D. Massaloux

939 citations
21 papers · 564 · h-index 8

Impact in

Papers in

D. Massaloux

21 papers receiving 514 citations

Peers

D. Massaloux
Comparison fields: 5 of 39
  • Signal Processing 428
  • Computer Vision and Pattern Recognition 322
  • Computational Mechanics 162
  • Artificial Intelligence 193
  • Computer Graphics and Computer-Aided Design 15
Replace B. Bessette with:
B. Bessette Canada
K. Järvinen Finland
E. Shlomot United States
Milan Jelinek Canada
Claude Lamblin France
Michael Gormish United States
Jinjia Zhou Japan
Martin P. Boliek United States
Fabian Mentzer Switzerland
Thomas Maugey France
D. Massaloux relative to B. Bessette Canada B. Bessette's profile →
Citations per field
00.5×
B. Bessette · 1×
Citations per year

Countries citing papers authored by D. Massaloux

Since Specialization
Citations

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

Fields of papers citing papers by D. Massaloux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997232
2 1998126
3 199469
4 200744
5 198116
6 198811
7 20048
8 20038
9
Adaptive RD Optimized Hybrid Sound Coding
20087
10 20067
11 20027
12 20055
13
A Scalable Three Bit Rate (8, 14.2, and 24 kbit/s) Audio Coder
19994
14 20054
15 20074
16 20033
17 19953
18 20022
19 20022
20 20031

About D. Massaloux

D. Massaloux is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Computer Networks and Communications and Computational Mechanics, having authored 21 papers that have together received 564 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (19 papers), Speech and Audio Processing (8 papers), Advanced Wireless Communication Techniques (7 papers), Digital Filter Design and Implementation (5 papers), Wireless Communication Networks Research (4 papers), Advanced Adaptive Filtering Techniques (4 papers), Algorithms and Data Compression (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Signal Processing (428 citations), Computer Vision and Pattern Recognition (322 citations), Computational Mechanics (162 citations), Artificial Intelligence (193 citations) and Computer Graphics and Computer-Aided Design (15 citations). D. Massaloux has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Claude Lamblin, E. Shlomot, Jean‐Pierre Petit, A. Benyassine, Huan-yu Su, R. Salami, J.-P. Adoul, C. Laflamme, P. Kroon and Y. Shoham. Their work appears in journals such as Journal of the Audio Engineering Society, IEEE Transactions on Vehicular Technology, IEEE Transactions on Speech and Audio Processing, Speech Communication and IEEE Communications Magazine.

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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