Mathieu Fontaine

713 citations
53 papers · 353 indexed · h-index 12
Topics
Speech and Audio Processing (23 papers)Blind Source Separation Techniques (13 papers)Speech Recognition and Synthesis (9 papers)
Partner nations
FranceJapanUnited States

In The Last Decade

Mathieu Fontaine

44 papers receiving 338 citations

Peers

Mathieu Fontaine
Comparison fields: 5 of 105
  • Astronomy and Astrophysics 86
  • Signal Processing 73
  • Epidemiology 64
  • Molecular Biology 62
  • Instrumentation 45
Replace M. V. Pruzhinskaya with:
M. V. Pruzhinskaya Russia
A. Volnova Russia
Konstantin Malanchev Russia
Christoffer Petersson Sweden
C. Brindle United States
Jennifer C. Yee United States
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Ryan Miranda United States
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Steve Kroon South Africa
Mathieu Fontaine relative to M. V. Pruzhinskaya Russia M. V. Pruzhinskaya's profile →
Citations per field
00.5×10×20×31×
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-authorship network of co-authors of Mathieu Fontaine

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Fontaine. A scholar is included among the top collaborators of Mathieu Fontaine 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 Mathieu Fontaine. Mathieu Fontaine 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
#WorkIndexed citations
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12 21
13 9
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19
FUSE Observations of Germanium, Zirconium and Lead in Sdb Stars
3
20
Analysis of the FUSE Spectra of the He-Poor SDO Star MCT 0019-2441
1

About Mathieu Fontaine

Mathieu Fontaine is a scholar working on Signal Processing, Instrumentation and Internal Medicine, having authored 53 papers that have together received 353 indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Blind Source Separation Techniques (13 papers) and Speech Recognition and Synthesis (9 papers). The work is most often cited by research in Instrumentation (45 citations), Signal Processing (73 citations) and Astronomy and Astrophysics (86 citations). Mathieu Fontaine has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Aditya Arie Nugraha, Kazuyoshi Yoshii, Yoshiaki Bando, Kouhei Sekiguchi, G. Fontaine, P. Chayer, F. Wesemaël, Fabienne Venet, J. Dupuis and Alain Lepape. Their work appears in journals such as PLoS ONE, The Astrophysical Journal and Critical Care Medicine.

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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