Gilbert Saporta
Impact in
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Spectroscopy and Chemometric Analyses 13
-
- Advanced Statistical Methods and Models 9
- Co-authors
- Jean-Marie Bouroche (5 shared papers)Cristian Preda (6 shared papers)Maurizio Vichi (1 shared paper)Dimitris Karlis (1 shared paper)Jean‐Claude Deville (1 shared paper)Félix Liechti (1 shared paper)Heiko Schmaljohann (1 shared paper)E. Emiel van Loon (1 shared paper)
- Journals
- Computational Statistics & Data Analysis (6 papers)Advances in Data Analysis and Classification (5 papers)Applied Radiation and Isotopes (3 papers)Chemometrics and Intelligent Laboratory Systems (2 papers)Biometrics (2 papers)
- Partner nations
- FranceChinaSwitzerland
In The Last Decade
Gilbert Saporta
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 181
- Statistics and Probability 246
- Analytical Chemistry 135
- Computational Mathematics 7
- Developmental Biology 20
- Signal Processing 92
Countries citing papers authored by Gilbert Saporta
This map shows the geographic impact of Gilbert Saporta'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 Gilbert Saporta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilbert Saporta more than expected).
Fields of papers citing papers by Gilbert Saporta
This network shows the impact of papers produced by Gilbert Saporta. 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 Gilbert Saporta. The network helps show where Gilbert Saporta may publish in the future.
Co-authors
The 25 scholars most cited alongside Gilbert Saporta, 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 | 1991 | 336 | |
| 2 | 2006 | 291 | |
| 3 | 2003 | 86 | |
| 4 | 2008 | 85 | |
| 5 | 2007 | 78 | |
| 6 | 2008 | 59 | |
| 7 | 2003 | 54 | |
| 8 | 2004 | 54 | |
| 9 | 2010 | 49 | |
| 10 | 2007 | 46 | |
| 11 | 2006 | 42 | |
| 12 | 1983 | 33 | |
| 13 | 2014 | 27 | |
| 14 | Théories et méthodes de la statistique | 1978 | 21 |
| 15 | 2016 | 18 | |
| 16 | 1981 | 17 | |
| 17 | 2007 | 15 | |
| 18 | 2015 | 11 | |
| 19 | 1985 | 11 | |
| 20 | 2016 | 10 |
About Gilbert Saporta
Gilbert Saporta is a scholar working on Analytical Chemistry, Statistics and Probability, Food Science, Artificial Intelligence and Control and Systems Engineering, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (13 papers), Advanced Statistical Methods and Models (9 papers), Sensory Analysis and Statistical Methods (9 papers), Fault Detection and Control Systems (5 papers), Advanced Statistical Process Monitoring (4 papers), Nuclear reactor physics and engineering (4 papers), Radioactivity and Radon Measurements (4 papers) and Water Quality Monitoring and Analysis (4 papers). The work is most often cited by research in Statistics and Probability (246 citations), Analytical Chemistry (135 citations), Computational Mathematics (7 citations), Developmental Biology (20 citations) and Signal Processing (92 citations). Gilbert Saporta has collaborated with scholars based in France, China and Switzerland. Frequent co-authors include Jean-Marie Bouroche, Cristian Preda, Maurizio Vichi, Dimitris Karlis, Jean‐Claude Deville, Félix Liechti, Heiko Schmaljohann, E. Emiel van Loon, Serge Zaugg and Ana M. Aguilera. Their work appears in journals such as Computational Statistics & Data Analysis, Advances in Data Analysis and Classification, Applied Radiation and Isotopes, Chemometrics and Intelligent Laboratory Systems and Biometrics.
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.