Luis Ricardez‐Sandoval

7.0k total citations · 1 hit paper
248 papers, 5.7k citations indexed

About

Luis Ricardez‐Sandoval is a scholar working on Control and Systems Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Luis Ricardez‐Sandoval has authored 248 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Control and Systems Engineering, 54 papers in Materials Chemistry and 51 papers in Biomedical Engineering. Recurrent topics in Luis Ricardez‐Sandoval's work include Advanced Control Systems Optimization (97 papers), Process Optimization and Integration (90 papers) and Fault Detection and Control Systems (45 papers). Luis Ricardez‐Sandoval is often cited by papers focused on Advanced Control Systems Optimization (97 papers), Process Optimization and Integration (90 papers) and Fault Detection and Control Systems (45 papers). Luis Ricardez‐Sandoval collaborates with scholars based in Canada, China and Mexico. Luis Ricardez‐Sandoval's co-authors include Eric Croiset, Jingde Li, Peter Douglas, Hector Budman, Guoyi Bai, Aiping Yu, Xingwang Lan, Bohua Ren, Qing Li and K.D.P. Nigam and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Luis Ricardez‐Sandoval

237 papers receiving 5.6k citations

Hit Papers

Nano-crumples induced Sn-Bi bimetallic interface pattern ... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Ricardez‐Sandoval Canada 41 1.8k 1.6k 1.3k 1.3k 1.0k 248 5.7k
Lei Zhang China 41 1.2k 0.7× 1.4k 0.9× 1.1k 0.9× 1.8k 1.4× 892 0.9× 295 6.4k
Yongrong Yang China 38 1.2k 0.6× 1.3k 0.8× 1.7k 1.3× 435 0.3× 1.6k 1.5× 385 6.0k
M.A. Hussain Malaysia 40 2.5k 1.4× 1.2k 0.8× 1.1k 0.8× 638 0.5× 1.1k 1.1× 265 7.0k
Masoud Soroush United States 45 2.1k 1.1× 2.5k 1.5× 956 0.7× 531 0.4× 1.5k 1.5× 221 6.9k
Moonyong Lee South Korea 57 3.7k 2.0× 1.1k 0.7× 4.1k 3.2× 1.3k 1.1× 2.2k 2.1× 476 11.5k
Babu Joseph United States 34 1.4k 0.8× 1.4k 0.9× 810 0.6× 585 0.5× 549 0.5× 148 4.2k
Chenghua Zhang China 44 973 0.5× 2.8k 1.7× 2.1k 1.6× 798 0.6× 2.0k 1.9× 165 7.0k
Alexander Mitsos Germany 45 2.1k 1.1× 1.0k 0.6× 1.7k 1.4× 1.5k 1.2× 1.3k 1.3× 311 7.2k
Il Moon South Korea 41 707 0.4× 847 0.5× 2.2k 1.7× 798 0.6× 971 0.9× 211 6.0k
Alexei A. Lapkin United Kingdom 46 558 0.3× 2.9k 1.8× 1.1k 0.9× 1.6k 1.3× 2.6k 2.5× 201 7.6k

Countries citing papers authored by Luis Ricardez‐Sandoval

Since Specialization
Citations

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

Fields of papers citing papers by Luis Ricardez‐Sandoval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Ricardez‐Sandoval. 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 Luis Ricardez‐Sandoval. The network helps show where Luis Ricardez‐Sandoval may publish in the future.

