Frédéric Ferraty

6.5k total citations · 1 hit paper
59 papers, 4.3k citations indexed

About

Frédéric Ferraty is a scholar working on Statistics and Probability, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Frédéric Ferraty has authored 59 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 8 papers in Analytical Chemistry. Recurrent topics in Frédéric Ferraty's work include Statistical Methods and Inference (36 papers), Advanced Statistical Methods and Models (25 papers) and Bayesian Methods and Mixture Models (10 papers). Frédéric Ferraty is often cited by papers focused on Statistical Methods and Inference (36 papers), Advanced Statistical Methods and Models (25 papers) and Bayesian Methods and Mixture Models (10 papers). Frédéric Ferraty collaborates with scholars based in France, Spain and Algeria. Frédéric Ferraty's co-authors include Philippe Vieu, Pascal Sarda, Hervé Cardot, Ali Laksaci, André Mas, Ingrid Van Keilegom, Aldo Goia, Sophie Dabo‐Niang, Jorge Barrientos Marín and Yves Romain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrika and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Frédéric Ferraty

58 papers receiving 4.2k citations

Hit Papers

Nonparametric functional data analysis : theory and practice 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Ferraty France 32 3.3k 1.5k 545 421 376 59 4.3k
Philippe Vieu France 39 4.2k 1.3× 1.9k 1.3× 721 1.3× 657 1.6× 387 1.0× 120 5.6k
Peter Hall Australia 36 3.1k 0.9× 1.2k 0.8× 366 0.7× 397 0.9× 168 0.4× 108 4.6k
R. L. Eubank United States 28 2.4k 0.7× 695 0.5× 510 0.9× 353 0.8× 165 0.4× 84 4.1k
Ricardo A. Maronna Argentina 23 2.8k 0.9× 727 0.5× 406 0.7× 268 0.6× 309 0.8× 61 4.7k
Muni S. Srivastava Canada 33 2.6k 0.8× 943 0.6× 207 0.4× 232 0.6× 145 0.4× 164 4.4k
Jinchi Lv United States 17 2.3k 0.7× 1.1k 0.7× 257 0.5× 327 0.8× 74 0.2× 42 3.9k
Jeffrey D. Hart United States 29 1.8k 0.6× 506 0.3× 272 0.5× 472 1.1× 97 0.3× 88 2.9k
Ricardo Fraiman Uruguay 27 1.6k 0.5× 777 0.5× 167 0.3× 146 0.3× 161 0.4× 88 2.7k
É. A. Nadaraya Georgia 6 1.4k 0.4× 805 0.6× 376 0.7× 312 0.7× 56 0.1× 24 3.0k
Katrien Van Driessen Belgium 5 1.5k 0.5× 860 0.6× 261 0.5× 103 0.2× 309 0.8× 5 3.2k

Countries citing papers authored by Frédéric Ferraty

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Ferraty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Ferraty

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Ferraty. A scholar is included among the top collaborators of Frédéric Ferraty 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 Frédéric Ferraty. Frédéric Ferraty 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.
Pigoli, Davide, et al.. (2023). Estimation of temperature-dependent growth profiles for the assessment of time of hatching in forensic entomology. Journal of the Royal Statistical Society Series C (Applied Statistics). 72(2). 231–253. 3 indexed citations
2.
Ferraty, Frédéric, et al.. (2018). Data depth for measurable noisy random functions. Journal of Multivariate Analysis. 170. 95–114. 11 indexed citations
3.
Ferraty, Frédéric, et al.. (2017). Nonparametric regression on contaminated functional predictor with application to hyperspectral data. Econometrics and Statistics. 9. 95–107. 4 indexed citations
4.
Ferraty, Frédéric, Ingrid Van Keilegom, & Philippe Vieu. (2012). Regression when both response and predictor are functions. Journal of Multivariate Analysis. 109. 10–28. 68 indexed citations
5.
Ferraty, Frédéric, et al.. (2012). Estimation de la fonction de régression pour variable explicative et réponse fonctionnelles dépendantes. Comptes Rendus Mathématique. 350(13-14). 717–720. 5 indexed citations
6.
Ferraty, Frédéric, et al.. (2011). Richesse et complexité des données fonctionnelles.. 43. 25–43. 5 indexed citations
7.
Ferraty, Frédéric. (2011). Recent Advances in Functional Data Analysis and Related Topics. HAL (Le Centre pour la Communication Scientifique Directe). 85 indexed citations
8.
Paegelow, Martin, et al.. (2011). Modélisations prospectives de l’occupation du sol. Le cas d’une montagne méditerranéenne. SHILAP Revista de lepidopterología. 9 indexed citations
9.
Ferraty, Frédéric, et al.. (2011). Kernel regression with functional response. Electronic Journal of Statistics. 5(none). 58 indexed citations
10.
Ferraty, Frédéric, et al.. (2010). Structural test in regression on functional variables. Journal of Multivariate Analysis. 102(3). 422–447. 28 indexed citations
11.
Ferraty, Frédéric. (2009). High-dimensional data: a fascinating statistical challenge. Journal of Multivariate Analysis. 101(2). 305–306. 23 indexed citations
12.
Ferraty, Frédéric, et al.. (2008). Cross-validated estimations in the single-functional index model. Statistics. 42(6). 475–494. 94 indexed citations
13.
Ferraty, Frédéric, et al.. (2008). Choix optimal du paramètre fonctionnel dans le modèle à indice fonctionnel simple. Comptes Rendus Mathématique. 346(3-4). 217–220. 2 indexed citations
14.
Ferraty, Frédéric, et al.. (2008). Convergence de l'estimateur à noyau des k plus proches voisins en régression fonctionnelle non-paramétrique. Comptes Rendus Mathématique. 346(5-6). 339–342. 2 indexed citations
15.
Ferraty, Frédéric & Philippe Vieu. (2006). Nonparametric functional data analysis : theory and practice. CERN Document Server (European Organization for Nuclear Research). 671 indexed citations breakdown →
16.
Ferraty, Frédéric & Philippe Vieu. (2004). Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination. Journal of nonparametric statistics. 16(1-2). 111–125. 121 indexed citations
17.
Dabo‐Niang, Sophie, Frédéric Ferraty, & Philippe Vieu. (2004). Estimation du mode dans un espace vectoriel semi-normé. Comptes Rendus Mathématique. 339(9). 659–662. 4 indexed citations
18.
Ferraty, Frédéric, et al.. (2003). Modèle à indice fonctionnel simple. Comptes Rendus Mathématique. 336(12). 1025–1028. 44 indexed citations
19.
Ferraty, Frédéric, Aldo Goia, & Philippe Vieu. (2002). Régression non-paramétrique pour des variables aléatoires fonctionnelles mélangeantes. Comptes Rendus Mathématique. 334(3). 217–220. 5 indexed citations
20.
Ferraty, Frédéric, et al.. (2001). Regresión No Paramétrica: Desde la Dimensión Uno Hasta la Dimensión Infinita. RePEc: Research Papers in Economics. 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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