Cathy Maugis

727 total citations
8 papers, 388 citations indexed

About

Cathy Maugis is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Cathy Maugis has authored 8 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Molecular Biology and 1 paper in Signal Processing. Recurrent topics in Cathy Maugis's work include Bayesian Methods and Mixture Models (7 papers), Advanced Clustering Algorithms Research (7 papers) and Gene expression and cancer classification (4 papers). Cathy Maugis is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Advanced Clustering Algorithms Research (7 papers) and Gene expression and cancer classification (4 papers). Cathy Maugis collaborates with scholars based in France. Cathy Maugis's co-authors include Gilles Celeux, Marie‐Laure Martin‐Magniette, Bertrand Michel and Mohammed Sedki and has published in prestigious journals such as Biometrics, Computational Statistics & Data Analysis and Journal of Multivariate Analysis.

In The Last Decade

Cathy Maugis

8 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cathy Maugis France 7 223 131 85 34 30 8 388
Abhijit Dasgupta United States 5 215 1.0× 80 0.6× 40 0.5× 39 1.1× 30 1.0× 6 340
Wei-Chien Chang United States 6 160 0.7× 98 0.7× 42 0.5× 59 1.7× 28 0.9× 12 321
Daniel Gervini United States 12 92 0.4× 303 2.3× 29 0.3× 24 0.7× 45 1.5× 19 479
Louis Ferré France 9 62 0.3× 155 1.2× 24 0.3× 35 1.0× 13 0.4× 16 319
T. Krishnan India 8 109 0.5× 64 0.5× 26 0.3× 47 1.4× 35 1.2× 28 301
Nathalie Villa France 5 76 0.3× 50 0.4× 39 0.5× 49 1.4× 20 0.7× 8 213
Raymond K. W. Wong United States 10 69 0.3× 124 0.9× 29 0.3× 21 0.6× 9 0.3× 27 328
Wendy L. Poston United States 9 137 0.6× 124 0.9× 21 0.2× 48 1.4× 18 0.6× 17 344

Countries citing papers authored by Cathy Maugis

Since Specialization
Citations

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

Fields of papers citing papers by Cathy Maugis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cathy Maugis

This figure shows the co-authorship network connecting the top 25 collaborators of Cathy Maugis. A scholar is included among the top collaborators of Cathy Maugis 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 Cathy Maugis. Cathy Maugis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Sedki, Mohammed, Gilles Celeux, & Cathy Maugis. (2014). SelvarMix: A R package for variable selection in model-based clustering and discriminant analysis with a regularization approach. 17. 6 indexed citations
2.
Maugis, Cathy, Gilles Celeux, & Marie‐Laure Martin‐Magniette. (2011). Variable selection in model-based discriminant analysis. Journal of Multivariate Analysis. 102(10). 1374–1387. 27 indexed citations
3.
Maugis, Cathy, et al.. (2011). Slope heuristics: overview and implementation. Statistics and Computing. 22(2). 455–470. 99 indexed citations
4.
Maugis, Cathy & Bertrand Michel. (2010). Data-driven penalty calibration: A case study for Gaussian mixture model selection. ESAIM Probability and Statistics. 15. 320–339. 13 indexed citations
5.
Maugis, Cathy, Gilles Celeux, & Marie‐Laure Martin‐Magniette. (2009). Variable Selection for Clustering with Gaussian Mixture Models. Biometrics. 65(3). 701–709. 149 indexed citations
6.
Maugis, Cathy, Gilles Celeux, & Marie‐Laure Martin‐Magniette. (2009). Variable selection in model-based clustering: A general variable role modeling. Computational Statistics & Data Analysis. 53(11). 3872–3882. 55 indexed citations
7.
Maugis, Cathy & Bertrand Michel. (2009). A non asymptotic penalized criterion for Gaussian mixture model selection. ESAIM Probability and Statistics. 15. 41–68. 32 indexed citations
8.
Maugis, Cathy & Bertrand Michel. (2008). Slope heuristics for variable selection and clustering via Gaussian mixtures. HAL (Le Centre pour la Communication Scientifique Directe). 7 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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