Iván Castillo

1.1k total citations · 1 hit paper
42 papers, 760 citations indexed

About

Iván Castillo is a scholar working on Control and Systems Engineering, Mechanical Engineering and Analytical Chemistry. According to data from OpenAlex, Iván Castillo has authored 42 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Control and Systems Engineering, 9 papers in Mechanical Engineering and 8 papers in Analytical Chemistry. Recurrent topics in Iván Castillo's work include Fault Detection and Control Systems (33 papers), Advanced Control Systems Optimization (20 papers) and Control Systems and Identification (12 papers). Iván Castillo is often cited by papers focused on Fault Detection and Control Systems (33 papers), Advanced Control Systems Optimization (20 papers) and Control Systems and Identification (12 papers). Iván Castillo collaborates with scholars based in United States, Portugal and Netherlands. Iván Castillo's co-authors include Leo H. Chiang, Bo Lu, Mark N. Joswiak, Ricardo Rendall, Marco S. Reis, Zhenyu Wang, Thomas F. Edgar, Zhenyu Wang, Birgit Braun and Rahul Bindlish and has published in prestigious journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and Chemical Engineering Science.

In The Last Decade

Iván Castillo

40 papers receiving 724 citations

Hit Papers

Recent trends on hybrid modeling for Industry 4.0 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Recent trends on hybrid modeling for Industry 4.0
    2021 188 citations Mark N. Joswiak, Iván Castillo et al. Computers & Chemical Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iván Castillo United States 14 461 161 92 83 77 42 760
Ricardo Rendall Portugal 13 302 0.7× 148 0.9× 115 1.3× 41 0.5× 99 1.3× 29 557
Vladimir Mahalec Canada 19 593 1.3× 200 1.2× 57 0.6× 89 1.1× 34 0.4× 66 1.1k
Bo Lu United States 13 226 0.5× 112 0.7× 79 0.9× 74 0.9× 54 0.7× 34 560
X.Z. Wang United Kingdom 13 265 0.6× 177 1.1× 134 1.5× 101 1.2× 46 0.6× 29 835
Jesus Flores‐Cerrillo Canada 16 784 1.7× 288 1.8× 137 1.5× 34 0.4× 95 1.2× 37 992
Aditya Tulsyan United States 16 539 1.2× 76 0.5× 102 1.1× 172 2.1× 116 1.5× 41 911
Margret Bauer South Africa 15 942 2.0× 261 1.6× 152 1.7× 116 1.4× 202 2.6× 42 1.1k
Fernando V. Lima United States 17 519 1.1× 194 1.2× 16 0.2× 49 0.6× 34 0.4× 89 859
Chao Ning China 20 639 1.4× 82 0.5× 25 0.3× 56 0.7× 124 1.6× 62 1.5k

Countries citing papers authored by Iván Castillo

Since Specialization
Citations

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

Fields of papers citing papers by Iván Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Castillo

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Castillo. A scholar is included among the top collaborators of Iván Castillo 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 Iván Castillo. Iván Castillo 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.
Castillo, Iván, et al.. (2024). Human-in-the-loop controller tuning using Preferential Bayesian Optimization. IFAC-PapersOnLine. 58(14). 13–18.
2.
3.
Castillo, Iván, et al.. (2023). Physics-Enhanced Neural Ordinary Differential Equations: Application to Industrial Chemical Reaction Systems. Industrial & Engineering Chemistry Research. 62(38). 15563–15577. 26 indexed citations
4.
Rendall, Ricardo, Mark N. Joswiak, Iván Castillo, et al.. (2023). A functional data-driven approach to monitor and analyze equipment degradation in multiproduct batch processes. Process Safety and Environmental Protection. 180. 868–882. 2 indexed citations
5.
Chiang, Leo H., Birgit Braun, Zhenyu Wang, & Iván Castillo. (2022). Towards artificial intelligence at scale in the chemical industry. AIChE Journal. 68(6). 30 indexed citations
6.
Zhu, Wenbo, Iván Castillo, Zhenyu Wang, et al.. (2022). Benchmark study of reinforcement learning in controlling and optimizing batch processes. Civil War Book Review. 4(2). 5 indexed citations
7.
Zhu, Wenbo, Ricardo Rendall, Iván Castillo, et al.. (2021). Control of A Polyol Process Using Reinforcement Learning. IFAC-PapersOnLine. 54(3). 498–503. 7 indexed citations
8.
Ortiz, Guadalupe, Iván Castillo, Alfonso García-de-Prado, & Juan Boubeta‐Puig. (2021). Evaluating a Flow-Based Programming Approach as an Alternative for Developing CEP Applications in IoT. IEEE Internet of Things Journal. 9(13). 11489–11499. 9 indexed citations
9.
Qin, S. Joe, Zheyu Li, Leo H. Chiang, et al.. (2021). Integration of process knowledge and statistical learning for the Dow data challenge problem. Computers & Chemical Engineering. 153. 107451–107451. 24 indexed citations
10.
Joswiak, Mark N., Iván Castillo, Zhenyu Wang, et al.. (2021). Recent trends on hybrid modeling for Industry 4.0. Computers & Chemical Engineering. 151. 107365–107365. 188 indexed citations breakdown →
11.
Xu, Xiaodong, et al.. (2020). Data‐driven plant‐model mismatch estimation for dynamic matrix control systems. International Journal of Robust and Nonlinear Control. 30(17). 7103–7129. 14 indexed citations
12.
Joswiak, Mark N., et al.. (2019). Dimensionality reduction for visualizing industrial chemical process data. Control Engineering Practice. 93. 104189–104189. 44 indexed citations
13.
Wang, Siyun, et al.. (2018). Plant–Model Mismatch Estimation from Closed-Loop Data for State-Space Model Predictive Control. Industrial & Engineering Chemistry Research. 57(10). 3732–3741. 13 indexed citations
14.
Rendall, Ricardo, et al.. (2017). A Unifying and Integrated Framework for Feature Oriented Analysis of Batch Processes. Industrial & Engineering Chemistry Research. 56(30). 8590–8605. 19 indexed citations
15.
Chiang, Leo H., Bo Lu, & Iván Castillo. (2017). Big Data Analytics in Chemical Engineering. Annual Review of Chemical and Biomolecular Engineering. 8(1). 63–85. 127 indexed citations
16.
Chiang, Leo H., Bo Lu, & Iván Castillo. (2017). Advances in big data analytics at The Dow Chemical Company. 207–208. 2 indexed citations
17.
Wang, Siyun, et al.. (2017). Plant-model mismatch estimation in unconstrained state-space MPC. 3078–3083. 4 indexed citations
18.
Wang, Siyun, et al.. (2016). Data-Driven Plant-Model Mismatch Quantification in Input-Constrained Linear MPC. IFAC-PapersOnLine. 49(7). 25–30. 3 indexed citations
19.
Castillo, Iván, Thomas F. Edgar, & Ricardo Dunia. (2013). Nonlinear Detection and Isolation of Multiple Faults Using Residuals Modeling. Industrial & Engineering Chemistry Research. 53(13). 5217–5233. 5 indexed citations
20.
Castillo, Iván, Thomas F. Edgar, & B. Fernandez. (2011). Robust model‐based fault detection and isolation for nonlinear processes using sliding modes. International Journal of Robust and Nonlinear Control. 22(1). 89–104. 16 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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