Paúl Arévalo

2.0k total citations
76 papers, 1.3k citations indexed

About

Paúl Arévalo is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Paúl Arévalo has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Electrical and Electronic Engineering, 38 papers in Control and Systems Engineering and 25 papers in Automotive Engineering. Recurrent topics in Paúl Arévalo's work include Microgrid Control and Optimization (33 papers), Electric Vehicles and Infrastructure (26 papers) and Smart Grid Energy Management (23 papers). Paúl Arévalo is often cited by papers focused on Microgrid Control and Optimization (33 papers), Electric Vehicles and Infrastructure (26 papers) and Smart Grid Energy Management (23 papers). Paúl Arévalo collaborates with scholars based in Spain, Ecuador and Egypt. Paúl Arévalo's co-authors include Francisco Jurado, Antonio Caño, Marcos Tostado‐Véliz, Darío Benavides, Danny Ochoa-Correa, José A. Aguado, Salah Kamel, Daniel Icaza, Hossam M. Zawbaa and Miguel A. Egido-Aguilera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Applied Energy.

In The Last Decade

Paúl Arévalo

69 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paúl Arévalo Spain 23 892 432 426 295 210 76 1.3k
Juan M. Lujano‐Rojas Portugal 18 1.1k 1.2× 447 1.0× 544 1.3× 379 1.3× 218 1.0× 61 1.4k
Imtiaz Ashraf India 20 1.0k 1.2× 289 0.7× 418 1.0× 422 1.4× 177 0.8× 76 1.3k
Kotb M. Kotb Egypt 18 709 0.8× 627 1.5× 409 1.0× 218 0.7× 341 1.6× 51 1.3k
Henerica Tazvinga South Africa 16 749 0.8× 450 1.0× 456 1.1× 201 0.7× 291 1.4× 42 1.3k
Xiao Xu China 19 951 1.1× 588 1.4× 392 0.9× 208 0.7× 234 1.1× 36 1.2k
Abba Lawan Bukar Malaysia 16 889 1.0× 770 1.8× 587 1.4× 254 0.9× 348 1.7× 43 1.3k
Mohammed Elsayed Lotfy Egypt 26 1.2k 1.3× 460 1.1× 815 1.9× 237 0.8× 238 1.1× 77 1.5k
Vahid Sohrabi Tabar Iran 23 1.2k 1.4× 485 1.1× 671 1.6× 158 0.5× 155 0.7× 47 1.5k
Sk. A. Shezan Australia 19 882 1.0× 717 1.7× 566 1.3× 213 0.7× 374 1.8× 62 1.3k
Ashkan Toopshekan Iran 12 602 0.7× 654 1.5× 277 0.7× 209 0.7× 432 2.1× 14 1.1k

Countries citing papers authored by Paúl Arévalo

Since Specialization
Citations

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

Fields of papers citing papers by Paúl Arévalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paúl Arévalo

This figure shows the co-authorship network connecting the top 25 collaborators of Paúl Arévalo. A scholar is included among the top collaborators of Paúl Arévalo 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 Paúl Arévalo. Paúl Arévalo 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.
Arévalo, Paúl, et al.. (2025). Improving V2G Systems Performance with Low-Pass Filter and Fuzzy Logic for PV Power Smoothing in Weak Low-Voltage Networks. Applied Sciences. 15(4). 1952–1952. 4 indexed citations
2.
Gonzalez, Felix M., Paúl Arévalo, & Luis Ramírez. (2025). Game Theory and Robust Predictive Control for Peer-to-Peer Energy Management: A Pathway to a Low-Carbon Economy. Sustainability. 17(5). 1780–1780. 5 indexed citations
3.
Arévalo, Paúl, et al.. (2025). Systematic Review of Hierarchical and Multi-Agent Optimization Strategies for P2P Energy Management and Electric Machines in Microgrids. Applied Sciences. 15(9). 4817–4817. 4 indexed citations
5.
Arévalo, Paúl, et al.. (2024). A Systematic Review on the Integration of Artificial Intelligence into Energy Management Systems for Electric Vehicles: Recent Advances and Future Perspectives. World Electric Vehicle Journal. 15(8). 364–364. 31 indexed citations
6.
Arévalo, Paúl & Francisco Jurado. (2024). Impact of Artificial Intelligence on the Planning and Operation of Distributed Energy Systems in Smart Grids. Energies. 17(17). 4501–4501. 45 indexed citations
7.
Benavides, Darío, et al.. (2024). Predictive power fluctuation mitigation in grid-connected PV systems with rapid response to EV charging stations. Journal of Energy Storage. 86. 111230–111230. 15 indexed citations
8.
Caño, Antonio, et al.. (2024). Energy Sources and Battery Thermal Energy Management Technologies for Electrical Vehicles: A Technical Comprehensive Review. Energies. 17(22). 5634–5634. 6 indexed citations
9.
Arévalo, Paúl, Antonio Caño, Darío Benavides, & Francisco Jurado. (2024). Fault analysis in clustered microgrids utilizing SVM-CNN and differential protection. Applied Soft Computing. 164. 112031–112031. 10 indexed citations
10.
Caño, Antonio, et al.. (2024). Rechargeable Li-Ion Batteries, Nanocomposite Materials and Applications. Batteries. 10(12). 413–413. 5 indexed citations
11.
Arévalo, Paúl, et al.. (2024). A data-driven approach to microgrid fault detection and classification using Taguchi-optimized CNNs and wavelet transform. Applied Soft Computing. 170. 112667–112667. 8 indexed citations
12.
Arévalo, Paúl, Darío Benavides, Marcos Tostado‐Véliz, José A. Aguado, & Francisco Jurado. (2023). Smart monitoring method for photovoltaic systems and failure control based on power smoothing techniques. Renewable Energy. 205. 366–383. 37 indexed citations
13.
Benavides, Darío, et al.. (2023). Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control. Energies. 17(1). 170–170. 2 indexed citations
14.
15.
Arévalo, Paúl, Antonio Caño, & Francisco Jurado. (2023). Large-scale integration of renewable energies by 2050 through demand prediction with ANFIS, Ecuador case study. Energy. 286. 129446–129446. 15 indexed citations
16.
Caño, Antonio, Paúl Arévalo, Darío Benavides, & Francisco Jurado. (2022). Comparative analysis of HESS (battery/supercapacitor) for power smoothing of PV/HKT, simulation and experimental analysis. Journal of Power Sources. 549. 232137–232137. 29 indexed citations
17.
Caño, Antonio, Paúl Arévalo, & Francisco Jurado. (2021). A comparison of sizing methods for a long-term renewable hybrid system. Case study: Galapagos Islands 2031. Sustainable Energy & Fuels. 5(5). 1548–1566. 15 indexed citations
18.
Arévalo, Paúl, et al.. (2021). Planning of electrical energy for the Galapagos Islands using different renewable energy technologies. Electric Power Systems Research. 203. 107660–107660. 44 indexed citations
19.
Caño, Antonio, Paúl Arévalo, Darío Benavides, & Francisco Jurado. (2021). Sustainable tramway, techno-economic analysis and environmental effects in an urban public transport. A comparative study. Sustainable Energy Grids and Networks. 26. 100462–100462. 24 indexed citations
20.
Arévalo, Paúl, Antonio Caño, & Francisco Jurado. (2020). Comparative study of two new energy control systems based on PEMFC for a hybrid tramway in Ecuador. International Journal of Hydrogen Energy. 45(46). 25357–25377. 26 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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