Co-authorship network of co-authors of Luis Ricardez‐Sandoval

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Ricardez‐Sandoval. A scholar is included among the top collaborators of Luis Ricardez‐Sandoval 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 Luis Ricardez‐Sandoval. Luis Ricardez‐Sandoval 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.
Tsay, Calvin, et al.. (2025). Deep-learning-aided modifier adaptation: synergies with process intensification. Chemical Engineering and Processing - Process Intensification. 219. 110581–110581.
2.
Ricardez‐Sandoval, Luis, et al.. (2025). Robust PINN modeling via sensitivity-based adaptive sampling: Integration of optimal sensor placement and structural uncertainty handling. Journal of Process Control. 152. 103493–103493. 1 indexed citations
3.
Ricardez‐Sandoval, Luis, et al.. (2024). A Deep Reinforcement Learning-Based PID Tuning Strategy for Nonlinear MIMO Systems with Time-varying Uncertainty. IFAC-PapersOnLine. 58(14). 887–892. 5 indexed citations
4.
Ricardez‐Sandoval, Luis, et al.. (2024). Reactor network modelling for biomass-fueled chemical-looping gasification and combustion processes. Fuel. 366. 131254–131254. 3 indexed citations
5.
Ricardez‐Sandoval, Luis, et al.. (2024). Enhancing process flowsheet design through masked hybrid Proximal Policy Optimization. IFAC-PapersOnLine. 58(14). 646–651. 4 indexed citations
6.
Ricardez‐Sandoval, Luis, et al.. (2024). Multicut logic‐based Benders decomposition for discrete‐time scheduling and dynamic optimization of network batch plants. AIChE Journal. 70(9). 2 indexed citations
7.
Ricardez‐Sandoval, Luis, et al.. (2024). An optimal sustainable planning strategy for national carbon capture deployment: A review on the state ofCO2capture in Canada. The Canadian Journal of Chemical Engineering. 102(7). 2332–2351. 7 indexed citations
8.
Ricardez‐Sandoval, Luis, et al.. (2024). An integrated reinforcement learning framework for simultaneous generation, design, and control of chemical process flowsheets. Computers & Chemical Engineering. 194. 108988–108988. 2 indexed citations
10.
Ricardez‐Sandoval, Luis, et al.. (2023). Robust control designs for microalgae cultivation in continuous photobioreactors. International Journal of Chemical Reactor Engineering. 21(4). 521–535. 2 indexed citations
12.
Ricardez‐Sandoval, Luis, et al.. (2023). Simultaneous design and NMPC control under uncertainty and structural decisions: A discrete‐steepest descent algorithm. AIChE Journal. 69(11). 4 indexed citations
13.
Ricardez‐Sandoval, Luis, et al.. (2022). Centralized and hierarchical scheduling frameworks for copper smelting process. Computers & Chemical Engineering. 164. 107864–107864. 6 indexed citations
14.
Ren, Bohua, Guobin Wen, Rui Gao, et al.. (2022). Nano-crumples induced Sn-Bi bimetallic interface pattern with moderate electron bank for highly efficient CO2 electroreduction. Nature Communications. 13(1). 2486–2486. 217 indexed citations breakdown →
15.
Ricardez‐Sandoval, Luis, et al.. (2021). Optimal Scheduling of the Peirce-Smith Converter in the Copper Smelting Process. Processes. 9(11). 2004–2004. 9 indexed citations
16.
Ricardez‐Sandoval, Luis, et al.. (2019). Dynamic Optimization Applied for Modelling and Optimal Control of a Packed Bed Reactor for Chemical-Looping Combustion. IFAC-PapersOnLine. 52(1). 850–855. 4 indexed citations
17.
Ricardez‐Sandoval, Luis, et al.. (2019). State estimation for heavy oil hydroprocessing reactors using extended Kalman filters. Fuel. 262. 116565–116565. 7 indexed citations
18.
Gáspár, Jozsef, Luis Ricardez‐Sandoval, John Bagterp Jørgensen, & Philip Loldrup Fosbøl. (2016). Controllability and flexibility analysis of CO 2 post-combustion capture using piperazine and MEA. International journal of greenhouse gas control. 51. 276–289. 33 indexed citations
19.
Ricardez‐Sandoval, Luis, et al.. (2010). Testing a Constrained MPC Controller in a Process Control Laboratory. Chemical Engineering Education. 44(2). 127–133. 2 indexed citations
20.
Vázquez-Arenas, Jorge, et al.. (2010). An Undergraduate Course in Modeling and Simulation of Multiphysics Systems. Chemical Engineering Education. 44(4). 299–305. 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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