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
-
- Advanced Statistical Methods and Models 12
- Statistical Methods and Inference 5
-
- Advanced Clustering Algorithms Research 4
- Co-authors
- Jean-Marie Bouroche (5 shared papers)Cristian Preda (8 shared papers)Maurizio Vichi (1 shared paper)Jean‐Claude Deville (1 shared paper)Heiko Schmaljohann (1 shared paper)Serge Zaugg (1 shared paper)Félix Liechti (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)Biometrics (2 papers)PLoS ONE (2 papers)
- Partner nations
- FranceChinaSwitzerland
In The Last Decade
Gilbert Saporta
66 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 174
- Statistics and Probability 272
- Analytical Chemistry 157
- Computational Mathematics 8
- Signal Processing 117
- Food Science 170
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 372 | |
| 2 | 2006 | 329 | |
| 3 | 2003 | 95 | |
| 4 | 2008 | 93 | |
| 5 | 2007 | 84 | |
| 6 | 2008 | 67 | |
| 7 | 2004 | 60 | |
| 8 | 2003 | 56 | |
| 9 | 2007 | 56 | |
| 10 | 2010 | 51 | |
| 11 | 2006 | 45 | |
| 12 | 1983 | 37 | |
| 13 | 2014 | 31 | |
| 14 | 2002 | 25 | |
| 15 | Théories et méthodes de la statistique | 1978 | 22 |
| 16 | 2016 | 19 | |
| 17 | 1981 | 17 | |
| 18 | 2007 | 16 | |
| 19 | 1985 | 13 | |
| 20 | 2009 | 13 |
About Gilbert Saporta
Gilbert Saporta is a scholar working on Statistics and Probability, Artificial Intelligence, Analytical Chemistry, Food Science and Management Science and Operations Research, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (15 papers), Advanced Statistical Methods and Models (12 papers), Sensory Analysis and Statistical Methods (11 papers), Advanced Statistical Process Monitoring (6 papers), Statistical Methods and Inference (5 papers), Fault Detection and Control Systems (5 papers), Radioactivity and Radon Measurements (4 papers) and Advanced Clustering Algorithms Research (4 papers). The work is most often cited by research in Statistics and Probability (272 citations), Analytical Chemistry (157 citations), Computational Mathematics (8 citations), Signal Processing (117 citations) and Food Science (170 citations). Gilbert Saporta has collaborated with scholars based in France, China and Switzerland. Frequent co-authors include Jean-Marie Bouroche, Cristian Preda, Maurizio Vichi, Jean‐Claude Deville, Heiko Schmaljohann, Serge Zaugg, Félix Liechti, E. Emiel van Loon, Dimitris Karlis 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, Biometrics and PLoS ONE.
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.