David Rincón

1.1k total citations
31 papers, 858 citations indexed

About

David Rincón is a scholar working on Control and Systems Engineering, Artificial Intelligence and Building and Construction. According to data from OpenAlex, David Rincón has authored 31 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 3 papers in Building and Construction. Recurrent topics in David Rincón's work include Advanced Control Systems Optimization (24 papers), Fault Detection and Control Systems (24 papers) and Control Systems and Identification (11 papers). David Rincón is often cited by papers focused on Advanced Control Systems Optimization (24 papers), Fault Detection and Control Systems (24 papers) and Control Systems and Identification (11 papers). David Rincón collaborates with scholars based in United States, Brazil and Colombia. David Rincón's co-authors include Zhe Wu, Panagiotis D. Christofides, Anh Tran, Junwei Luo, Zhihao Zhang, Scarlett Chen, Quanquan Gu, G. Roux, Mohammed S. Alhajeri and Fernando V. Lima and has published in prestigious journals such as International Journal of Hydrogen Energy, Industrial & Engineering Chemistry Research and AIChE Journal.

In The Last Decade

David Rincón

31 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Rincón United States 13 664 141 94 73 71 31 858
Anh Tran United States 13 392 0.6× 98 0.7× 57 0.6× 39 0.5× 48 0.7× 36 715
Jianning Li China 20 516 0.8× 174 1.2× 135 1.4× 58 0.8× 132 1.9× 83 1.0k
Atharv Bhosekar United States 6 210 0.3× 73 0.5× 38 0.4× 28 0.4× 95 1.3× 8 592
Calvin Tsay United States 17 422 0.6× 55 0.4× 110 1.2× 19 0.3× 173 2.4× 37 725
Rishi Amrit United States 7 1.3k 1.9× 36 0.3× 157 1.7× 22 0.3× 57 0.8× 10 1.4k
Pan Yu China 13 359 0.5× 46 0.3× 100 1.1× 13 0.2× 86 1.2× 58 562
Márcio A.F. Martins Brazil 16 323 0.5× 48 0.3× 32 0.3× 15 0.2× 153 2.2× 63 582
Leyla Özkan Netherlands 16 449 0.7× 22 0.2× 64 0.7× 35 0.5× 85 1.2× 53 811
M.T. Tham United Kingdom 17 900 1.4× 414 2.9× 53 0.6× 22 0.3× 184 2.6× 80 1.3k
John P. Eason United States 12 205 0.3× 56 0.4× 30 0.3× 104 1.4× 213 3.0× 20 549

Countries citing papers authored by David Rincón

Since Specialization
Citations

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

Fields of papers citing papers by David Rincón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Rincón

This figure shows the co-authorship network connecting the top 25 collaborators of David Rincón. A scholar is included among the top collaborators of David Rincón 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 David Rincón. David Rincón 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.
Rincón, David, et al.. (2024). Entropy Production and Filling Time in Hydrogen Refueling Stations: An Economic Assessment. Entropy. 26(9). 735–735. 1 indexed citations
2.
Rincón, David, et al.. (2023). Increasing energy efficiency of hydrogen refueling stations via optimal thermodynamic paths. International Journal of Hydrogen Energy. 50. 1138–1151. 5 indexed citations
3.
Wu, Zhe, David Rincón, Junwei Luo, & Panagiotis D. Christofides. (2021). Machine learning modeling and predictive control of nonlinear processes using noisy data. AIChE Journal. 67(4). 46 indexed citations
4.
Wu, Zhe, David Rincón, Quanquan Gu, & Panagiotis D. Christofides. (2021). Statistical Machine Learning in Model Predictive Control of Nonlinear Processes. Mathematics. 9(16). 1912–1912. 40 indexed citations
5.
Alhajeri, Mohammed S., Zhe Wu, David Rincón, Fahad Albalawi, & Panagiotis D. Christofides. (2021). Machine-learning-based state estimation and predictive control of nonlinear processes. Process Safety and Environmental Protection. 167. 268–280. 35 indexed citations
6.
Wu, Zhe, David Rincón, Junwei Luo, & Panagiotis D. Christofides. (2021). Handling Noisy Data in Machine Learning Modeling and Predictive Control of Nonlinear Processes. 3345–3351. 3 indexed citations
7.
Rincón, David, et al.. (2021). Budget-constrained economic model predictive control: A user-friendly proposal for HVAC. Process Safety and Environmental Protection. 176. 229–242. 2 indexed citations
8.
Chen, Scarlett, Zhe Wu, David Rincón, & Panagiotis D. Christofides. (2020). Machine learning‐based distributed model predictive control of nonlinear processes. AIChE Journal. 66(11). 43 indexed citations
9.
Wu, Zhe, David Rincón, & Panagiotis D. Christofides. (2020). Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes. Journal of Process Control. 89. 74–84. 98 indexed citations
10.
Wu, Zhe, Scarlett Chen, David Rincón, & Panagiotis D. Christofides. (2020). Post cyber-attack state reconstruction for nonlinear processes using machine learning. Process Safety and Environmental Protection. 159. 248–261. 21 indexed citations
11.
Wu, Zhe, David Rincón, & Panagiotis D. Christofides. (2020). Incorporating Structural Process Knowledge in Recurrent Neural Network Modeling of Nonlinear Processes. 2413–2418. 2 indexed citations
12.
Zhang, Zhihao, Zhe Wu, David Rincón, & Panagiotis D. Christofides. (2019). Real-Time Optimization and Control of Nonlinear Processes Using Machine Learning. Mathematics. 7(10). 890–890. 57 indexed citations
13.
Zhang, Zhihao, et al.. (2019). Operational safety of chemical processes via Safeness-Index based MPC: Two large-scale case studies. Computers & Chemical Engineering. 125. 204–215. 17 indexed citations
14.
Zhang, Zhihao, Zhe Wu, David Rincón, & Panagiotis D. Christofides. (2019). Operational safety of an ammonia process network via model predictive control. Process Safety and Environmental Protection. 146. 277–289. 5 indexed citations
15.
Wu, Zhe, Anh Tran, David Rincón, & Panagiotis D. Christofides. (2019). Machine‐learning‐based predictive control of nonlinear processes. Part II: Computational implementation. AIChE Journal. 65(11). 112 indexed citations
16.
Wu, Zhe, David Rincón, & Panagiotis D. Christofides. (2019). Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes. Industrial & Engineering Chemistry Research. 59(6). 2275–2290. 83 indexed citations
17.
Zhang, Zhihao, Zhe Wu, David Rincón, & Panagiotis D. Christofides. (2019). Operational safety via model predictive control: The Torrance refinery accident revisited. Process Safety and Environmental Protection. 149. 138–146. 4 indexed citations
18.
Wu, Zhe, Anh Tran, David Rincón, & Panagiotis D. Christofides. (2019). Machine learning‐based predictive control of nonlinear processes. Part I: Theory. AIChE Journal. 65(11). 195 indexed citations
19.
Rincón, David, G. Roux, & Fernando V. Lima. (2015). A Novel ARX-Based Approach for the Steady-State Identification Analysis of Industrial Depropanizer Column Datasets. Processes. 3(2). 257–285. 6 indexed citations
20.
Rincón, David, et al.. (2012). Calorimetric Estimation Employing the Unscented Kalman Filter for a Batch Emulsion Polymerization Reactor. Macromolecular Reaction Engineering. 7(1). 24–35. 13 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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