Gilbert Saporta

3.6k total citations
57 papers, 1.5k citations indexed

About

Gilbert Saporta is a scholar working on Analytical Chemistry, Statistics and Probability and Food Science. According to data from OpenAlex, Gilbert Saporta has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Analytical Chemistry, 12 papers in Statistics and Probability and 10 papers in Food Science. Recurrent topics in Gilbert Saporta's work include Spectroscopy and Chemometric Analyses (13 papers), Sensory Analysis and Statistical Methods (9 papers) and Advanced Statistical Methods and Models (9 papers). Gilbert Saporta is often cited by papers focused on Spectroscopy and Chemometric Analyses (13 papers), Sensory Analysis and Statistical Methods (9 papers) and Advanced Statistical Methods and Models (9 papers). Gilbert Saporta collaborates with scholars based in France, China and Switzerland. Gilbert Saporta's co-authors include Jean-Marie Bouroche, Cristian Preda, Maurizio Vichi, Dimitris Karlis, Serge Zaugg, Heiko Schmaljohann, E. Emiel van Loon, Jean‐Claude Deville, Félix Liechti and Ana M. Aguilera and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biometrics.

In The Last Decade

Gilbert Saporta

54 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gilbert Saporta France 16 246 238 139 135 128 57 1.5k
Alexander J. Collins United Kingdom 9 356 1.4× 257 1.1× 222 1.6× 202 1.5× 186 1.5× 16 2.5k
Kathleen Kocherlakota Canada 9 398 1.6× 278 1.2× 82 0.6× 96 0.7× 89 0.7× 23 1.5k
K. Ruben Gabriel United States 20 309 1.3× 145 0.6× 140 1.0× 129 1.0× 178 1.4× 44 2.2k
Richard R. Picard United States 10 198 0.8× 174 0.7× 42 0.3× 115 0.9× 108 0.8× 30 1.8k
Kuldeep Kumar Australia 24 221 0.9× 486 2.0× 67 0.5× 67 0.5× 71 0.6× 179 2.6k
Tarald O. Kvålseth United States 17 209 0.8× 253 1.1× 43 0.3× 59 0.4× 193 1.5× 86 2.5k
Charles L. Dunn United States 7 137 0.6× 137 0.6× 56 0.4× 66 0.5× 74 0.6× 22 1.4k
J. Brian Gray United States 15 470 1.9× 178 0.7× 49 0.4× 99 0.7× 137 1.1× 33 2.7k
Mariano J. Valderrama Spain 20 543 2.2× 203 0.9× 32 0.2× 197 1.5× 70 0.5× 56 1.2k
Hervé Cardot France 23 1.1k 4.4× 487 2.0× 81 0.6× 136 1.0× 141 1.1× 65 2.0k

Countries citing papers authored by Gilbert Saporta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gilbert Saporta

This figure shows the co-authorship network connecting the top 25 collaborators of Gilbert Saporta. A scholar is included among the top collaborators of Gilbert Saporta 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 Gilbert Saporta. Gilbert Saporta 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.
Ruggeri, Fabrizio, David Banks, William S. Cleveland, et al.. (2025). Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?. Applied Stochastic Models in Business and Industry. 41(2).
2.
Saporta, Gilbert, et al.. (2025). Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods. Engineering Applications of Artificial Intelligence. 144. 110144–110144. 4 indexed citations
3.
Saporta, Gilbert, et al.. (2024). Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness. SHILAP Revista de lepidopterología. 37. 2 indexed citations
4.
Chevance, Astrid, Laura Temime, Patrick Légeron, et al.. (2022). A new ranking index to identify the work-related psychosocial factors most impacting mental health: a cross-sectional study. BMJ Open. 12(12). e046444–e046444.
5.
Magistris, Matteo, et al.. (2020). A Bayesian framework to update scaling factors for radioactive waste characterization. Applied Radiation and Isotopes. 159. 109092–109092. 2 indexed citations
6.
Magistris, Matteo, et al.. (2017). A new approach to characterize very-low-level radioactive waste produced at hadron accelerators. Applied Radiation and Isotopes. 122. 141–147. 6 indexed citations
7.
Magistris, Matteo, et al.. (2017). Uncertainty quantification applied to the radiological characterization of radioactive waste. Applied Radiation and Isotopes. 127. 142–149. 5 indexed citations
8.
Bougeard, Stéphanie, et al.. (2017). Clusterwise analysis for multiblock component methods. Advances in Data Analysis and Classification. 12(2). 285–313. 8 indexed citations
9.
Hassani, Hossein, Gilbert Saporta, & Emmanuel Sirimal Silva. (2014). Data Mining and Official Statistics: The Past, the Present and the Future. Big Data. 2(1). 34–43. 27 indexed citations
10.
Berger, L., Marc J.‐M. Macé, Jean‐Baptiste Ricco, & Gilbert Saporta. (2012). Methodology for the evaluation of vascular surgery manpower in France. Public Health. 127(1). 65–71. 5 indexed citations
11.
Fogliatto, Flávio S., et al.. (2009). Contrôle multivarié de procédés par lots à l'aide de Statis. 3 indexed citations
12.
Bouroche, Jean-Marie & Gilbert Saporta. (2006). L'analyse discriminante. Cairn.info. 109–124. 3 indexed citations
13.
Bouroche, Jean-Marie & Gilbert Saporta. (2006). L'analyse en composantes principales. 17–47. 3 indexed citations
14.
Bouroche, Jean-Marie & Gilbert Saporta. (2006). L'analyse factorielle des correspondances. Cairn.info. 83–108. 1 indexed citations
15.
Preda, Cristian & Gilbert Saporta. (2004). Clusterwise PLS regression on a stochastic process. Computational Statistics & Data Analysis. 49(1). 99–108. 54 indexed citations
16.
Karlis, Dimitris, et al.. (2003). A Simple Rule for the Selection of Principal Components. Communication in Statistics- Theory and Methods. 32(3). 643–666. 54 indexed citations
17.
Lauro, Carlo di, Jaromı́r Antoch, Vincenzo Esposito Vinzi, & Gilbert Saporta. (2002). Multivariate total quality control : foundation and recent advances. SPIRE - Sciences Po Institutional REpository. 8 indexed citations
18.
Saporta, Gilbert. (1980). About some remarkable properties of generalized canonical analysis. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
19.
Saporta, Gilbert. (1978). Théories et méthodes de la statistique. 21 indexed citations
20.
Bouroche, Jean-Marie, Gilbert Saporta, & Michel Tenenhaus. (1975). Generalized canonical analysis of qualitative data. HAL (Le Centre pour la Communication Scientifique Directe). 1 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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