Mathieu Fontaine

732 citations
52 papers · 370 · h-index 12

Impact in

    • Astronomy and Astrophysical Research
    • Speech and Audio Processing
    • Blind Source Separation Techniques
    • Music and Audio Processing

Papers in

Mathieu Fontaine

47 papers receiving 356 citations

Peers

Mathieu Fontaine
Comparison fields: 5 of 92
  • Instrumentation 45
  • Signal Processing 78
  • Astronomy and Astrophysics 89
  • Rehabilitation 14
  • Critical Care and Intensive Care Medicine 8
Replace M. V. Pruzhinskaya with:
M. V. Pruzhinskaya Russia
A. Volnova Russia
Konstantin Malanchev Russia
Xinfeng Xu United States
D. Fernández Spain
Jorge J. Betancor Spain
Fan Zou China
W. A. van Cappellen Netherlands
F. Arias France
Zhu Chen China
Mathieu Fontaine relative to M. V. Pruzhinskaya Russia M. V. Pruzhinskaya's profile →
Citations per field
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M. V. Pruzhinskaya · 1×
Citations per year

Countries citing papers authored by Mathieu Fontaine

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Fontaine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200852
2 201427
3 200623
4 202122
5 201821
6 202320
7 201119
8 202016
9 201414
10 200813
11 201613
12 200412
13 200910
14 20219
15 19657
16 20087
17 20167
18 20246
19 20116
20 20226

About Mathieu Fontaine

Mathieu Fontaine is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Molecular Biology and Instrumentation, having authored 52 papers that have together received 370 indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Blind Source Separation Techniques (13 papers), Speech Recognition and Synthesis (9 papers), Advanced Adaptive Filtering Techniques (8 papers), Music and Audio Processing (8 papers), Astronomy and Astrophysical Research (5 papers), S100 Proteins and Annexins (4 papers) and Stellar, planetary, and galactic studies (4 papers). The work is most often cited by research in Instrumentation (45 citations), Signal Processing (78 citations), Astronomy and Astrophysics (89 citations), Rehabilitation (14 citations) and Critical Care and Intensive Care Medicine (8 citations). Mathieu Fontaine has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Kazuyoshi Yoshii, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, P. Chayer, G. Fontaine, F. Wesemaël, Alain Lepape, J. Dupuis and François Ravat. Their work appears in journals such as The Astrophysical Journal, Burns, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters and BMC Gastroenterology.

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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