Amaury Labenne

516 total citations
7 papers, 197 citations indexed

About

Amaury Labenne is a scholar working on Food Science, Nutrition and Dietetics and Social Psychology. According to data from OpenAlex, Amaury Labenne has authored 7 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Food Science, 2 papers in Nutrition and Dietetics and 1 paper in Social Psychology. Recurrent topics in Amaury Labenne's work include Sensory Analysis and Statistical Methods (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Soil erosion and sediment transport (1 paper). Amaury Labenne is often cited by papers focused on Sensory Analysis and Statistical Methods (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Soil erosion and sediment transport (1 paper). Amaury Labenne collaborates with scholars based in France and Denmark. Amaury Labenne's co-authors include Vanessa Kuentz-Simonet, Marie Chavent, Jérôme Saracco, El Mostafa Qannari, Fabien Llobell, Véronique Cariou, Jean‐Michel Carozza, Davide Giacalone and Benoît Liquet and has published in prestigious journals such as Geomorphology, Food Quality and Preference and Social Indicators Research.

In The Last Decade

Amaury Labenne

7 papers receiving 192 citations

Peers

Amaury Labenne

FS

ECOLO

EE

SS

GPC

Charlotte Hall United Kingdom

Vanessa Kuentz-Simonet France

Li Yun China

Kai Elgethun United States

T. S. G. Peiris Sri Lanka

Omolola M. Adisa South Africa

Saima Altaf Pakistan

Ryan H. L. Ip Australia

E. R. Williams Australia

Peter McMahon Australia

Charlotte Hall United Kingdom

Amaury Labenne

22 ×0.5

FS

39 ×1.0

ECOLO

26 ×0.7

EE

48 ×1.7

SS

45 ×1.7

GPC

Citations per year, relative to Amaury Labenne Amaury Labenne (= 1×) peers Charlotte Hall

Countries citing papers authored by Amaury Labenne

Since Specialization

Citations

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

Fields of papers citing papers by Amaury Labenne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amaury Labenne

This figure shows the co-authorship network connecting the top 25 collaborators of Amaury Labenne. A scholar is included among the top collaborators of Amaury Labenne 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 Amaury Labenne. Amaury Labenne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Llobell, Fabien, Davide Giacalone, Amaury Labenne, & El Mostafa Qannari. (2019). Assessment of the agreement and cluster analysis of the respondents in a CATA experiment. Food Quality and Preference. 77. 184–190. 10 indexed citations

2.

Chavent, Marie, Vanessa Kuentz-Simonet, Amaury Labenne, & Jérôme Saracco. (2018). ClustGeo: an R package for hierarchical clustering with spatial constraints. Computational Statistics. 33(4). 1799–1822. 87 indexed citations

3.

Llobell, Fabien, et al.. (2018). A new approach for the analysis of data and the clustering of subjects in a CATA experiment. Food Quality and Preference. 72. 31–39. 29 indexed citations

4.

Llobell, Fabien, et al.. (2018). Analysis and clustering of multiblock datasets by means of the STATIS and CLUSTATIS methods. Application to sensometrics. Food Quality and Preference. 79. 103520–103520. 20 indexed citations

5.

Chavent, Marie, et al.. (2017). Multivariate Analysis of Mixed Data [R package PCAmixdata version 3.1]. 5 indexed citations

6.

Kuentz-Simonet, Vanessa, et al.. (2016). Using ClustOfVar to Construct Quality of Life Indicators for Vulnerability Assessment Municipality Trajectories in Southwest France from 1999 to 2009. Social Indicators Research. 131(3). 973–997. 10 indexed citations

7.

Labenne, Amaury, et al.. (2016). Evolutionary trajectory of channel planforms in the middle Garonne River (Toulouse, SW France) over a 130-year period: Contribution of mixed multiple factor analysis (MFAmix). Geomorphology. 258. 21–39. 36 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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