Stéphane Maes

3.4k citations
35 papers · 179 · h-index 8

Impact in

Papers in

Stéphane Maes

31 papers receiving 157 citations

Peers

Stéphane Maes
Comparison fields: 5 of 36
  • Signal Processing 74
  • Artificial Intelligence 96
  • Information Systems 53
  • Computer Vision and Pattern Recognition 48
  • Computer Networks and Communications 44
Replace Guolei Yang with:
Guolei Yang United States
Narasimha Shashidhar United States
Keith Harrison United States
Sławomir Grzonkowski Ireland
André Årnes Norway
Ricardo Felipe Custódio Brazil
Vikram Nathan United States
Karima Boudaoud France
Stéphane Maes relative to Guolei Yang United States Guolei Yang's profile →
Citations per field
00.5×1.7×
Guolei Yang · 1×
Citations per year

Countries citing papers authored by Stéphane Maes

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Stéphane Maes, 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 Stéphane Maes Line = papers co-authored together Stéphane Maes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200119
2 200316
3 200716
4 200215
5 200011
6 200211
7 20028
8 20007
9 20016
10 20026
11 19946
12 20036
13 20015
14 19955
15
A Speech Biometrics System with Multi- Grained Speaker Modeling
20004
16
Push Extensions to the IMAP Protocol (P-IMAP)
20064
17 20034
18 19974
19
Edge characterization in hierarchical subband coding schemes
19923
20 20023

About Stéphane Maes

Stéphane Maes is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 35 papers that have together received 179 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (11 papers), Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (10 papers), Speech and dialogue systems (6 papers), Image and Signal Denoising Methods (5 papers), Mobile Agent-Based Network Management (5 papers), Music and Audio Processing (4 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Signal Processing (74 citations), Artificial Intelligence (96 citations), Information Systems (53 citations), Computer Vision and Pattern Recognition (48 citations) and Computer Networks and Communications (44 citations). Stéphane Maes has collaborated with scholars based in United States, Belgium and China. Frequent co-authors include Jiří Navrátil, T. V. Raman, Homayoon Beigi, Jeffrey Sorensen, Upendra V. Chaudhari, Ramesh A. Gopinath, Hui Lei, R. Bakis, Jim Christensen and Maria Ebling. Their work appears in journals such as IEEE Wireless Communications, IEEE Transactions on Speech and Audio Processing, SIAM Journal on Applied Mathematics, The Journal of the Acoustical Society of America and IEICE Technical Report; IEICE Tech. Rep..

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.

Explore authors with similar magnitude of impact