B. Bessette

793 citations
19 papers · 474 indexed · h-index 10

B. Bessette

18 papers receiving 423 citations

Peers

B. Bessette
Comparison fields: 5 of 35
  • Signal Processing 334
  • Computer Vision and Pattern Recognition 335
  • Computational Mechanics 110
  • Artificial Intelligence 124
  • Computer Networks and Communications 86
Replace K. Järvinen with:
K. Järvinen Finland
Milan Jelínek Canada
Jean‐Pierre Petit France
E. Shlomot United States
Claude Lamblin France
D. Massaloux France
Gagan Rath France
Jelena Nikolić Serbia
V. Krishnan United States
Biing Hwang Juang United States
B. Bessette relative to K. Järvinen Finland K. Järvinen's profile →
Citations per field
00.5×1.5×
K. Järvinen · 1×
Citations per year

Countries citing papers authored by B. Bessette

Since Specialization
Citations

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

Fields of papers citing papers by B. Bessette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20171
2
A Novel Scheme for Low Bitrate Unified Speech and Audio Coding – MPEG RM0
200910
3
Efficient Cross-Fade Windows for Transitions between LPC-Based and Non-LPC Based Audio Coding
20092
4 200929
5 20083
6 20074
7 20069
8 200644
9 200422
10 20035
11 200310
12 20036
13 200235
14 2002214
15
The adaptive multirate wideband speech codec (AMR-WB)
20028
16 200213
17 20015
18 20015
19 199749

About B. Bessette

B. Bessette is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Networks and Communications and Artificial Intelligence, having authored 19 papers that have together received 474 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (19 papers), Speech and Audio Processing (13 papers), Advanced Adaptive Filtering Techniques (8 papers), Digital Filter Design and Implementation (5 papers), Wireless Communication Networks Research (4 papers), Speech Recognition and Synthesis (2 papers) and Advanced Wireless Communication Techniques (2 papers). The work is most often cited by research in Signal Processing (334 citations), Computer Vision and Pattern Recognition (335 citations), Computational Mechanics (110 citations), Artificial Intelligence (124 citations) and Computer Networks and Communications (86 citations). B. Bessette has collaborated with scholars based in Canada, Finland and South Korea. Frequent co-authors include R. Salami, Rémi Lefebvre, Milan Jelínek, J. Vainio, K. Järvinen, C. Laflamme, J.-P. Adoul, Stéphane Ragot, P. Ojala and Anas Abu Taleb. Their work appears in journals such as Journal of the Audio Engineering Society, IEEE Transactions on Speech and Audio Processing, IEEE Communications Magazine, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Medical Entomology and Zoology.

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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