D.R. Ramı́rez

1.5k total citations
66 papers, 1.1k citations indexed

About

D.R. Ramı́rez is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, D.R. Ramı́rez has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Control and Systems Engineering, 8 papers in Electrical and Electronic Engineering and 6 papers in Computational Theory and Mathematics. Recurrent topics in D.R. Ramı́rez's work include Advanced Control Systems Optimization (50 papers), Fault Detection and Control Systems (37 papers) and Control Systems and Identification (30 papers). D.R. Ramı́rez is often cited by papers focused on Advanced Control Systems Optimization (50 papers), Fault Detection and Control Systems (37 papers) and Control Systems and Identification (30 papers). D.R. Ramı́rez collaborates with scholars based in Spain, Italy and Belgium. D.R. Ramı́rez's co-authors include Teodoro Álamo, Eduardo F. Camacho, David Muñoz de la Peña, Daniel Limón, Carlos Bordons, Alicia Arce, Alejandro J. del Real, Roberto Tempo, Manuel R. Arahal and J.K. Gruber and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

D.R. Ramı́rez

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.R. Ramı́rez Spain 18 770 264 111 84 83 66 1.1k
Simone Paoletti Italy 16 984 1.3× 659 2.5× 66 0.6× 143 1.7× 61 0.7× 68 1.4k
Sergio Lucia Germany 23 1.5k 2.0× 330 1.3× 101 0.9× 135 1.6× 19 0.2× 104 2.0k
Enrique Baeyens Spain 16 707 0.9× 335 1.3× 31 0.3× 139 1.7× 30 0.4× 47 1.1k
Elena Gryazina Russia 13 401 0.5× 339 1.3× 68 0.6× 57 0.7× 29 0.3× 59 764
Xinjiang Lu China 18 457 0.6× 155 0.6× 94 0.8× 262 3.1× 27 0.3× 96 1.0k
David Schoenwald United States 18 605 0.8× 557 2.1× 78 0.7× 55 0.7× 63 0.8× 77 1.0k
Veronica Adetola United States 20 959 1.2× 235 0.9× 44 0.4× 78 0.9× 88 1.1× 71 1.4k
Helen Durand United States 20 1.2k 1.5× 160 0.6× 40 0.4× 59 0.7× 37 0.4× 83 1.6k
I. Alvarado Spain 18 1.4k 1.9× 141 0.5× 61 0.5× 49 0.6× 40 0.5× 42 1.6k

Countries citing papers authored by D.R. Ramı́rez

Since Specialization
Citations

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

Fields of papers citing papers by D.R. Ramı́rez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.R. Ramı́rez. 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 D.R. Ramı́rez. The network helps show where D.R. Ramı́rez may publish in the future.

Co-authorship network of co-authors of D.R. Ramı́rez

This figure shows the co-authorship network connecting the top 25 collaborators of D.R. Ramı́rez. A scholar is included among the top collaborators of D.R. Ramı́rez 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 D.R. Ramı́rez. D.R. Ramı́rez 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.
Ramı́rez, D.R., et al.. (2024). A data-driven CLF controller based on a kriged predictor. Zenodo (CERN European Organization for Nuclear Research). 2621–2626.
2.
Ramı́rez, D.R., et al.. (2023). Prediction regions based on dissimilarity functions. ISA Transactions. 139. 49–59. 3 indexed citations
3.
Ramı́rez, D.R., et al.. (2023). Kernel-Based State-Space Kriging for Predictive Control. IEEE/CAA Journal of Automatica Sinica. 10(5). 1263–1275. 11 indexed citations
4.
Arahal, Manuel R., et al.. (2022). A simple rotor current estimation method for predictive control of multi‐phase drives. International Journal of Circuit Theory and Applications. 50(12). 4478–4491. 2 indexed citations
5.
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
6.
Ramı́rez, D.R., et al.. (2021). Nonlinear MPC for Tracking for a Class of Nonconvex Admissible Output Sets. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 14 indexed citations
7.
Ramı́rez, D.R., et al.. (2021). Receding Horizon Optimization of Large Trade Orders. IEEE Access. 9. 63865–63875. 4 indexed citations
8.
Peña, David Muñoz de la, et al.. (2018). Historian Data Based Predictive Control of a Water Distribution Network. 1716–1721. 5 indexed citations
9.
Álamo, Teodoro, Roberto Tempo, Amalia Luque Sendra, & D.R. Ramı́rez. (2013). The Sample Complexity of Randomized Methods for Analysis and Design of Uncertain Systems. arXiv (Cornell University). 3 indexed citations
10.
Álamo, Teodoro, Antonio Luque, D.R. Ramı́rez, & Roberto Tempo. (2012). Randomized control design through probabilistic validation. 839–844. 10 indexed citations
11.
Camacho, Eduardo F., D.R. Ramı́rez, Daniel Limón, David Muñoz de la Peña, & Teodoro Álamo. (2010). Model predictive control techniques for hybrid systems. Annual Reviews in Control. 34(1). 21–31. 203 indexed citations
12.
Gruber, J.K., D.R. Ramı́rez, Teodoro Álamo, Carlos Bordons, & Eduardo F. Camacho. (2008). Min-Max Model Predictive Control of a pilot plant. 1115–1120. 8 indexed citations
13.
Álamo, Teodoro, Roberto Tempo, D.R. Ramı́rez, & Eduardo F. Camacho. (2008). A new vertex result for robustness problems with interval matrix uncertainty. Systems & Control Letters. 57(6). 474–481. 36 indexed citations
14.
Álamo, Teodoro, Roberto Tempo, D.R. Ramı́rez, & Eduardo F. Camacho. (2007). A new vertex result for robustness problems with interval matrix uncertainty. 5101–5107. 5 indexed citations
15.
Álamo, Teodoro, Roberto Tempo, D.R. Ramı́rez, & Eduardo F. Camacho. (2007). A sequentially optimal randomized algorithm for robust LMI feasibility problems. 3620–3627. 11 indexed citations
16.
Limón, Daniel, Francisco Salas, D.R. Ramı́rez, Teodoro Álamo, & Eduardo F. Camacho. (2006). A JAVA BASED SIMULATOR FOR BASIC CONTROL EDUCATION. IFAC Proceedings Volumes. 39(6). 481–486. 1 indexed citations
17.
Ramı́rez, D.R. & Eduardo F. Camacho. (2005). Piecewise affinity of min–max MPC with bounded additive uncertainties and a quadratic criterion. Automatica. 42(2). 295–302. 18 indexed citations
18.
Peña, David Muñoz de la, Teodoro Álamo, D.R. Ramı́rez, & Eduardo F. Camacho. (2005). MIN-MAX MODEL PREDICTIVE CONTROL AS A QUADRATIC PROGRAM. IFAC Proceedings Volumes. 38(1). 263–268. 16 indexed citations
19.
Peña, David Muñoz de la, D.R. Ramı́rez, Eduardo F. Camacho, & Teodoro Álamo. (2005). Explicit solution of min–max MPC with additive uncertainties and quadratic criterion. Systems & Control Letters. 55(4). 266–274. 21 indexed citations
20.
Ramı́rez, D.R. & Eduardo F. Camacho. (2003). Characterization of min-max MPC with bounded uncertainties and a quadratic criterion. 1. 358–363. 17 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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