Benoît Jaillais

947 total citations
28 papers, 700 citations indexed

About

Benoît Jaillais is a scholar working on Analytical Chemistry, Biomedical Engineering and Food Science. According to data from OpenAlex, Benoît Jaillais has authored 28 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Analytical Chemistry, 14 papers in Biomedical Engineering and 9 papers in Food Science. Recurrent topics in Benoît Jaillais's work include Spectroscopy and Chemometric Analyses (25 papers), Advanced Chemical Sensor Technologies (14 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). Benoît Jaillais is often cited by papers focused on Spectroscopy and Chemometric Analyses (25 papers), Advanced Chemical Sensor Technologies (14 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). Benoît Jaillais collaborates with scholars based in France, China and Belgium. Benoît Jaillais's co-authors include Sylvie Bureau, Weijie Lan, Catherine M.G.C. Renard, Agnès Rolland‐Sabaté, Paul Colonna, Songchao Chen, Dominique Dufour, Teresa Sánchez Sánchez, Sophie Guilois and Alain Buléon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Analytica Chimica Acta.

In The Last Decade

Benoît Jaillais

27 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Jaillais France 16 391 226 182 157 156 28 700
Ebrahiema Arendse South Africa 14 378 1.0× 324 1.4× 143 0.8× 202 1.3× 104 0.7× 21 654
Dayang Liu China 19 510 1.3× 243 1.1× 108 0.6× 95 0.6× 231 1.5× 55 892
Xingqi Ou China 15 209 0.5× 257 1.1× 114 0.6× 118 0.8× 140 0.9× 36 622
Silvia Arazuri Garín Spain 17 518 1.3× 430 1.9× 237 1.3× 56 0.4× 174 1.1× 54 963
Takuma Genkawa Japan 15 264 0.7× 105 0.5× 87 0.5× 80 0.5× 111 0.7× 34 545
Luís Carlos Cunha Brazil 16 384 1.0× 328 1.5× 125 0.7× 37 0.2× 142 0.9× 64 689
Mizuki Tsuta Japan 17 633 1.6× 232 1.0× 227 1.2× 121 0.8× 351 2.3× 92 1.1k
Rudiati Evi Masithoh Indonesia 15 345 0.9× 137 0.6× 99 0.5× 38 0.2× 118 0.8× 75 530
Annia García Pereira Cuba 12 582 1.5× 313 1.4× 157 0.9× 69 0.4× 468 3.0× 36 998

Countries citing papers authored by Benoît Jaillais

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Jaillais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Jaillais

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Jaillais. A scholar is included among the top collaborators of Benoît Jaillais 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 Benoît Jaillais. Benoît Jaillais 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.
Bougeard, Stéphanie, et al.. (2024). Benchmarking multiblock methods with canonical factorization. Chemometrics and Intelligent Laboratory Systems. 254. 105240–105240.
2.
Lan, Weijie, Hui Xiao, Bart Nicolaı̈, et al.. (2024). Visualizing the structural and chemical heterogeneity of fruit and vegetables using advanced imaging techniques: fundamentals, instrumental aspects, applications and future perspectives. Critical Reviews in Food Science and Nutrition. 65(21). 4147–4171. 17 indexed citations
3.
Mahieu, Benjamin, El Mostafa Qannari, & Benoît Jaillais. (2023). Extension and significance testing of Variable Importance in Projection (VIP) indices in Partial Least Squares regression and Principal Components Analysis. Chemometrics and Intelligent Laboratory Systems. 242. 104986–104986. 45 indexed citations
4.
Lan, Weijie, et al.. (2022). Fruit variability impacts puree quality: Assessment on individually processed apples using the visible and near infrared spectroscopy. Food Chemistry. 390. 133088–133088. 23 indexed citations
5.
Lan, Weijie, Vincent Baeten, Benoît Jaillais, et al.. (2022). Comparison of near-infrared, mid-infrared, Raman spectroscopy and near-infrared hyperspectral imaging to determine chemical, structural and rheological properties of apple purees. Journal of Food Engineering. 323. 111002–111002. 20 indexed citations
6.
Lan, Weijie, Benoît Jaillais, Catherine M.G.C. Renard, et al.. (2021). A method using near infrared hyperspectral imaging to highlight the internal quality of apple fruit slices. Postharvest Biology and Technology. 175. 111497–111497. 48 indexed citations
7.
8.
Miron, Sébastian, et al.. (2020). A Semi-Supervised Rank Tracking Algorithm For On-Line Unmixing Of Hyperspectral Images. HAL (Le Centre pour la Communication Scientifique Directe). 1514–1518. 2 indexed citations
9.
10.
11.
Jaillais, Benoît, et al.. (2020). Subpixel detection of peanut in wheat flour using a matched subspace detector algorithm and near-infrared hyperspectral imaging. Talanta. 216. 120993–120993. 18 indexed citations
12.
Puig‐Castellví, Francesc, et al.. (2020). Detection of chocolate powder adulteration with peanut using near-infrared hyperspectral imaging and Multivariate Curve Resolution. Food Control. 119. 107454–107454. 44 indexed citations
13.
Lan, Weijie, et al.. (2019). A new application of NIR spectroscopy to describe and predict purees quality from the non-destructive apple measurements. Food Chemistry. 310. 125944–125944. 61 indexed citations
14.
Bertrand, Dominique, et al.. (2017). Near-infrared hyperspectral imaging for following imbibition of single wheat kernel sections. Vibrational Spectroscopy. 92. 46–53. 16 indexed citations
15.
Jaillais, Benoît, et al.. (2015). Detection of Fusarium head blight contamination in wheat kernels by multivariate imaging. Food Control. 54. 250–258. 41 indexed citations
16.
Jaillais, Benoît, Jean‐Claude Boulet, Jean‐Michel Roger, et al.. (2012). Application of direct calibration in multivariate image analysis of heterogeneous materials. Analytica Chimica Acta. 734. 45–53. 4 indexed citations
17.
Jaillais, Benoît, E. Perrin, Cécile Mangavel, & Dominique Bertrand. (2011). Characterization of the desiccation of wheat kernels by multivariate imaging. Planta. 233(6). 1147–1156. 10 indexed citations
18.
Jaillais, Benoît, Dominique Bertrand, & J. Abécassis. (2011). Identification of the histological origin of durum wheat milling products by multispectral imaging and chemometrics. Journal of Cereal Science. 55(2). 210–217. 8 indexed citations
19.
Rolland‐Sabaté, Agnès, Sophie Guilois, Benoît Jaillais, & Paul Colonna. (2010). Molecular size and mass distributions of native starches using complementary separation methods: Asymmetrical Flow Field Flow Fractionation (A4F) and Hydrodynamic and Size Exclusion Chromatography (HDC-SEC). Analytical and Bioanalytical Chemistry. 399(4). 1493–1505. 68 indexed citations
20.
Jaillais, Benoît, Marie‐Astrid Ottenhof, Imad A. Farhat, & Douglas N. Rutledge. (2005). Outer-product analysis (OPA) using PLS regression to study the retrogradation of starch. Vibrational Spectroscopy. 40(1). 10–19. 15 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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