Michel Tenenhaus

9.7k total citations · 1 hit paper
48 papers, 7.0k citations indexed

About

Michel Tenenhaus is a scholar working on Food Science, Dermatology and Analytical Chemistry. According to data from OpenAlex, Michel Tenenhaus has authored 48 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 10 papers in Dermatology and 9 papers in Analytical Chemistry. Recurrent topics in Michel Tenenhaus's work include Sensory Analysis and Statistical Methods (13 papers), Skin Protection and Aging (10 papers) and Spectroscopy and Chemometric Analyses (9 papers). Michel Tenenhaus is often cited by papers focused on Sensory Analysis and Statistical Methods (13 papers), Skin Protection and Aging (10 papers) and Spectroscopy and Chemometric Analyses (9 papers). Michel Tenenhaus collaborates with scholars based in France, Austria and Italy. Michel Tenenhaus's co-authors include Vincenzo Esposito Vinzi, Carlo di Lauro, Miguel Pérez‐Enciso, Arthur Tenenhaus, Forrest W. Young, Christiane Guinot, Laurence Ambroisine, Jérôme Pagès, Philippe Bastien and Julie Latreille and has published in prestigious journals such as Genetics, European Journal of Operational Research and Journal of the American Academy of Dermatology.

In The Last Decade

Michel Tenenhaus

46 papers receiving 6.5k citations

Hit Papers

PLS path modeling 2004 2026 2011 2018 2004 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel Tenenhaus France 21 1.3k 1.3k 1.2k 1.1k 1.0k 48 7.0k
Nick Lee United Kingdom 40 2.8k 2.1× 1.3k 1.0× 1.7k 1.5× 734 0.7× 1.0k 1.0× 186 7.4k
Vincenzo Esposito Vinzi France 19 2.6k 2.0× 2.0k 1.6× 2.2k 1.9× 2.2k 1.9× 1.7k 1.6× 34 9.6k
Peter Jones United Kingdom 53 1.9k 1.4× 1.2k 0.9× 2.5k 2.1× 1.8k 1.6× 380 0.4× 597 11.5k
William R. Dillon United States 33 975 0.7× 856 0.7× 1.3k 1.1× 635 0.6× 374 0.4× 98 5.8k
Carlo di Lauro Italy 9 1.2k 0.9× 1.1k 0.9× 1.1k 0.9× 999 0.9× 942 0.9× 25 4.7k
Galit Shmueli Taiwan 30 1.6k 1.1× 946 0.7× 1.8k 1.5× 977 0.9× 977 0.9× 141 7.8k
Nitesh Pandey India 28 1.8k 1.3× 714 0.6× 1.3k 1.1× 1.6k 1.5× 444 0.4× 66 9.6k
Debmalya Mukherjee United States 27 1.5k 1.1× 928 0.7× 1.1k 0.9× 2.5k 2.2× 367 0.4× 54 10.1k
Yanqing Duan United Kingdom 38 973 0.7× 449 0.4× 663 0.6× 1.4k 1.2× 835 0.8× 122 6.5k
Manuel J. Cobo Spain 35 1.4k 1.0× 527 0.4× 807 0.7× 1.5k 1.3× 379 0.4× 108 9.6k

Countries citing papers authored by Michel Tenenhaus

Since Specialization
Citations

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

Fields of papers citing papers by Michel Tenenhaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Tenenhaus

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Tenenhaus. A scholar is included among the top collaborators of Michel Tenenhaus 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 Michel Tenenhaus. Michel Tenenhaus 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.
Tenenhaus, Arthur & Michel Tenenhaus. (2014). Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis. European Journal of Operational Research. 238(2). 391–403. 48 indexed citations
2.
Tenenhaus, Arthur & Michel Tenenhaus. (2011). Regularized Generalized Canonical Correlation Analysis. Psychometrika. 76(2). 257–284. 216 indexed citations
3.
Latreille, Julie, Emmanuelle Mauger, Denis Malvy, et al.. (2008). Recherche d'une typologie de comportement face au soleil des volontaires de la cohorte SU.VI.MAX.. 38. 184–193. 1 indexed citations
4.
Vinzi, Vincenzo Esposito, et al.. (2008). REBUS‐PLS: A response‐based procedure for detecting unit segments in PLS path modelling. Applied Stochastic Models in Business and Industry. 24(5). 439–458. 116 indexed citations
5.
Tenenhaus, Michel, et al.. (2008). Statistical methods in performance analysis. Applied Stochastic Models in Business and Industry. 24(5). 369–371. 1 indexed citations
6.
Guinot, Christiane, Denis Malvy, Emmanuelle Mauger, et al.. (2006). Self‐reported skin sensitivity in a general adult population in France: data of the SU.VI.MAX cohort. Journal of the European Academy of Dermatology and Venereology. 20(4). 380–390. 50 indexed citations
7.
Ding, Yuan, Hervé Stolowy, & Michel Tenenhaus. (2004). Les déterminants de la stratégie de « capitalisation » des frais de recherche et développement. 7(4). 87–106. 3 indexed citations
8.
Tenenhaus, Michel, et al.. (2004). PLS path modeling. Computational Statistics & Data Analysis. 48(1). 159–205. 4517 indexed citations breakdown →
9.
Pagès, Jérôme & Michel Tenenhaus. (2002). Analyse factorielle multiple et approche PLS. French digital mathematics library (Numdam). 50(1). 5–33. 6 indexed citations
10.
Matte-Tailliez, Oriane, et al.. (2002). Use of predictive modeling for Propionibacterium strain classification. Systematic and Applied Microbiology. 25(3). 386–395. 6 indexed citations
11.
Guinot, Christiane, Denis Malvy, Laurence Ambroisine, et al.. (2002). Relative Contribution of Intrinsic vs Extrinsic Factors to Skin Aging as Determined by a Validated Skin Age Score. Archives of Dermatology. 138(11). 1454–60. 130 indexed citations
12.
Yuan, Ding, Hervé Stolowy, & Michel Tenenhaus. (2002). L'internationalisation de la présentation des états financiers des sociétés françaises : une étude empirique longitudinale. Comptabilité - Contrôle - Audit. Tome 8(1). 45–68. 1 indexed citations
13.
Pagès, Jérôme & Michel Tenenhaus. (2001). Multiple factor analysis combined with PLS path modelling. Application to the analysis of relationships between physicochemical variables, sensory profiles and hedonic judgements. Chemometrics and Intelligent Laboratory Systems. 58(2). 261–273. 44 indexed citations
14.
Guinot, Christiane, Paul Preziosi, L. Vaillant, et al.. (2000). Epidemiologic determinants of skin photoaging: Baseline data of the SU.VI.MAX. cohort. Journal of the American Academy of Dermatology. 42(1). 47–55. 38 indexed citations
15.
Chavent, Marie, Christiane Guinot, Yves Lechevallier, & Michel Tenenhaus. (1999). Méthodes divisives de classification et segmentation non supervisée : recherche d'une typologie de la peau humaine saine. French digital mathematics library (Numdam). 47(4). 87–99. 9 indexed citations
16.
Tenenhaus, Michel. (1999). L'approche PLS. Revue de Statistique Appliquée. 47(2). 5–40. 24 indexed citations
17.
Tenenhaus, Michel. (1996). Méthodes statistiques en gestion. Dunod eBooks. 13 indexed citations
19.
Tenenhaus, Michel. (1977). Analyse en composantes principales d'un ensemble de variables nominales ou numériques. French digital mathematics library (Numdam). 25(2). 39–56. 4 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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