Dan Stowell

4.3k citations
61 papers · 2.0k indexed · 3 hit papers · h-index 20

Impact in

Papers in

Dan Stowell

56 papers receiving 1.9k citations

Hit Papers

Computational bioacoustics with deep learning: a review and roadmap 2022 · 199 citations
1992015202620182022100200300

Peers

Dan Stowell
Comparison fields: 5 of 118
  • Developmental Biology 883
  • Signal Processing 1.2k
  • Ecological Modeling 106
  • Music 66
  • Ecology 516
Replace Michael Towsey with:
Michael Towsey Australia
Ilyas Potamitis Greece
Yannis Stylianou Greece
Justin Salamon United States
Frank Kurth Germany
Aki Härmä Netherlands
Juan Pablo Bello United States
Jie Xie China
Chang-Hsing Lee Taiwan
Todor Ganchev Greece
Dan Stowell relative to Michael Towsey Australia Michael Towsey's profile →
Citations per field
00.5×1.5×1.8×
Michael Towsey · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detection and Classification of Acoustic Scenes and Events
Hit paper breakdown →
2015394
2 2015256
3
Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge
Hit paper breakdown →
2018233
4
Computational bioacoustics with deep learning: a review and roadmap
Hit paper breakdown →
2022199
5 2014193
6 201961
7 200948
8 202045
9 202041
10 201736
11 200934
12 202328
13
Adaptive whitening for improved real-time audio onset detection
200727
14 201827
15
Birdsong and C4DM: A survey of UK birdsong and machine recognition for music researchers
201123
16 201322
17 201522
18 202021
19 201620
20 202119

About Dan Stowell

Dan Stowell is a scholar working on Developmental Biology, Signal Processing, Music, Computer Vision and Pattern Recognition and Ecological Modeling, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Music and Audio Processing (40 papers), Animal Vocal Communication and Behavior (30 papers), Speech and Audio Processing (22 papers), Marine animal studies overview (15 papers), Music Technology and Sound Studies (14 papers), Animal Behavior and Reproduction (4 papers), Neuroscience and Music Perception (3 papers) and Species Distribution and Climate Change (3 papers). The work is most often cited by research in Developmental Biology (883 citations), Signal Processing (1.2k citations), Ecological Modeling (106 citations), Music (66 citations) and Ecology (516 citations). Dan Stowell has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Mark D. Plumbley, Dimitrios Giannoulis, Emmanouil Benetos, Mathieu Lagrange, Daniele Barchiesi, Hanna Pamuła, Hervé Glotin, Yannis Stylianou, Michael D. Wood and Lisa Gill. Their work appears in journals such as Methods in Ecology and Evolution, PLoS Computational Biology, Sensors, PeerJ and Journal of The Royal Society Interface.

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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