Jules Thibault

5.9k total citations
204 papers, 4.7k citations indexed

About

Jules Thibault is a scholar working on Mechanical Engineering, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Jules Thibault has authored 204 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Mechanical Engineering, 72 papers in Biomedical Engineering and 48 papers in Control and Systems Engineering. Recurrent topics in Jules Thibault's work include Membrane Separation and Gas Transport (31 papers), Fault Detection and Control Systems (27 papers) and Advanced Control Systems Optimization (24 papers). Jules Thibault is often cited by papers focused on Membrane Separation and Gas Transport (31 papers), Fault Detection and Control Systems (27 papers) and Advanced Control Systems Optimization (24 papers). Jules Thibault collaborates with scholars based in Canada, Iran and France. Jules Thibault's co-authors include S.Gh. Etemad, F. Handan Tezel, Mohammad Hojjat, Rouhollah Bagheri, Bernard P. A. Grandjean, Niloofar Abdehagh, Christophe Lacroix, A. Chéruy, V. Van Breusegem and A. Schepers and has published in prestigious journals such as Analytical Chemistry, Water Research and European Journal of Operational Research.

In The Last Decade

Jules Thibault

197 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jules Thibault Canada 35 2.0k 1.8k 782 740 547 204 4.7k
Costas Kiparissides Greece 51 1.8k 0.9× 1.2k 0.7× 830 1.1× 2.0k 2.8× 648 1.2× 252 8.6k
S. Jayaraj India 37 3.8k 2.0× 3.4k 1.9× 477 0.6× 260 0.4× 986 1.8× 136 7.2k
Xiao Zhang China 46 4.1k 2.1× 548 0.3× 1.1k 1.4× 904 1.2× 154 0.3× 155 7.1k
M.A. Hussain Malaysia 40 1.1k 0.6× 1.1k 0.6× 403 0.5× 2.5k 3.4× 402 0.7× 265 7.0k
Bhaskar D. Kulkarni India 34 1.0k 0.5× 529 0.3× 535 0.7× 326 0.4× 118 0.2× 105 3.5k
Rohit Ramachnadran United States 39 611 0.3× 1.5k 0.8× 560 0.7× 717 1.0× 1.7k 3.2× 148 4.1k
Jianzhong Zhou China 43 647 0.3× 4.0k 2.2× 363 0.5× 181 0.2× 570 1.0× 426 7.4k
L.T. Fan United States 29 1.5k 0.8× 591 0.3× 537 0.7× 432 0.6× 860 1.6× 123 3.3k
B. Deepanraj India 38 1.9k 1.0× 909 0.5× 324 0.4× 95 0.1× 272 0.5× 210 4.8k
Antonello Barresi Italy 42 1.5k 0.8× 704 0.4× 1.6k 2.1× 566 0.8× 985 1.8× 251 5.7k

Countries citing papers authored by Jules Thibault

Since Specialization
Citations

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

Fields of papers citing papers by Jules Thibault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jules Thibault

This figure shows the co-authorship network connecting the top 25 collaborators of Jules Thibault. A scholar is included among the top collaborators of Jules Thibault 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 Jules Thibault. Jules Thibault 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.
Fauteux‐Lefebvre, Clémence, et al.. (2025). Optimal Design of Catalytic Conversion of SO2 to SO3 via Machine Learning. 6.
3.
Kruczek, Boguslaw, et al.. (2025). Impact of the porous support disc of a gas permeation cell on the estimation of the membrane transport properties. Journal of Membrane Science. 721. 123831–123831.
4.
Thibault, Jules, et al.. (2024). Mixed matrix membranes based on two-dimensional materials for efficient CO2 separation: A comprehensive review. Process Safety and Environmental Protection. 183. 952–975. 18 indexed citations
5.
Wu, Haoyu, et al.. (2024). Determination of time lag by accurate monitoring of pressure decay in a new generation constant volume system. MethodsX. 13. 102858–102858. 1 indexed citations
6.
Lau, Vivian M., et al.. (2024). Simulating the Permeation of Toxic Chemicals through Barrier Materials. Membranes. 14(9). 183–183. 1 indexed citations
7.
Thibault, Jules, et al.. (2024). Autoassociative neural network for missing data imputation: A case study via the styrene production process. The Canadian Journal of Chemical Engineering. 103(1). 339–358. 1 indexed citations
8.
Wu, Haoyu, Jules Thibault, & Boguslaw Kruczek. (2022). On the limitation of the time-lag method for characterizing mixed-matrix membranes embedding filler particles of different permeability. Journal of Membrane Science. 663. 121074–121074. 2 indexed citations
9.
Wu, Haoyu, Boguslaw Kruczek, & Jules Thibault. (2021). A generalized model for the prediction of the permeability of mixed-matrix membranes using impermeable fillers of diverse geometry. Journal of Membrane Science. 641. 119951–119951. 6 indexed citations
10.
Zamanian, Maryam, et al.. (2021). Effect of TiO2 Nanoparticles on Barrier and Mechanical Properties of PVA Films. 7(2). 67–73. 18 indexed citations
11.
Thibault, Jules, et al.. (2020). Catalyst design using artificial intelligence: SO2 to SO3 case study. The Canadian Journal of Chemical Engineering. 98(9). 2016–2031. 11 indexed citations
12.
Wu, Haoyu, Jules Thibault, & Boguslaw Kruczek. (2020). The validity of the time-lag method for the characterization of mixed-matrix membranes. Journal of Membrane Science. 618. 118715–118715. 24 indexed citations
13.
Ochoa, Silvia, et al.. (2020). Pareto domain: an invaluable source of process information. Chemical Product and Process Modeling. 17(1). 29–53.
14.
Wu, Haoyu, Boguslaw Kruczek, & Jules Thibault. (2018). Impact of Measuring Devices and Data Analysis on the Determination of Gas Membrane Properties. 4(1). 4–14. 10 indexed citations
15.
Thibault, Jules, et al.. (2018). On the Effective Permeability of Mixed Matrix Membranes. 4(3). 158–166. 3 indexed citations
16.
Mehrani, Poupak, et al.. (2016). Economic comparison of a continuous ABE fermentation with and without the integration of an in situ vacuum separation unit. The Canadian Journal of Chemical Engineering. 94(5). 833–843. 15 indexed citations
17.
Thibault, Jules, et al.. (2013). Ethanol Steam Reforming for Hydrogen Production in Microchannel Reactors: Experimental Design and Optimization. International Journal of Chemical Reactor Engineering. 11(1). 9–17. 8 indexed citations
18.
Gupta, Yash P., et al.. (2012). Multiobjective Optimization of an Industrial Styrene Reactor Using the Dual Population Evolutionary Algorithm (DPEA). International Journal of Chemical Reactor Engineering. 10(1). 5 indexed citations
19.
Thibault, Jules, et al.. (2011). Multi-Objective Optimization of an Ethylene Oxide Reactor. International Journal of Chemical Reactor Engineering. 9(1). 10 indexed citations
20.
Haelssig, Jan B., Jules Thibault, & André Y. Tremblay. (2008). Correlation of the Transport Properties for the Ethanol-Water System Using Neural Networks. Chemical Product and Process Modeling. 3(1). 5 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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