D. Valentin

11 papers receiving 835 citations

D. Valentin's Hit Papers

Multiple factor analysis: principal component analysis for multitable and multiblock data sets 2013 · 358 citations
3580+4+8Years since publication100200300

Peers

D. Valentin
Comparison fields: 5 of 158
  • Tourism, Leisure and Hospitality Management 95
  • Food Science 437
  • Sensory Systems 54
  • Biochemistry 66
  • Nutrition and Dietetics 103
Replace Domenico Carlucci with:
Domenico Carlucci Italy
Jacques Pagès France
Anthony A. Williams United Kingdom
Michael Meyners Germany
Edward B. Roessler United States
Carolina Chaya Spain
Magni Martens United Kingdom
Frank Westad Norway
Jian Bi United States
Otto Schmid Switzerland
D. Valentin relative to Domenico Carlucci Italy Domenico Carlucci's profile →
Citations per field
00.5×3.3×
Domenico Carlucci · 1×
Citations per year

Countries citing papers authored by D. Valentin

Since Specialization
Citations

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

Fields of papers citing papers by D. Valentin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside D. Valentin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Valentin Line = papers co-authored together D. Valentin links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Multiple factor analysis: principal component analysis for multitable and multiblock data sets
Hit paper breakdown →
2013358
2 2009118
3 201299
4 200886
5 201186
6 199441
7 200931
8 201922
9 201613
10 20216
11
USING GROUP FOCUS TO STUDY THE REPRESENTATION OF WINE IN VIETNAM
20072

About D. Valentin

D. Valentin is a scholar working on Food Science, Tourism, Leisure and Hospitality Management, Sensory Systems, Computer Vision and Pattern Recognition and Plant Science, having authored 11 papers that have together received 862 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (8 papers), Wine Industry and Tourism (5 papers), Olfactory and Sensory Function Studies (4 papers), Fermentation and Sensory Analysis (4 papers), Horticultural and Viticultural Research (2 papers), Face and Expression Recognition (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Plant and animal studies (1 paper). The work is most often cited by research in Tourism, Leisure and Hospitality Management (95 citations), Food Science (437 citations), Sensory Systems (54 citations), Biochemistry (66 citations) and Nutrition and Dietetics (103 citations). D. Valentin has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Hervé Abdi, Lynne J. Williams, Elı́as Campo, Jordi Ballester, Catherine Dacremont, Jennifer Langlois, Vicente Ferreira, Wendy V. Parr, James Green and Robert R. Sherlock. Their work appears in journals such as Food Quality and Preference, Wiley Interdisciplinary Reviews Computational Statistics, Australian Journal of Grape and Wine Research, Food Research International and Journal of Biological Systems.

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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