Christophe Beaugeant

703 citations
51 papers · 483 · h-index 13

Impact in

Papers in

Christophe Beaugeant

47 papers receiving 440 citations

Peers

Christophe Beaugeant
Comparison fields: 5 of 40
  • Signal Processing 438
  • Computational Mechanics 313
  • Cognitive Neuroscience 82
  • Artificial Intelligence 118
  • Computer Vision and Pattern Recognition 47
Replace Alexandre Guérin with:
Alexandre Guérin France
Robert Aichner Germany
C. Marro France
Alastair H. Moore United Kingdom
Marco Jeub Germany
Oliver Thiergart Germany
Masahito Togami Japan
Maja Taseska Germany
Liming Shi China
Jan Mark de Haan Denmark
Christophe Beaugeant relative to Alexandre Guérin France Alexandre Guérin's profile →
Citations per field
00.5×3.8×
Alexandre Guérin · 1×
Citations per year

Countries citing papers authored by Christophe Beaugeant

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Beaugeant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Christophe Beaugeant, 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 Christophe Beaugeant Line = papers co-authored together Christophe Beaugeant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201253
2 200147
3
Blind estimation of the coherent-to-diffuse energy ratio from noisy speech signals
201142
4 199840
5 201124
6 201019
7
Do We Need Dereverberation for Hand-Held Telephony?
201018
8 201317
9 200315
10 200214
11 200114
12 201413
13 201113
14
Robust dual-channel noise power spectral density estimation
201112
15 20179
16 20029
17 20159
18 20039
19 20129
20 20149

About Christophe Beaugeant

Christophe Beaugeant is a scholar working on Signal Processing, Computational Mechanics, Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 51 papers that have together received 483 indexed citations. Recurring topics across this work include Speech and Audio Processing (45 papers), Advanced Adaptive Filtering Techniques (35 papers), Music and Audio Processing (11 papers), Blind Source Separation Techniques (10 papers), Acoustic Wave Phenomena Research (9 papers), Speech Recognition and Synthesis (9 papers), Advanced Data Compression Techniques (7 papers) and Hearing Loss and Rehabilitation (5 papers). The work is most often cited by research in Signal Processing (438 citations), Computational Mechanics (313 citations), Cognitive Neuroscience (82 citations), Artificial Intelligence (118 citations) and Computer Vision and Pattern Recognition (47 citations). Christophe Beaugeant has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Peter Vary, Marco Jeub, Pascal Scalart, Nicholas Evans, G. Faucon, Christian Herglotz, André Gilloire, Tim Fingscheidt, Giovanni Soldi and Radu Bălan. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, Signal Processing, IEEE Communications Magazine, Journal of Electrical and Computer Engineering and INFM-OAR (INFN Catania).

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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