Diego Muñoz‐Carpintero

468 total citations
31 papers, 338 citations indexed

About

Diego Muñoz‐Carpintero is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Building and Construction. According to data from OpenAlex, Diego Muñoz‐Carpintero has authored 31 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 16 papers in Electrical and Electronic Engineering and 5 papers in Building and Construction. Recurrent topics in Diego Muñoz‐Carpintero's work include Advanced Control Systems Optimization (12 papers), Fault Detection and Control Systems (9 papers) and Microgrid Control and Optimization (5 papers). Diego Muñoz‐Carpintero is often cited by papers focused on Advanced Control Systems Optimization (12 papers), Fault Detection and Control Systems (9 papers) and Microgrid Control and Optimization (5 papers). Diego Muñoz‐Carpintero collaborates with scholars based in Chile, United Kingdom and Colombia. Diego Muñoz‐Carpintero's co-authors include Doris Sáez, B. Kouvaritakis, Mark Cannon, Alfredo Núñez, Cristián E. Cortés, Luis G. Marín, Mark Sumner, Marcos E. Orchard, Claudio Burgos-Mellado and Costas J. Spanos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and IEEE Transactions on Industrial Electronics.

In The Last Decade

Diego Muñoz‐Carpintero

29 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Muñoz‐Carpintero Chile 13 193 133 84 74 38 31 338
Bianca Caiazzo Italy 9 172 0.9× 92 0.7× 77 0.9× 68 0.9× 12 0.3× 29 323
Jinqiang Liu China 10 126 0.7× 142 1.1× 144 1.7× 12 0.2× 38 1.0× 25 343
Tingqi Zhang China 8 146 0.8× 341 2.6× 38 0.5× 44 0.6× 43 1.1× 18 468
Nasibeh Zohrabi United States 9 181 0.9× 205 1.5× 68 0.8× 9 0.1× 54 1.4× 28 368
Aurélien Froger France 6 57 0.3× 203 1.5× 198 2.4× 212 2.9× 49 1.3× 9 398
Mireille Jacomino France 10 67 0.3× 258 1.9× 19 0.2× 67 0.9× 111 2.9× 29 364
Kishor V. Bhadane India 8 82 0.4× 155 1.2× 106 1.3× 10 0.1× 18 0.5× 20 294
Hajir Pourbabak United States 12 302 1.6× 592 4.5× 169 2.0× 23 0.3× 33 0.9× 21 658
Ludovica Adacher Italy 12 181 0.9× 45 0.3× 75 0.9× 44 0.6× 118 3.1× 42 361
Halil Çimen Türkiye 9 197 1.0× 341 2.6× 30 0.4× 26 0.4× 57 1.5× 17 452

Countries citing papers authored by Diego Muñoz‐Carpintero

Since Specialization
Citations

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

Fields of papers citing papers by Diego Muñoz‐Carpintero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Muñoz‐Carpintero. 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 Diego Muñoz‐Carpintero. The network helps show where Diego Muñoz‐Carpintero may publish in the future.

