Éric Moreau

3.1k citations
125 papers · 1.7k · h-index 22

Impact in

Papers in

Éric Moreau

117 papers receiving 1.6k citations

Peers

Éric Moreau
Comparison fields: 5 of 115
  • Computational Mathematics 90
  • Signal Processing 1.0k
  • Analytical Chemistry 471
  • Computational Mechanics 294
  • Computer Vision and Pattern Recognition 263
Replace Yingsong Li with:
Yingsong Li China
Ping Zhong China
F. Anouar France
Jisheng Dai China
Hao Shen Germany
Esa Ollila Finland
Salah Bourennane France
Abd‐Krim Seghouane Australia
Luxin Yan China
Sudhish N. George India
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Citations per field
00.5×6.9×
Yingsong Li · 1×
Citations per year

Countries citing papers authored by Éric Moreau

Since Specialization
Citations

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

Fields of papers citing papers by Éric Moreau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001119
2 199694
3 201894
4 200686
5 201485
6 201668
7 202161
8 200745
9 199745
10 201142
11 200639
12 200236
13 199933
14 199633
15 200232
16 200232
17 200731
18 199726
19 199926
20 200424

About Éric Moreau

Éric Moreau is a scholar working on Signal Processing, Analytical Chemistry, Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 125 papers that have together received 1.7k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (85 papers), Speech and Audio Processing (38 papers), Spectroscopy and Chemometric Analyses (32 papers), Advanced Adaptive Filtering Techniques (22 papers), Image and Signal Denoising Methods (20 papers), Neural Networks and Applications (12 papers), Tensor decomposition and applications (9 papers) and Fire Detection and Safety Systems (8 papers). The work is most often cited by research in Computational Mathematics (90 citations), Signal Processing (1.0k citations), Analytical Chemistry (471 citations), Computational Mechanics (294 citations) and Computer Vision and Pattern Recognition (263 citations). Éric Moreau has collaborated with scholars based in France, Morocco and Tunisia. Frequent co-authors include Odile Macchi, Jean‐Christophe Pesquet, Marc Castella, Jean‐Marc Ginoux, Pierre Comon, Mounir Sayadi, Christophe Chazelas, Moez Bouchouicha, A. Vardelle and Gilles Mariaux. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, Signal Processing, Electronics and Geoderma.

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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