François Husson

17.6k total citations · 3 hit papers
70 papers, 10.3k citations indexed

About

François Husson is a scholar working on Food Science, Statistics and Probability and Radiation. According to data from OpenAlex, François Husson has authored 70 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Food Science, 15 papers in Statistics and Probability and 8 papers in Radiation. Recurrent topics in François Husson's work include Sensory Analysis and Statistical Methods (28 papers), Advanced Radiotherapy Techniques (8 papers) and Biochemical Analysis and Sensing Techniques (8 papers). François Husson is often cited by papers focused on Sensory Analysis and Statistical Methods (28 papers), Advanced Radiotherapy Techniques (8 papers) and Biochemical Analysis and Sensing Techniques (8 papers). François Husson collaborates with scholars based in France, United States and Spain. François Husson's co-authors include Julie Josse, Sébastien Lê, Jérôme Pagès, Jacques Pagès, Vincent Audigier, Marie de Tayrac, Marie Chavent, Benoît Liquet, Jean Mosser and Marc Aubry and has published in prestigious journals such as Journal of the American Statistical Association, The Journal of Immunology and The FASEB Journal.

In The Last Decade

François Husson

65 papers receiving 10.1k citations

Hit Papers

FactoMineR : An R Package for Multivariate Analysis 2008 2026 2014 2020 2008 2016 2017 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François Husson France 24 1.9k 1.6k 1.5k 1.4k 997 70 10.3k
Sébastien Lê France 19 1.7k 0.9× 1.4k 0.9× 1.6k 1.0× 1.4k 0.9× 857 0.9× 50 8.6k
Julie Josse France 21 1.7k 0.9× 1.5k 1.0× 937 0.6× 1.4k 0.9× 975 1.0× 54 9.4k
Per B. Brockhoff Denmark 35 1.8k 1.0× 2.5k 1.6× 1.4k 0.9× 1.2k 0.8× 2.3k 2.3× 109 18.1k
George A. Milliken United States 38 1.9k 1.0× 1.7k 1.1× 619 0.4× 685 0.5× 948 1.0× 187 10.4k
J. C. Gower United Kingdom 35 2.5k 1.3× 1.9k 1.2× 1.2k 0.8× 1.5k 1.1× 1.8k 1.8× 146 15.2k
Philip M. Dixon United States 45 2.8k 1.5× 3.2k 2.0× 457 0.3× 2.4k 1.7× 1.6k 1.6× 189 11.7k
Cedric E. Ginestet United Kingdom 17 1.3k 0.7× 2.0k 1.3× 316 0.2× 2.1k 1.5× 943 0.9× 31 11.5k
Harry Smith United Kingdom 43 1.2k 0.6× 931 0.6× 697 0.5× 2.4k 1.6× 351 0.4× 323 16.7k
Samuel S. Shapiro United States 18 2.6k 1.4× 1.8k 1.1× 529 0.3× 1.4k 1.0× 851 0.9× 35 20.6k
Michael Greenacre Spain 39 539 0.3× 1.3k 0.8× 1.6k 1.0× 808 0.6× 393 0.4× 132 10.3k

Countries citing papers authored by François Husson

Since Specialization
Citations

This map shows the geographic impact of François Husson'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 François Husson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Husson more than expected).

Fields of papers citing papers by François Husson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by François Husson. 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 François Husson. The network helps show where François Husson may publish in the future.

Co-authorship network of co-authors of François Husson

This figure shows the co-authorship network connecting the top 25 collaborators of François Husson. A scholar is included among the top collaborators of François Husson 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 François Husson. François Husson 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.
Laas, Enora, Thomas Gaillard, Benoît Couturaud, et al.. (2025). The Impact of Fat Graft Reconstructive Surgery on Prognosis in Young Women with Breast Cancer: A Study from the French Insurance Databases. Plastic & Reconstructive Surgery. 156(5). 691–701.
2.
Étienne, Marie‐Pierre, et al.. (2025). Accounting for relative age effect in sports performance assessment: Developing age-adjusted performance corridors using mixed models. Journal of Sports Sciences. 43(9). 875–886.
3.
Husson, François, et al.. (2019). Imputation of Mixed Data With Multilevel Singular Value Decomposition. Journal of Computational and Graphical Statistics. 28(3). 552–566. 18 indexed citations
4.
Cortina, Maria S., et al.. (2017). 15. EPID-based pretreatment quality assurance: Dosimetric evaluation of application software. Physica Medica. 44. 34–34. 1 indexed citations
6.
Josse, Julie & François Husson. (2016). missMDA: A Package for Handling Missing Values in Multivariate Data Analysis. Journal of Statistical Software. 70(1). 767 indexed citations breakdown →
7.
Husson, François, et al.. (2014). Different fluid intake patterns across the week can be identified in German adults (LB378). The FASEB Journal. 28(S1). 1 indexed citations
8.
Audigier, Vincent, François Husson, & Julie Josse. (2014). A principal component method to impute missing values for mixed data. Advances in Data Analysis and Classification. 10(1). 5–26. 92 indexed citations
9.
Kostov, Belchin, Mónica Bécue-Bertaut, & François Husson. (2013). An original methodology for the analysis and interpretation of word-count based methods: Multiple factor analysis for contingency tables complemented by consensual words. Food Quality and Preference. 32. 35–40. 16 indexed citations
10.
Husson, François, et al.. (2012). Construction and evaluation of confidence ellipses applied at sensory data. Food Quality and Preference. 28(1). 106–115. 86 indexed citations
11.
Husson, François, Julie Josse, & Jérôme Pagès. (2010). Analyse de données avec R - Complémentarité des méthodes d'analyse factorielle et de classification. HAL (Le Centre pour la Communication Scientifique Directe). 13 indexed citations
12.
Aletti, P., et al.. (2009). Feasibility study of using statistical process control to optimize quality assurance in radiotherapy. Journal of Quality in Maintenance Engineering. 15(4). 331–343. 7 indexed citations
13.
Husson, François, et al.. (2009). A comprehensive analysis of the IMRT dose delivery process using statistical process control (SPC). Medical Physics. 36(4). 1275–1285. 62 indexed citations
14.
Lê, Sébastien, Julie Josse, & François Husson. (2008). FactoMineR : An R Package for Multivariate Analysis. Journal of Statistical Software. 25(1). 6978 indexed citations breakdown →
15.
Guyader, Arnaud, et al.. (2008). Statistique avec R. Presses universitaires de Rennes eBooks. 4 indexed citations
17.
Pagès, Jérôme, Claude Bertrand, Rashida Ali, François Husson, & Sébastien Lê. (2007). SENSORY ANALYSIS COMPARISON OF EIGHT BISCUITS BY FRENCH AND PAKISTANI PANELS. Journal of Sensory Studies. 22(6). 665–686. 37 indexed citations
18.
Husson, François, et al.. (2006). INDSCAL model: geometrical interpretation and methodology. HAL (Le Centre pour la Communication Scientifique Directe).
19.
Pagès, Jérôme & François Husson. (2005). Multiple factor analysis with confidence ellipses: a methodology to study the relationships between sensory and instrumental data. Journal of Chemometrics. 19(3). 138–144. 45 indexed citations
20.
Husson, François & Jacques Pagès. (2003). COMPARISON OF SENSORY PROFILES DONE BY TRAINED AND UNTRAINED JURIES: METHODOLOGY AND RESULTS. Journal of Sensory Studies. 18(6). 453–464. 22 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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