Frédéric Ferraty
Impact in
- Statistics and Probability top 0.05%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
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- Advanced Statistical Process Monitoring
Papers in
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- Statistical Methods and Inference 36
- Advanced Statistical Methods and Models 25
- Statistical Methods and Bayesian Inference 7
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- Bayesian Methods and Mixture Models 10
- Co-authors
- Philippe Vieu (36 shared papers)Pascal Sarda (5 shared papers)Hervé Cardot (4 shared papers)Ali Laksaci (5 shared papers)André Mas (2 shared papers)Ingrid Van Keilegom (2 shared papers)Aldo Goia (3 shared papers)Sophie Dabo‐Niang (3 shared papers)
In The Last Decade
Frédéric Ferraty
56 papers receiving 4.1k citations
Frédéric Ferraty's Hit Papers
Peers
Comparison fields: 5 of 135
- Statistics and Probability 3.2k
- Statistics, Probability and Uncertainty 309
- Artificial Intelligence 1.4k
- Finance 405
- Analytical Chemistry 368
Countries citing papers authored by Frédéric Ferraty
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
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-authors
The 25 scholars most cited alongside Frédéric Ferraty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nonparametric functional data analysis : theory and practice Hit paper breakdown → | 2006 | 670 |
| 2 | Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics) | 2006 | 395 |
| 3 | 1999 | 360 | |
| 4 | SPLINE ESTIMATORS FOR THE FUNCTIONAL LINEAR MODEL | 2003 | 316 |
| 5 | 2003 | 209 | |
| 6 | 2002 | 180 | |
| 7 | 2007 | 158 | |
| 8 | 2009 | 135 | |
| 9 | 2004 | 122 | |
| 10 | 2003 | 114 | |
| 11 | 2009 | 111 | |
| 12 | 2008 | 96 | |
| 13 | 2009 | 92 | |
| 14 | 2006 | 91 | |
| 15 | 2007 | 80 | |
| 16 | 2008 | 76 | |
| 17 | 2012 | 68 | |
| 18 | 2009 | 63 | |
| 19 | 2012 | 62 | |
| 20 | 1997 | 60 |
About Frédéric Ferraty
Frédéric Ferraty is a scholar working on Statistics and Probability, Artificial Intelligence, Analytical Chemistry, Finance and Mathematical Physics, having authored 57 papers that have together received 4.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (36 papers), Advanced Statistical Methods and Models (25 papers), Bayesian Methods and Mixture Models (10 papers), Spectroscopy and Chemometric Analyses (8 papers), Statistical Methods and Bayesian Inference (7 papers), Financial Risk and Volatility Modeling (6 papers), Soil Geostatistics and Mapping (4 papers) and Control Systems and Identification (3 papers). The work is most often cited by research in Statistics and Probability (3.2k citations), Statistics, Probability and Uncertainty (309 citations), Artificial Intelligence (1.4k citations), Finance (405 citations) and Analytical Chemistry (368 citations). Frédéric Ferraty has collaborated with scholars based in France, Spain and Algeria. Frequent 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 P. Hall. Their work appears in journals such as Comptes Rendus Mathématique, Computational Statistics & Data Analysis, Journal of Multivariate Analysis, Test and Econometrics and Statistics.
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.