Francis Courtois

1.8k total citations
49 papers, 1.3k citations indexed

About

Francis Courtois is a scholar working on Food Science, Control and Systems Engineering and Organic Chemistry. According to data from OpenAlex, Francis Courtois has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Food Science, 10 papers in Control and Systems Engineering and 8 papers in Organic Chemistry. Recurrent topics in Francis Courtois's work include Food Drying and Modeling (23 papers), Microencapsulation and Drying Processes (13 papers) and Advanced Control Systems Optimization (10 papers). Francis Courtois is often cited by papers focused on Food Drying and Modeling (23 papers), Microencapsulation and Drying Processes (13 papers) and Advanced Control Systems Optimization (10 papers). Francis Courtois collaborates with scholars based in France, Morocco and Tunisia. Francis Courtois's co-authors include Catherine Bonazzi, Gilles Trystram, Aman Mohammad Ziaiifar, Nourhène Boudhrioua, Nabil Kechaou, Nawel Achir, Ioan-Cristian Trelea, Matthieu Faessel, Marie‐Elisabeth Cuvelier and J.J. Bimbenet and has published in prestigious journals such as Food Chemistry, Food Research International and Journal of Food Engineering.

In The Last Decade

Francis Courtois

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francis Courtois France 20 817 346 257 195 186 49 1.3k
Dionísio Borsato Brazil 24 373 0.5× 210 0.6× 236 0.9× 128 0.7× 209 1.1× 144 1.6k
Oon‐Doo Baik Canada 27 881 1.1× 414 1.2× 236 0.9× 102 0.5× 286 1.5× 79 1.7k
Supratim Ghosh Canada 32 2.2k 2.7× 275 0.8× 396 1.5× 97 0.5× 454 2.4× 86 2.8k
Andrea Mahn Chile 25 384 0.5× 387 1.1× 144 0.6× 189 1.0× 164 0.9× 69 1.7k
Catherine Bonazzi France 28 1.3k 1.6× 573 1.7× 65 0.3× 359 1.8× 321 1.7× 65 2.0k
I.I. Ruiz-López Mexico 23 994 1.2× 337 1.0× 57 0.2× 242 1.2× 185 1.0× 91 1.8k
Darko Velić Croatia 17 780 1.0× 402 1.2× 76 0.3× 436 2.2× 121 0.7× 47 1.3k
F.A.R. Oliveira Portugal 27 1.2k 1.4× 1.3k 3.7× 151 0.6× 440 2.3× 194 1.0× 68 2.7k
Zafer Erbay Türkiye 29 1.5k 1.8× 316 0.9× 149 0.6× 236 1.2× 141 0.8× 75 2.4k
Chunfang Song China 18 625 0.8× 150 0.4× 65 0.3× 123 0.6× 90 0.5× 61 975

Countries citing papers authored by Francis Courtois

Since Specialization
Citations

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

Fields of papers citing papers by Francis Courtois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Courtois

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Courtois. A scholar is included among the top collaborators of Francis Courtois 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 Francis Courtois. Francis Courtois 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.
Villeneuve, Pierre, Philippe Bohuon, Bruno Baréa, et al.. (2025). Unveiling synergistic antioxidant combinations for α-tocopherol in emulsions: A spectrophotometric-mathematical approach. Current Research in Food Science. 11. 101134–101134. 2 indexed citations
2.
Chapuis, Arnaud, et al.. (2024). Experimental data on filtration–consolidation dewatering kinetics of different cassava flours. Data in Brief. 55. 110600–110600. 1 indexed citations
3.
Chapuis, Arnaud, et al.. (2022). Experimental study and modelling of a filtration–consolidation step: Towards the development of a design tool for cassava dewatering. Journal of Food Engineering. 342. 111338–111338. 2 indexed citations
4.
Cuvelier, Marie‐Elisabeth, et al.. (2018). A stoichio-kinetic model for a DPPH∙ -ferulic acid reaction. Talanta. 196. 284–292. 21 indexed citations
5.
Roux, Stéphanie, et al.. (2018). Kinetic modelling of ascorbic and dehydroascorbic acids concentrations in a model solution at different temperatures and oxygen contents. Food Research International. 106. 901–908. 33 indexed citations
6.
7.
Courtois, Francis, et al.. (2015). Model reduction technique for faster simulation of drying of spherical solid foods. Journal of Food Engineering. 170. 125–135. 10 indexed citations
8.
Lambert, Caroline, et al.. (2015). Toward a generic approach to build up air drying models. Drying Technology. 34(3). 346–359. 8 indexed citations
9.
Courtois, Francis, et al.. (2015). Comparison and Discussion of Experimental Strategies to Improve Parameter Identification of a Drying Model. Drying Technology. 33(8). 896–906. 1 indexed citations
10.
Bonazzi, Catherine, et al.. (2012). Influence of sugar composition on water sorption isotherms and on glass transition in apricots. Journal of Food Engineering. 111(2). 403–411. 63 indexed citations
11.
Courtois, Francis, et al.. (2012). Modelling the interactions between free phenols, l-ascorbic acid, apple polyphenoloxidase and oxygen during a thermal treatment. Food Chemistry. 138(2-3). 1289–1297. 27 indexed citations
12.
Ziaiifar, Aman Mohammad, Francis Courtois, & Gilles Trystram. (2009). POROSITY DEVELOPMENT AND ITS EFFECT ON OIL UPTAKE DURING FRYING PROCESS. Journal of Food Process Engineering. 33(2). 191–212. 88 indexed citations
13.
Ziaiifar, Aman Mohammad, B. Heyd, & Francis Courtois. (2009). Investigation of effective thermal conductivity kinetics of crust and core regions of potato during deep-fat frying using a modified Lees method. Journal of Food Engineering. 95(3). 373–378. 18 indexed citations
14.
Ziaiifar, Aman Mohammad, et al.. (2008). Review of mechanisms, conditions, and factors involved in the oil uptake phenomenon during the deep‐fat frying process. International Journal of Food Science & Technology. 43(8). 1410–1423. 235 indexed citations
15.
Courtois, Francis, et al.. (2001). Modeling and control of a mixed-flow rice dryer with emphasis on breakage quality. Journal of Food Engineering. 49(4). 303–309. 18 indexed citations
16.
Abud‐Archila, Miguel, Francis Courtois, Catherine Bonazzi, & J.J. Bimbenet. (2000). A COMPARTMENTAL MODEL OF THIN-LAYER DRYING KINETICS OF ROUGH RICE. Drying Technology. 18(7). 1389–1414. 34 indexed citations
17.
Trelea, Ioan-Cristian, Gilles Trystram, & Francis Courtois. (1999). INFLUENCE OF MODEL UNCERTAINTY ON THE DYNAMIC OPTIMAL CONTROL PERFORMANCE OF A BATCH CORN DRYING PROCESS. Drying Technology. 17(6). 1173–1180. 2 indexed citations
18.
Trelea, Ioan-Cristian, Gilles Trystram, & Francis Courtois. (1997). Optimal constrained non-linear control of batch processes: Application to corn drying. Journal of Food Engineering. 31(4). 403–421. 38 indexed citations
19.
Courtois, Francis. (1995). Computer-Aided Design of Corn Dryers With Quality Prediction. Drying Technology. 13(1-2). 147–164. 22 indexed citations
20.
Courtois, Francis. (1993). Dynamic modelling and simulation of industrial corn dryers. Computers & Chemical Engineering. 17(1). S209–S214. 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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