Benoit Maison

454 citations
37 papers · 360 · h-index 12

Impact in

Papers in

Benoit Maison

36 papers receiving 317 citations

Peers

Benoit Maison
Comparison fields: 5 of 33
  • Signal Processing 208
  • Computer Vision and Pattern Recognition 152
  • Artificial Intelligence 185
  • Human-Computer Interaction 14
  • Experimental and Cognitive Psychology 17
Replace Stefan Ortmanns with:
Stefan Ortmanns Germany
Thomas Kemp Germany
Andrew Morris Switzerland
Yochai Konig United States
Bartosz Ziółko Poland
Enrico Bocchieri United States
Jerneja Žganec Gros Slovenia
Daniel González-Jiménez Spain
César Laurent Canada
Gabriel Mittag Germany
Benoit Maison relative to Stefan Ortmanns Germany Stefan Ortmanns's profile →
Citations per field
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Citations per year

Countries citing papers authored by Benoit Maison

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Maison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200442
2 199440
3 199434
4 199925
5 200224
6 199920
7 200019
8 200218
9 200417
10 200315
11
On the use of visual information for improving audio-based speaker recognition.
199913
12
Joint processing of audio and visual information for multimedia indexing and human-computer interaction
200012
13 200311
14 20029
15 20027
16 20027
17 19986
18 20036
19 20015
20 19974

About Benoit Maison

Benoit Maison is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology and Computer Graphics and Computer-Aided Design, having authored 37 papers that have together received 360 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (11 papers), Advanced Vision and Imaging (9 papers), Music and Audio Processing (8 papers), Video Coding and Compression Technologies (8 papers), Image and Signal Denoising Methods (8 papers), Speech and Audio Processing (8 papers), Advanced Data Compression Techniques (7 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Signal Processing (208 citations), Computer Vision and Pattern Recognition (152 citations), Artificial Intelligence (185 citations), Human-Computer Interaction (14 citations) and Experimental and Cognitive Psychology (17 citations). Benoit Maison has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Luc Vandendorpe, Scott Axelrod, P. Delogne, C. Neti, Gopinath Rajendiran, Andrew Senior, Maria Paula Queluz, Sabine Deligne, S.F. Chen and Giridharan Iyengar. Their work appears in journals such as IEEE Transactions on Image Processing, Signal Processing Image Communication, IEEE Transactions on Speech and Audio Processing, IEEE Signal Processing Letters and IEEE Transactions on Communications.

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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