Jaime R. Arribas

749 total citations
29 papers, 566 citations indexed

About

Jaime R. Arribas is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Jaime R. Arribas has authored 29 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 10 papers in Control and Systems Engineering and 8 papers in Automotive Engineering. Recurrent topics in Jaime R. Arribas's work include Wind Turbine Control Systems (8 papers), Advanced Battery Technologies Research (7 papers) and Microgrid Control and Optimization (7 papers). Jaime R. Arribas is often cited by papers focused on Wind Turbine Control Systems (8 papers), Advanced Battery Technologies Research (7 papers) and Microgrid Control and Optimization (7 papers). Jaime R. Arribas collaborates with scholars based in Spain, France and United States. Jaime R. Arribas's co-authors include Dionisio Ramírez, Carlos A. Platero, C. Carrero, C. Veganzones, Marcos Lafoz, R. Castro, Francisco Cuadros Blázquez, Sergio Martínez, José A. Sánchez and Marcos Blanco and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Power Systems.

In The Last Decade

Jaime R. Arribas

27 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaime R. Arribas Spain 13 422 215 167 119 107 29 566
Nahla E. Zakzouk Egypt 12 415 1.0× 347 1.6× 281 1.7× 130 1.1× 90 0.8× 28 588
Manel Hammami Italy 14 501 1.2× 144 0.7× 185 1.1× 46 0.4× 135 1.3× 34 603
Sameh I. Selem Egypt 10 383 0.9× 115 0.5× 80 0.5× 82 0.7× 220 2.1× 18 469
Juan Manuel Enrique Spain 11 437 1.0× 430 2.0× 81 0.5× 208 1.7× 99 0.9× 20 593
Sanjay K. Jain India 12 393 0.9× 73 0.3× 169 1.0× 52 0.4× 59 0.6× 53 467
J. Rizk Australia 10 286 0.7× 115 0.5× 206 1.2× 90 0.8× 31 0.3× 66 436
Ahmed A. El-Sattar Egypt 14 553 1.3× 134 0.6× 414 2.5× 37 0.3× 65 0.6× 31 643
Naghmash Ali China 15 545 1.3× 152 0.7× 325 1.9× 48 0.4× 235 2.2× 31 653
A.N. Tiwari India 12 498 1.2× 88 0.4× 338 2.0× 71 0.6× 26 0.2× 59 605
Asmarashid Ponniran Malaysia 12 312 0.7× 79 0.4× 46 0.3× 71 0.6× 94 0.9× 59 424

Countries citing papers authored by Jaime R. Arribas

Since Specialization
Citations

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

Fields of papers citing papers by Jaime R. Arribas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaime R. Arribas

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime R. Arribas. A scholar is included among the top collaborators of Jaime R. Arribas 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 Jaime R. Arribas. Jaime R. Arribas 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.
2.
Arribas, Jaime R., et al.. (2023). Semi-empirical ageing model for LFP and NMC Li-ion battery chemistries. Journal of Energy Storage. 72. 108016–108016. 35 indexed citations
3.
Arribas, Jaime R., et al.. (2019). Strategies Comparison for Voltage Unbalance Mitigation in LV Distribution Networks Using EV Chargers. Electronics. 8(3). 289–289. 16 indexed citations
4.
Ramírez, Dionisio, et al.. (2019). Three-Phase Four-Switch Converter for SPMS Generators Based on Model Predictive Current Control for Wave Energy Applications. IEEE Transactions on Power Electronics. 35(1). 289–302. 26 indexed citations
5.
Platero, Carlos A., et al.. (2019). Novel Differential Protection Technique for Doubly Fed Induction Machines. IEEE Transactions on Industry Applications. 55(4). 3697–3706. 8 indexed citations
6.
Platero, Carlos A., et al.. (2018). New Differential Protection for Variable Speed Doubly Fed Induction Machines. 1906–1911. 2 indexed citations
7.
Veganzones, C., et al.. (2018). Four-Switch Three-Phase Operation of Grid-Side Converter of Doubly Fed Induction Generator With Three Vectors Predictive Direct Power Control Strategy. IEEE Transactions on Industrial Electronics. 66(10). 7741–7752. 23 indexed citations
8.
Lafoz, Marcos, et al.. (2017). Approach to Hybrid Energy Storage Systems Dimensioning for Urban Electric Buses Regarding Efficiency and Battery Aging. Energies. 10(11). 1708–1708. 17 indexed citations
9.
Veganzones, C., et al.. (2016). Improved Predictive Direct Power Control of Doubly Fed Induction Generator During Unbalanced Grid Voltage Based on Four Vectors. IEEE Journal of Emerging and Selected Topics in Power Electronics. 5(2). 695–707. 42 indexed citations
10.
Blanco, Marcos, et al.. (2015). Educational Project for the Teaching of Control of Electric Traction Drives. Energies. 8(2). 921–938. 10 indexed citations
11.
Lafoz, Marcos, et al.. (2013). Flexible low-cost system to test batteries and ultracapacitors for electric and hybrid vehicles in real working conditions. Archivo Digital UPM (Universidad Politécnica de Madrid). 2. 1–11. 6 indexed citations
12.
Lafoz, Marcos, et al.. (2013). Energy storage systems for electric vehicles: Performance comparison based on a simple equivalent circuit and experimental tests. Archivo Digital UPM (Universidad Politécnica de Madrid). 57. 1–11. 3 indexed citations
13.
Medina, Pilar, et al.. (2013). Flexible low-cost system to test batteries andultracapacitors for electric and hybrid vehicles in realworking conditions. 3 indexed citations
14.
Lafoz, Marcos, et al.. (2012). Evaluation of the Magnetic Field Generated by the Inverter of an Electric Vehicle. IEEE Transactions on Magnetics. 49(2). 837–844. 18 indexed citations
15.
Martínez, Sergio, et al.. (2011). A Learning Through Play Approach to the Development and Assessment of General Competences in Electrical Engineering Based on a Student Competition. International journal of engineering education. 27(4). 831–837. 2 indexed citations
16.
Blázquez, Francisco Cuadros, Jaime R. Arribas, C. Veganzones, Carlos A. Platero, & Dionisio Ramírez. (2010). Adaptation of the electric machines learning process to the european higher education area. 26(1). 40–51. 4 indexed citations
17.
Veganzones, C., José A. Sánchez, Sergio Martínez, et al.. (2010). Voltage dip generator for testing wind turbines connected to electrical networks. Renewable Energy. 36(5). 1588–1594. 12 indexed citations
18.
Carrero, C., Jaime R. Arribas, Dionisio Ramírez, & Carlos A. Platero. (2009). Simple estimation of PV modules loss resistances for low error modelling. Renewable Energy. 35(5). 1103–1108. 102 indexed citations
19.
Arribas, Jaime R., et al.. (2003). Optimal-time control of squirrel cage induction motors with constant load torque. 3. 2039–2044. 1 indexed citations
20.
Arribas, Jaime R., et al.. (2002). Optimal vector control of pumping and ventilation induction motor drives. IEEE Transactions on Industrial Electronics. 49(4). 889–895. 55 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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