Odile Macchi

2.9k citations
96 papers · 1.7k · h-index 22

Impact in

Papers in

Odile Macchi

88 papers receiving 1.6k citations

Peers

Odile Macchi
Comparison fields: 5 of 99
  • Signal Processing 944
  • Computational Mechanics 728
  • Statistics and Probability 189
  • Analytical Chemistry 152
  • Computational Mathematics 9
Replace Philippe Loubaton with:
Philippe Loubaton France
Anders Lindquist Sweden
W. Morven Gentleman Canada
Esa Ollila Finland
A. Vieira United States
Marian Neamtu United States
A.O. Steinhardt United States
S. D. Riemenschneider Canada
E. Masry United States
E. W. Cheney United States
Odile Macchi relative to Philippe Loubaton France Philippe Loubaton's profile →
Citations per field
00.5×1.5×
Philippe Loubaton · 1×
Citations per year

Countries citing papers authored by Odile Macchi

Since Specialization
Citations

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

Fields of papers citing papers by Odile Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975258
2 1984128
3
Adaptive Processing: The Least Mean Squares Approach with Applications in Transmission
1995119
4 1983110
5 199896
6 199694
7 198684
8 198555
9 198750
10 198742
11 198442
12 197541
13 198141
14 199133
15 200232
16 200232
17 199126
18 199726
19 197224
20 201823

About Odile Macchi

Odile Macchi is a scholar working on Signal Processing, Computational Mechanics, Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (41 papers), Blind Source Separation Techniques (32 papers), Speech and Audio Processing (21 papers), Neural Networks and Applications (16 papers), Advanced Wireless Communication Techniques (9 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Structural Health Monitoring Techniques (7 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Signal Processing (944 citations), Computational Mechanics (728 citations), Statistics and Probability (189 citations), Analytical Chemistry (152 citations) and Computational Mathematics (9 citations). Odile Macchi has collaborated with scholars based in France, United States and Egypt. Frequent co-authors include E. Eweda, Éric Moreau, Christophe Laot, J. Labat, Eweda Eweda, Sylvie Marcos, N.J. Bershad, Louis L. Scharf, M. Jaïdane-Saïdane and B. Picinbono. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Information Theory, IEEE Transactions on Automatic Control and Signal Processing.

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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