Pascal Sarda
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
Papers in
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- Statistical Methods and Inference 21
- Advanced Statistical Methods and Models 19
- Statistical Distribution Estimation and Applications 3
- Fuzzy Systems and Optimization 2
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- Control Systems and Identification 13
- Co-authors
- Frédéric Ferraty (7 shared papers)Hervé Cardot (14 shared papers)Wolfgang Karl Härdle (3 shared papers)Michel Lejeune (2 shared papers)André Mas (3 shared papers)Christophe Crambes (5 shared papers)Aloïs Kneip (5 shared papers)Philippe Vieu (5 shared papers)
In The Last Decade
Pascal Sarda
36 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Statistics and Probability 1.4k
- Statistics, Probability and Uncertainty 132
- Finance 173
- Artificial Intelligence 547
- Control and Systems Engineering 329
Countries citing papers authored by Pascal Sarda
This map shows the geographic impact of Pascal Sarda'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 Pascal Sarda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Sarda more than expected).
Fields of papers citing papers by Pascal Sarda
This network shows the impact of papers produced by Pascal Sarda. 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 Pascal Sarda. The network helps show where Pascal Sarda may publish in the future.
Co-authors
The 16 scholars most cited alongside Pascal Sarda, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 385 | |
| 2 | SPLINE ESTIMATORS FOR THE FUNCTIONAL LINEAR MODEL | 2003 | 331 |
| 3 | 1989 | 312 | |
| 4 | 2003 | 125 | |
| 5 | 1992 | 122 | |
| 6 | 2006 | 81 | |
| 7 | 2005 | 78 | |
| 8 | 2006 | 50 | |
| 9 | 1989 | 41 | |
| 10 | 2011 | 37 | |
| 11 | 2010 | 36 | |
| 12 | 1988 | 31 | |
| 13 | 2004 | 29 | |
| 14 | 2015 | 24 | |
| 15 | 2008 | 22 | |
| 16 | 2007 | 16 | |
| 17 | 2006 | 15 | |
| 18 | 2008 | 13 | |
| 19 | Approche non paramétrique en théorie de la fiabilité : revue bibliographique | 1986 | 12 |
| 20 | 2000 | 12 |
About Pascal Sarda
Pascal Sarda is a scholar working on Statistics and Probability, Control and Systems Engineering, Artificial Intelligence, Applied Mathematics and Statistics, Probability and Uncertainty, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (21 papers), Advanced Statistical Methods and Models (19 papers), Control Systems and Identification (13 papers), Statistical and numerical algorithms (5 papers), Bayesian Methods and Mixture Models (4 papers), Statistical Distribution Estimation and Applications (3 papers), Soil and Land Suitability Analysis (2 papers) and Fuzzy Systems and Optimization (2 papers). The work is most often cited by research in Statistics and Probability (1.4k citations), Statistics, Probability and Uncertainty (132 citations), Finance (173 citations), Artificial Intelligence (547 citations) and Control and Systems Engineering (329 citations). Pascal Sarda has collaborated with scholars based in France, Czechia and Italy. Frequent co-authors include Frédéric Ferraty, Hervé Cardot, Wolfgang Karl Härdle, Michel Lejeune, André Mas, Christophe Crambes, Aloïs Kneip, Philippe Vieu, Jaromı́r Antoch and Jan Mielniczuk. Their work appears in journals such as Computational Statistics & Data Analysis, The Annals of Statistics, Probability Theory and Related Fields, Comptes Rendus Mathématique and Test.
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.