Daniel Limón

6.2k total citations · 1 hit paper
166 papers, 4.3k citations indexed

About

Daniel Limón is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Limón has authored 166 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Control and Systems Engineering, 16 papers in Electrical and Electronic Engineering and 9 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Limón's work include Advanced Control Systems Optimization (133 papers), Fault Detection and Control Systems (95 papers) and Control Systems and Identification (67 papers). Daniel Limón is often cited by papers focused on Advanced Control Systems Optimization (133 papers), Fault Detection and Control Systems (95 papers) and Control Systems and Identification (67 papers). Daniel Limón collaborates with scholars based in Spain, Brazil and Argentina. Daniel Limón's co-authors include Teodoro Álamo, Eduardo F. Camacho, I. Alvarado, Antonio Ferramosca, David Muñoz de la Peña, Francisco Salas, M. Pereira, D.R. Ramı́rez, Alejandro H. González and Jan-Peter Calliess and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Daniel Limón

161 papers receiving 4.1k citations

Hit Papers

MPC for tracking piecewise constant references for constr... 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Limón Spain 34 3.7k 458 272 222 191 166 4.3k
María M. Serón Australia 30 4.5k 1.2× 728 1.6× 168 0.6× 336 1.5× 225 1.2× 219 5.2k
David Muñoz de la Peña Spain 31 3.6k 1.0× 512 1.1× 282 1.0× 496 2.2× 133 0.7× 144 4.2k
J.A. Rossiter United Kingdom 31 4.3k 1.2× 545 1.2× 223 0.8× 131 0.6× 143 0.7× 264 5.0k
Thomas A. Badgwell United States 13 4.0k 1.1× 557 1.2× 201 0.7× 117 0.5× 188 1.0× 31 4.6k
Saša V. Raković United Kingdom 29 5.1k 1.4× 493 1.1× 264 1.0× 242 1.1× 123 0.6× 105 5.6k
Marcello Farina Italy 26 2.2k 0.6× 641 1.4× 133 0.5× 425 1.9× 469 2.5× 140 2.9k
Michal Kvasnica Slovakia 22 2.0k 0.5× 566 1.2× 101 0.4× 98 0.4× 124 0.6× 115 2.6k
Ali Khaki Sedigh Iran 23 1.6k 0.4× 304 0.7× 99 0.4× 230 1.0× 407 2.1× 240 2.4k
Jamshed Iqbal Pakistan 37 1.7k 0.5× 562 1.2× 170 0.6× 222 1.0× 266 1.4× 175 3.6k
David M. Prett United States 6 3.3k 0.9× 505 1.1× 170 0.6× 167 0.8× 234 1.2× 7 4.1k

Countries citing papers authored by Daniel Limón

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Limón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Limón

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Limón. A scholar is included among the top collaborators of Daniel Limón 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 Daniel Limón. Daniel Limón 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.
Limón, Daniel, et al.. (2025). Harmonic Model Predictive Control for Tracking Sinusoidal References and Its Application to Trajectory Tracking. IEEE Transactions on Automatic Control. 70(8). 5475–5482.
2.
Luque, Ignacio, et al.. (2025). Model predictive control for tracking with implicit invariant sets. Automatica. 179. 112436–112436.
3.
Fele, Filiberto, et al.. (2024). Predicción de voltajes en la red eléctrica por interpolación Kriging. Revista Iberoamericana de Automática e Informática Industrial RIAI. 22(2). 112–119.
4.
Rebollo, J., Rafael Vázquez, I. Alvarado, & Daniel Limón. (2024). MPC for Tracking applied to rendezvous with non-cooperative tumbling targets ensuring stability and feasibility. 8264–8269. 1 indexed citations
5.
Köhler, Johannes, Antonio Ferramosca, I. Alvarado, et al.. (2024). Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation. Aisberg (University of Bergamo). 2977–2991. 1 indexed citations
6.
Limón, Daniel, et al.. (2023). Real-Time Implementation of Predictive Control in Power Inverters Based on Nearest Neighbor Searching. IEEE Transactions on Power Electronics. 39(1). 384–397. 6 indexed citations
7.
Peña, David Muñoz de la, et al.. (2023). Safe Optimal Vessel Planning on Natural Inland Waterways. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9378–9389. 4 indexed citations
8.
Limón, Daniel, et al.. (2023). Multirate Predictive Control for Diode Clamped Inverters with Data-Based Learning Implementation. IFAC-PapersOnLine. 56(2). 6388–6393. 2 indexed citations
9.
Alvarado, I., et al.. (2022). Real-time implementation of MPC for tracking in embedded systems: application to a two-wheeled inverted pendulum. idUS (Universidad de Sevilla). 3 indexed citations
10.
Alvarado, I., et al.. (2022). Implementation of model predictive control for tracking in embedded systems using a sparse extended ADMM algorithm. idUS (Universidad de Sevilla). 15 indexed citations
11.
Alvarado, I., et al.. (2022). Tractable robust MPC design based on nominal predictions. idUS (Universidad de Sevilla). 7 indexed citations
12.
Hosseinzadeh, Mehdi, et al.. (2021). Reference dependent invariant sets: Sum of squares based computation and applications in constrained control. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 12 indexed citations
13.
Limón, Daniel, et al.. (2019). Data-based Robust MPC with Componentwise Hölder Kinky Inference. 6449–6454. 3 indexed citations
14.
Pereira, M., David Muñoz de la Peña, & Daniel Limón. (2016). Robust economic model predictive control of a community micro-grid. Renewable Energy. 100. 3–17. 29 indexed citations
15.
Ferramosca, Antonio, et al.. (2011). Optimal MPC for tracking of constrained linear systems. International Journal of Systems Science. 42(8). 1265–1276. 26 indexed citations
16.
Garcı́a, Esperanza, Daniel Limón, Verónica Pérez de la Cruz, et al.. (2008). Lipid peroxidation, mitochondrial dysfunction and neurochemical and behavioural deficits in different neurotoxic models: Protective role of S-allylcysteine. Free Radical Research. 42(10). 892–902. 50 indexed citations
17.
Fiacchini, Mirko, I. Alvarado, Daniel Limón, Teodoro Álamo, & Eduardo F. Camacho. (2006). Predictive control of a Linear Motor for tracking of constant references. 39. 4526–4531. 6 indexed citations
18.
Álamo, Teodoro, et al.. (2006). SYNTHESIS OF ROBUST SATURATED CONTROLLERS: AN SNS-APPROACH. IFAC Proceedings Volumes. 39(9). 477–482. 4 indexed citations
19.
Limón, Daniel, I. Alvarado, Teodoro Álamo, & Eduardo F. Camacho. (2005). MPC FOR TRACKING OF PIECE-WISE CONSTANT REFERENCES FOR CONSTRAINED LINEAR SYSTEMS. IFAC Proceedings Volumes. 38(1). 135–140. 86 indexed citations
20.
Pérez‐Severiano, Francisca, Jorge Guevara, Daniel Limón, et al.. (2004). S-Allylcysteine prevents amyloid-β peptide-induced oxidative stress in rat hippocampus and ameliorates learning deficits. European Journal of Pharmacology. 489(3). 197–202. 72 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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