Mathieu Lagrange

58 papers receiving 1.1k citations

Hit Papers

Detection and Classification of Acoustic Scenes and Events 2015 · 394 citations
3942015202620182022100200300

Peers

Mathieu Lagrange
Comparison fields: 5 of 88
  • Signal Processing 866
  • Developmental Biology 127
  • Computer Vision and Pattern Recognition 401
  • Speech and Hearing 107
  • Music 35
Replace Karol J. Piczak with:
Karol J. Piczak Poland
Christopher Jacoby Switzerland
Toni Heittola Finland
Qiuqiang Kong United Kingdom
Máximo Cobos Spain
Turab Iqbal United Kingdom
Joan Claudi Socoró Spain
Robert C. Maher United States
Huy Dat Tran Singapore
Katsutoshi Itoyama Japan
Mathieu Lagrange relative to Karol J. Piczak Poland Karol J. Piczak's profile →
Citations per field
00.5×3.7×
Karol J. Piczak · 1×
Citations per year

Countries citing papers authored by Mathieu Lagrange

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Lagrange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 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 2017198
3 202050
4 202347
5 202042
6 200825
7 201023
8 200721
9 201619
10 201818
11 200717
12 201317
13 201515
14 201215
15 201614
16 201913
17 202212
18 200710
19 202110
20 201510

About Mathieu Lagrange

Mathieu Lagrange is a scholar working on Signal Processing, Speech and Hearing, Computer Vision and Pattern Recognition, Developmental Biology and Cognitive Neuroscience, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Music and Audio Processing (46 papers), Speech and Audio Processing (42 papers), Music Technology and Sound Studies (27 papers), Noise Effects and Management (12 papers), Speech Recognition and Synthesis (8 papers), Hearing Loss and Rehabilitation (6 papers), Acoustic Wave Phenomena Research (6 papers) and Vehicle Noise and Vibration Control (4 papers). The work is most often cited by research in Signal Processing (866 citations), Developmental Biology (127 citations), Computer Vision and Pattern Recognition (401 citations), Speech and Hearing (107 citations) and Music (35 citations). Mathieu Lagrange has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Emmanouil Benetos, Mark D. Plumbley, Dimitrios Giannoulis, Dan Stowell, Toni Heittola, Tuomas Virtanen, Annamaria Mesaros, Peter Foster, George Tzanetakis and Arnaud Can. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Audio Speech and Language Processing, Journal of the Audio Engineering Society and IEEE Internet of Things Journal.

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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