David Rincón

1.1k citations
25 papers · 871 · 1 hit paper · h-index 12

Impact in

Papers in

David Rincón

24 papers receiving 846 citations

David Rincón's Hit Papers

Machine learning‐based predictive control of nonlinear processes. Part I: Theory 2019 · 205 citations
2050+2+4Years since publication50100150200

Peers

David Rincón
Comparison fields: 5 of 69
  • Control and Systems Engineering 667
  • Statistical and Nonlinear Physics 74
  • Artificial Intelligence 141
  • Statistics, Probability and Uncertainty 26
  • Ocean Engineering 32
Replace Fahad Albalawi with:
Fahad Albalawi Saudi Arabia
Atharv Bhosekar United States
John P. Eason United States
Calvin Tsay United Kingdom
Mehmet Mercangöz United Kingdom
Michael G. Forbes Canada
M. Khalid Malaysia
Zhenyu Wang China
Fahim Abdullah United States
Rishi Amrit United States
David Rincón relative to Fahad Albalawi Saudi Arabia Fahad Albalawi's profile →
Citations per field
00.5×2×3×3.7×
Fahad Albalawi · 1×
Citations per year

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-authors

The 11 scholars most cited alongside David Rincón, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Rincón Line = papers co-authored together David Rincón links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine learning‐based predictive control of nonlinear processes. Part I: Theory
Hit paper breakdown →
2019205
2 2019118
3 2020106
4 201985
5 201964
6 202149
7 202045
8 202142
9 202135
10 202131
11 202023
12 201920
13 201911
14 20208
15 20196
16 20235
17 20214
18 20194
19 20203
20 20202

About David Rincón

David Rincón is a scholar working on Control and Systems Engineering, Artificial Intelligence, Ocean Engineering, Aerospace Engineering and Building and Construction, having authored 25 papers that have together received 871 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (22 papers), Fault Detection and Control Systems (20 papers), Control Systems and Identification (9 papers), Process Optimization and Integration (3 papers), Neural Networks and Applications (3 papers), Fuel Cells and Related Materials (2 papers), Spacecraft and Cryogenic Technologies (2 papers) and Reservoir Engineering and Simulation Methods (2 papers). The work is most often cited by research in Control and Systems Engineering (667 citations), Statistical and Nonlinear Physics (74 citations), Artificial Intelligence (141 citations), Statistics, Probability and Uncertainty (26 citations) and Ocean Engineering (32 citations). David Rincón has collaborated with scholars based in United States, Colombia and Spain. Frequent co-authors include Zhe Wu, Panagiotis D. Christofides, Anh Tran, Zhihao Zhang, Junwei Luo, Scarlett Chen, Quanquan Gu, Fahad Albalawi, Mohammed S. Alhajeri and Zhihao Zhang. Their work appears in journals such as Process Safety and Environmental Protection, AIChE Journal, Computers & Chemical Engineering, Journal of Process Control and Industrial & Engineering Chemistry Research.

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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