Daniel Guillén

717 total citations
60 papers, 507 citations indexed

About

Daniel Guillén is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Materials Chemistry. According to data from OpenAlex, Daniel Guillén has authored 60 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 46 papers in Control and Systems Engineering and 6 papers in Materials Chemistry. Recurrent topics in Daniel Guillén's work include Power Systems Fault Detection (22 papers), Microgrid Control and Optimization (19 papers) and Power Transformer Diagnostics and Insulation (12 papers). Daniel Guillén is often cited by papers focused on Power Systems Fault Detection (22 papers), Microgrid Control and Optimization (19 papers) and Power Transformer Diagnostics and Insulation (12 papers). Daniel Guillén collaborates with scholars based in Mexico, United Kingdom and Brazil. Daniel Guillén's co-authors include Mario R. Arrieta Paternina, Alejandro Zamora‐Mendez, Jonathan C. Mayo‐Maldonado, Luis M. Castro, Jesús E. Valdez-Reséndiz, Rubén Tapia-Olvera, G. Escobar, Juan M. Ramı́rez, Frédéric Trillaud and Enrique E. Mombello and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Industry Applications.

In The Last Decade

Daniel Guillén

51 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Guillén Mexico 14 450 367 44 44 29 60 507
G. Buigues Spain 14 454 1.0× 409 1.1× 32 0.7× 49 1.1× 49 1.7× 36 541
José Antônio Jardini Brazil 10 419 0.9× 255 0.7× 87 2.0× 50 1.1× 77 2.7× 37 521
Faramarz Faghihi Iran 12 406 0.9× 177 0.5× 71 1.6× 31 0.7× 27 0.9× 56 479
Mehdi Nafar Iran 12 323 0.7× 175 0.5× 59 1.3× 19 0.4× 34 1.2× 55 460
Jože Pihler Slovenia 11 343 0.8× 189 0.5× 85 1.9× 86 2.0× 45 1.6× 50 467
Mahmoud Gilany Egypt 13 549 1.2× 568 1.5× 72 1.6× 58 1.3× 93 3.2× 48 664
Matilde de Apráiz Spain 11 414 0.9× 192 0.5× 15 0.3× 18 0.4× 21 0.7× 32 454
Waldemar Rebizant Poland 15 693 1.5× 610 1.7× 60 1.4× 109 2.5× 51 1.8× 74 794
Petr Toman Czechia 9 290 0.6× 234 0.6× 25 0.6× 28 0.6× 58 2.0× 85 364
Mukesh Nagpal Canada 15 684 1.5× 562 1.5× 18 0.4× 39 0.9× 60 2.1× 34 766

Countries citing papers authored by Daniel Guillén

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Guillén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Guillén

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Guillén. A scholar is included among the top collaborators of Daniel Guillén 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 Guillén. Daniel Guillén 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.
Beltrán-Carbajal, Francisco, et al.. (2025). Hybrid Empirical and Variational Mode Decomposition of Vibratory Signals. Algorithms. 18(1). 25–25.
2.
Castro, Luis M., et al.. (2025). Dynamic modeling of VSC-based distributed energy resources for efficient three-phase power network studies. Electric Power Systems Research. 250. 112158–112158.
3.
Valdez-Reséndiz, Jesús E., et al.. (2025). Data-Driven Modeling of Battery-Based Energy Storage Systems. IEEE Transactions on Industrial Electronics. 72(8). 8184–8196. 1 indexed citations
4.
Guillén, Daniel, et al.. (2024). Data-Driven Optimal Voltage Performance Index Tracking in Active Distribution Networks. IEEE Transactions on Smart Grid. 15(5). 4804–4818. 7 indexed citations
5.
Guillén, Daniel, et al.. (2024). Reconfiguration of active distribution networks as a means to address generation and consumption dynamic variability. IET Generation Transmission & Distribution. 18(19). 3120–3137.
6.
Valdez-Reséndiz, Jesús E., et al.. (2024). Data-Driven Modeling of DC–DC Power Converters. Electronics. 13(19). 3890–3890.
7.
Guillén, Daniel, et al.. (2024). Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources. IEEE Open Access Journal of Power and Energy. 11. 611–623. 1 indexed citations
8.
Valdez-Reséndiz, Jesús E., et al.. (2024). Data-Driven Modeling and Open-Circuit Voltage Estimation of Lithium-Ion Batteries. Mathematics. 12(18). 2880–2880.
9.
Castro, Luis M., et al.. (2024). Dynamic modelling framework for the analysis of fair-sized DC microgrids. International Journal of Electrical Power & Energy Systems. 158. 109912–109912. 1 indexed citations
10.
Guillén, Daniel, Luis M. Castro, & Rubén Tapia-Olvera. (2023). Statistical switching method to establish the minimal requirements of insulation coordination in double-circuit transmission lines. Electrical Engineering. 106(3). 2233–2244.
11.
Sotelo, Guilherme Gonçalves, et al.. (2022). Impact of superconducting fault current limiters on Delayed Current Zeros in industrial power systems. International Journal of Electrical Power & Energy Systems. 145. 108594–108594. 10 indexed citations
12.
Castro, Luis M., et al.. (2022). On the modelling of DC microgrids for steady-state power flow studies. Electric Power Systems Research. 207. 107868–107868. 6 indexed citations
13.
Escobar, G., et al.. (2021). From Real to Complex FLL With Unbalance and Harmonic Distortion Compensation. IEEE Access. 9. 158710–158725. 2 indexed citations
14.
Rincón, David, Daniel Guillén, Jonathan C. Mayo‐Maldonado, Jesús E. Valdez-Reséndiz, & G. Escobar. (2021). Power Grid Dynamic Performance Enhancement via STATCOM Data-Driven Control. Mathematics. 9(19). 2361–2361. 4 indexed citations
15.
Guillén, Daniel, et al.. (2021). A Fourier-Based Phasor Estimator With a Modified Moving Average Filter and Its Application in Distribution Networks. IEEE Transactions on Industrial Informatics. 18(1). 698–706. 13 indexed citations
16.
Guillén, Daniel, et al.. (2021). Optimal micro-PMU placement and virtualization for distribution network changing topologies. Sustainable Energy Grids and Networks. 27. 100510–100510. 15 indexed citations
17.
Guillén, Daniel, et al.. (2020). Índice de bloqueo para mejorar la protección diferencial de secuencia negativa de transformadores utilizando ATP/EMTP. Ingeniería Investigación y Tecnología. 22(1). 1–13. 1 indexed citations
18.
Guillén, Daniel, et al.. (2020). Data‐driven short‐circuit detection and location in microgrids using micro‐synchrophasors. IET Generation Transmission & Distribution. 14(7). 1353–1365. 10 indexed citations
19.
Martínez, Ernesto Vázquez, et al.. (2019). Extended second central moment approach to detect turn‐to‐turn faults in power transformers. IET Electric Power Applications. 13(6). 766–775. 7 indexed citations
20.
Salas, Christian, et al.. (2018). Transient analysis in distribution networks using resistive superconducting fault current limiters. 2018 Simposio Brasileiro de Sistemas Eletricos (SBSE). 1–6. 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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