded System. Queen Mary Research Online (Queen Mary University of London). 746–750. 7 indexed citations
12.
Stowell, Dan, et al.. (2020). A harmonised, high-coverage, open dataset of solar photovoltaic installations in the UK. Scientific Data. 7(1). 394–394. 45 indexed citations
13.
Stowell, Dan & Jérôme Sueur. (2020). Ecoacoustics: acoustic sensing for biodiversity monitoring at scale. Remote Sensing in Ecology and Conservation. 6(3). 217–219. 41 indexed citations
14.
Stowell, Dan, Lisa Gill, & David F. Clayton. (2016). Detailed temporal structure of communication networks in groups of songbirds. Journal of The Royal Society Interface. 13(119). 20160296–20160296. 20 indexed citations
15.
Stowell, Dan. (2015). BirdCLEF 2015 Submission: Unsupervised Feature Learning from Audio.. CLEF (Working Notes). 1 indexed citations
16.
Stowell, Dan & Mark D. Plumbley. (2014). An Open Dataset for Research on Audio Field Recording Archives: freefield1010. Queen Mary Research Online (Queen Mary University of London). 13 indexed citations
17.
Stowell, Dan & Mark D. Plumbley. (2014). Audio-only bird classification using unsupervised feature learning. Surrey Research Insight Open Access (The University of Surrey). 673–684. 7 indexed citations
18.
Stowell, Dan & Mark D. Plumbley. (2012). Framewise heterodyne chirp analysis of birdsong. Surrey Research Insight Open Access (The University of Surrey). 2694–2698. 3 indexed citations
19.
Stowell, Dan. (2011). Scheduling and composing with Risset eternal accelerando rhythms. The Journal of the Abraham Lincoln Association. 2011. 2 indexed citations
20.
Stowell, Dan & Mark D. Plumbley. (2007). Adaptive whitening for improved real-time audio onset detection. The Journal of the Abraham Lincoln Association. 2007. 27 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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