Odile Macchi

2.8k total citations
96 papers, 1.7k citations indexed

About

Odile Macchi is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Odile Macchi has authored 96 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Signal Processing, 43 papers in Computational Mechanics and 28 papers in Artificial Intelligence. Recurrent topics in Odile Macchi's work include Advanced Adaptive Filtering Techniques (41 papers), Blind Source Separation Techniques (32 papers) and Speech and Audio Processing (21 papers). Odile Macchi is often cited by papers focused on Advanced Adaptive Filtering Techniques (41 papers), Blind Source Separation Techniques (32 papers) and Speech and Audio Processing (21 papers). Odile Macchi collaborates with scholars based in France, Egypt and United States. Odile Macchi's co-authors include E. Eweda, Éric Moreau, J. Labat, Christophe Laot, N.J. Bershad, Eweda Eweda, Sylvie Marcos, Louis L. Scharf, M. Jaïdane-Saïdane and B. Picinbono and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Odile Macchi

88 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Odile Macchi France 22 944 728 463 270 194 96 1.7k
Esa Ollila Finland 23 872 0.9× 282 0.4× 347 0.7× 197 0.7× 93 0.5× 93 1.8k
E. Masry United States 22 306 0.3× 359 0.5× 370 0.8× 523 1.9× 231 1.2× 66 1.7k
Antonio Napolitano Italy 20 914 1.0× 250 0.3× 303 0.7× 435 1.6× 479 2.5× 98 1.9k
Philippe Loubaton France 26 1.7k 1.8× 627 0.9× 382 0.8× 979 3.6× 183 0.9× 99 2.6k
W. Morven Gentleman Canada 17 438 0.5× 299 0.4× 410 0.9× 282 1.0× 150 0.8× 55 1.8k
Lars Eldén Sweden 26 176 0.2× 585 0.8× 198 0.4× 126 0.5× 122 0.6× 77 2.4k
C.T. Mullis United States 14 734 0.8× 355 0.5× 149 0.3× 189 0.7× 521 2.7× 39 1.5k
Massoud Babaie‐Zadeh Iran 24 828 0.9× 1.3k 1.7× 188 0.4× 280 1.0× 98 0.5× 94 2.2k
J.-J. Fuchs France 19 658 0.7× 739 1.0× 141 0.3× 208 0.8× 247 1.3× 49 1.5k
J. Woods United States 16 702 0.7× 301 0.4× 334 0.7× 132 0.5× 191 1.0× 46 2.3k

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-authorship network of co-authors of Odile Macchi

This figure shows the co-authorship network connecting the top 25 collaborators of Odile Macchi. A scholar is included among the top collaborators of Odile Macchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Odile Macchi. Odile Macchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sigaux, Johanna, Catherine Cavalin, Alain Lescoat, et al.. (2023). Are cleaning activities a source of exposure to crystalline silica in women with rheumatoid arthritis? A case–control study. RMD Open. 9(3). e003205–e003205. 5 indexed citations
2.
Borraz, Olivier, et al.. (2020). Peut-on apprendre à décider en jouant ?. Entreprises et histoire. n° 97(4). 110–129. 1 indexed citations
3.
Nathan, Nadia, Chiara Siléo, Alain Calender, et al.. (2018). Paediatric sarcoidosis. Paediatric Respiratory Reviews. 29. 53–59. 23 indexed citations
4.
Macchi, Odile. (2002). Dominique Monjardet Ce que fait la police, sociologie de la force. Persée (Ministère de lEnseignement supérieur et de la Recherche). 1 indexed citations
5.
Moreau, Éric & Odile Macchi. (2002). Two novel architectures for the self adaptive separation of signals. 2. 1154–1159. 1 indexed citations
6.
Moreau, Éric & Odile Macchi. (2002). New self-adaptative algorithms for source separation based on contrast functions. 215–219. 32 indexed citations
7.
Labat, J., Odile Macchi, & Christophe Laot. (1998). Adaptive decision feedback equalization: can you skip the training period?. IEEE Transactions on Communications. 46(7). 921–930. 96 indexed citations
8.
Macchi, Odile, et al.. (1997). A linear adaptive neural network for extraction of independent components. The European Symposium on Artificial Neural Networks. 261–266. 2 indexed citations
9.
Macchi, Odile & Éric Moreau. (1997). Self-adaptive source separation .I. Convergence analysis of a direct linear network controlled by the Herault-Jutten algorithm. IEEE Transactions on Signal Processing. 45(4). 918–926. 26 indexed citations
10.
Marcos, Sylvie, Odile Macchi, Christophe Vignat, et al.. (1992). A unified framework for gradient algorithms used for filter adaptation and neural network training. International Journal of Circuit Theory and Applications. 20(2). 159–200. 14 indexed citations
11.
Bershad, N.J. & Odile Macchi. (1991). Adaptive recovery of a chirped sinusoid in noise. II. Performance of the LMS algorithm. IEEE Transactions on Signal Processing. 39(3). 595–602. 33 indexed citations
12.
Macchi, Odile, N.J. Bershad, & Mamadou Mboup. (1991). Steady-state superiority of lms over ls for time-varying line enhancer in noisy environment. IEE Proceedings F Radar and Signal Processing. 138(4). 354–354. 26 indexed citations
13.
Macchi, Odile & M. Jaïdane-Saïdane. (1987). Stability of an Adaptive ARMA Predictor in Presence of Narrow-Band Input Signals. IFAC Proceedings Volumes. 20(2). 441–446. 4 indexed citations
14.
Macchi, Odile. (1984). Adaptive Equalization Of Time Varying Channels: What is meant By "Slow Variations".. International Conference on Communications. 1247–1249. 2 indexed citations
15.
Eweda, E. & Odile Macchi. (1983). Quadratic mean and almost-sure convergence of unbounded stochastic approximation algorithms with correlated observations. French digital mathematics library (Numdam). 19(3). 235–255. 18 indexed citations
16.
Macchi, Odile & E. Eweda. (1983). Second-order convergence analysis of stochastic adaptive linear filtering. IEEE Transactions on Automatic Control. 28(1). 76–85. 110 indexed citations
17.
Macchi, Odile. (1978). Résolution adaptative de l'équation de Wiener-Hopf. Cas d'un canal de données affecté de gigue. French digital mathematics library (Numdam). 14(3). 355–377. 2 indexed citations
18.
Arqués, Pierre-Yves, Odile Macchi, & G Vezzosi. (1973). Trois procédures de détectionestimation simultanées d’un signal. Annals of Telecommunications. 28(11-12). 459–468. 1 indexed citations
19.
Macchi, Odile, et al.. (1971). Un théorème d'itération stochastique multidimensionnelle. French digital mathematics library (Numdam). 7(3). 193–204. 1 indexed citations
20.
Macchi, Odile. (1970). Détection optimale d’un signal de temps d’arrivée inconnu et estimation de ce temps. Annals of Telecommunications. 25(7-8). 312–318. 2 indexed citations

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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