Marie Chavent

2.4k total citations
44 papers, 1.2k citations indexed

About

Marie Chavent is a scholar working on Artificial Intelligence, Food Science and Animal Science and Zoology. According to data from OpenAlex, Marie Chavent has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Food Science and 6 papers in Animal Science and Zoology. Recurrent topics in Marie Chavent's work include Advanced Clustering Algorithms Research (9 papers), Sensory Analysis and Statistical Methods (7 papers) and Meat and Animal Product Quality (6 papers). Marie Chavent is often cited by papers focused on Advanced Clustering Algorithms Research (9 papers), Sensory Analysis and Statistical Methods (7 papers) and Meat and Animal Product Quality (6 papers). Marie Chavent collaborates with scholars based in France, Spain and United Kingdom. Marie Chavent's co-authors include Jérôme Saracco, Vanessa Kuentz-Simonet, Yves Lechevallier, Benoît Liquet, Francisco de A.T. de Carvalho, Renata M.C.R. de Souza, Hervé Stolowy, Yuan Ding, Huiwen Wang and Amaury Labenne and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Phytochemistry.

In The Last Decade

Marie Chavent

43 papers receiving 1.2k citations

Peers

Marie Chavent

ACCOU

Kuldeep Kumar Australia

Gilbert Saporta France

Yu‐Shan Shih Taiwan

Anja Struyf Belgium

Joe Whittaker United Kingdom

Charles L. Dunn United States

Henry W. Altland United States

Marko Bohanec Slovenia

Maurizio Vichi Italy

Shin Ta Liu

Kuldeep Kumar Australia

Marie Chavent

486 ×1.5

412 ×3.2

ACCOU

141 ×1.1

76 ×0.6

221 ×2.3

Citations per year, relative to Marie Chavent Marie Chavent (= 1×) peers Kuldeep Kumar

Countries citing papers authored by Marie Chavent

Since Specialization

Citations

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

Fields of papers citing papers by Marie Chavent

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Chavent

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

All Works

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20 of 20 papers shown

Chavent, Marie, et al.. (2025). ClimLoco1.0: CLimate variable confidence Interval of Multivariate Linear Observational COnstraint. Geoscientific model development. 18(22). 9015–9038.

Balossier, Anne, Mădălina Olteanu, Christine Delsanti, et al.. (2024). Dynamics of tumor evolution after Gamma Knife radiosurgery for sporadic vestibular schwannoma: Defining volumetric patterns characterizing individual trajectory. Neuro-Oncology. 27(2). 545–556. 3 indexed citations

Chavent, Marie, et al.. (2021). Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability?. HAL (Le Centre pour la Communication Scientifique Directe). 8 indexed citations

Swingedouw, Didier, et al.. (2020). Reconstructing climatic modes of variability from proxy records using ClimIndRec version 1.0. Geoscientific model development. 13(2). 841–858. 13 indexed citations

Ellies‐Oury, Marie‐Pierre, et al.. (2019). Statistical model choice including variable selection based on variable importance: A relevant way for biomarkers selection to predict meat tenderness. Scientific Reports. 9(1). 10014–10014. 16 indexed citations

Chavent, Marie, Robin Genuer, & Jérôme Saracco. (2019). Combining clustering of variables and feature selection using random forests. Communications in Statistics - Simulation and Computation. 50(2). 426–445. 38 indexed citations

Picard, Brigitte, D. Durand, Gonzalo Cantalapiedra-Hijar, et al.. (2019). New Approach Studying Interactions Regarding Trade-Off between Beef Performances and Meat Qualities. Foods. 8(6). 197–197. 3 indexed citations

Swingedouw, Didier, et al.. (2018). Reconstructing climatic modes of variability from proxy records: sensitivity to the methodological approach. Biogeosciences (European Geosciences Union). 2 indexed citations

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

10.

Ellies‐Oury, Marie‐Pierre, Gonzalo Cantalapiedra-Hijar, D. Durand, et al.. (2016). An innovative approach combining Animal Performances, nutritional value and sensory quality of meat. Meat Science. 122. 163–172. 13 indexed citations

11.

Chavent, Marie, et al.. (2011). A Sliced Inverse Regression Approach for a Stratified Population. Communication in Statistics- Theory and Methods. 40(21). 3857–3878. 3 indexed citations

12.

Saracco, Jérôme, et al.. (2010). Clustering of categorical variables around latent variables. RePEc: Research Papers in Economics. 3 indexed citations

13.

Chavent, Marie, et al.. (2010). L'adoption en France des normes IFRS relatives aux incorporels. Revue française de gestion. 93–110. 3 indexed citations

14.

Chavent, Marie, Francisco de A.T. de Carvalho, Yves Lechevallier, & Rosanna Verde. (2006). New clustering methods for interval data. Computational Statistics. 21(2). 211–229. 61 indexed citations

15.

Mongrand, Sébastien, et al.. (2005). Chemotaxonomy of the Rubiaceae family based on leaf fatty acid composition. Phytochemistry. 66(5). 549–559. 64 indexed citations

16.

Chavent, Marie, et al.. (2003). Calcul des coefficients de régression et du PRESS en régression PLS1. 30(30). 1–11. 2 indexed citations

17.

Verde, Rosanna, et al.. (2003). Symbolic clustering interpretation and visualization. 5 indexed citations

18.

Chavent, Marie, et al.. (2003). Trois nouvelles méthodes de classification automatique de données symboliques de type intervalle. French digital mathematics library (Numdam). 51(4). 5–29. 12 indexed citations

19.

Mongrand, Sébastien, et al.. (2001). Taxonomy of gymnospermae: multivariate analyses of leaf fatty acid composition. Phytochemistry. 58(1). 101–115. 69 indexed citations

20.

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

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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