Co-authorship network of co-authors of Diego Muñoz‐Carpintero

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Muñoz‐Carpintero. A scholar is included among the top collaborators of Diego Muñoz‐Carpintero 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 Diego Muñoz‐Carpintero. Diego Muñoz‐Carpintero 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.
Nešić, Dragan, et al.. (2024). Transmit power policies for stochastic stabilisation of multi-link wireless networked control systems. Automatica. 171. 111936–111936.
2.
Burgos-Mellado, Claudio, et al.. (2024). Single-Phase Frequency-Fixed All-Pass Filter QT1-PLL With Inherent DC Offset Suppression. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 1 indexed citations
3.
Burgos-Mellado, Claudio, et al.. (2024). Robust Band-Pass Filter-Based PLL-Less Approach for Three-Phase Nonsinusoidal Grid Conditions. SHILAP Revista de lepidopterología. 3. 1–15. 3 indexed citations
4.
Ahmed, Hafiz, et al.. (2023). Enhanced two consecutive samples based de-modulation technique for atomic force microscopy application. Measurement. 223. 113731–113731. 1 indexed citations
5.
Burgos-Mellado, Claudio, et al.. (2023). Reinforcement Learning-Based False Data Injection Attacks Detector for Modular Multilevel Converters. IEEE Transactions on Industrial Electronics. 71(7). 7927–7937. 3 indexed citations
6.
7.
Gómez, Juan S., Enrique Espina, Claudio Burgos-Mellado, et al.. (2022). Distributed Model-Based Predictive Secondary Control for Hybrid AC/DC Microgrids. IEEE Journal of Emerging and Selected Topics in Power Electronics. 11(1). 627–642. 26 indexed citations
8.
Muñoz‐Carpintero, Diego, et al.. (2021). Solving in real-time the dynamic and stochastic shortest path problem for electric vehicles by a prognostic decision making strategy. Expert Systems with Applications. 184. 115489–115489. 15 indexed citations
9.
Marín, Luis G., et al.. (2019). Hierarchical Energy Management System for Microgrid Operation Based on Robust Model Predictive Control. Energies. 12(23). 4453–4453. 36 indexed citations
10.
Muñoz‐Carpintero, Diego, et al.. (2018). An Approach to Prognosis-Decision-Making for Route Calculation of an Electric Vehicle Considering Stochastic Traffic Information. PHM Society European Conference. 4(1). 2 indexed citations
11.
Muñoz‐Carpintero, Diego, et al.. (2018). A Robust Predictive Control Strategy for Building HVAC Systems Based on Interval Fuzzy Models. 1–8. 12 indexed citations
12.
Muñoz‐Carpintero, Diego, et al.. (2018). A new method for identification of fuzzy models with controllability constraints. Applied Soft Computing. 73. 254–262. 2 indexed citations
13.
Muñoz‐Carpintero, Diego, B. Kouvaritakis, & Mark Cannon. (2016). Striped Parameterized Tube Model Predictive Control. Automatica. 67. 303–309. 13 indexed citations
14.
Muñoz‐Carpintero, Diego, Mark Cannon, & B. Kouvaritakis. (2015). Robust MPC strategy with optimized polytopic dynamics for linear systems with additive and multiplicative uncertainty. Systems & Control Letters. 81. 34–41. 28 indexed citations
15.
Muñoz‐Carpintero, Diego, B. Kouvaritakis, & Mark Cannon. (2014). Striped Parameterized Tube Model Predictive Control. IFAC Proceedings Volumes. 47(3). 11998–12003. 6 indexed citations
16.
Cheng, Qifeng, Diego Muñoz‐Carpintero, Mark Cannon, & B. Kouvaritakis. (2013). Efficient robust output feedback MPC. Chinese Control Conference. 4149–4154. 1 indexed citations
17.
Muñoz‐Carpintero, Diego, Mark Cannon, & B. Kouvaritakis. (2013). Recursively feasible Robust MPC for linear systems with additive and multiplicative uncertainty using optimized polytopic dynamics. 1101–1106. 11 indexed citations
18.
Raković, Saša V., Diego Muñoz‐Carpintero, Mark Cannon, & B. Kouvaritakis. (2012). Offline tube design for efficient implementation of parameterized tube model predictive control. 5176–5181. 4 indexed citations
19.
Muñoz‐Carpintero, Diego, Mark Cannon, & B. Kouvaritakis. (2011). On prediction strategies in stochastic MPC. 249–254. 2 indexed citations
20.
Muñoz‐Carpintero, Diego, Alfredo Núñez, Doris Sáez, & Cristián E. Cortés. (2010). Evolutionary algorithms and fuzzy clustering for control of a dynamic vehicle routing problem oriented to user policy. 1. 1–8. 2 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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