F.J. Asensio

1.4k total citations
38 papers, 1.1k citations indexed

About

F.J. Asensio is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, F.J. Asensio has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 15 papers in Automotive Engineering and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in F.J. Asensio's work include Electric Vehicles and Infrastructure (13 papers), Advanced Battery Technologies Research (13 papers) and Electrocatalysts for Energy Conversion (5 papers). F.J. Asensio is often cited by papers focused on Electric Vehicles and Infrastructure (13 papers), Advanced Battery Technologies Research (13 papers) and Electrocatalysts for Energy Conversion (5 papers). F.J. Asensio collaborates with scholars based in Spain, Portugal and France. F.J. Asensio's co-authors include I. Zamora, J.I. San Martín, J. García-Villalobos, O. Oñederra, V. Aperribay, G. Saldaña, Francisca Vicente, Olga Genilloud, José R. Tormo and Maria Cândida Monteiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

F.J. Asensio

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F.J. Asensio Spain 14 750 592 117 101 87 38 1.1k
Chih-Hung Hung Taiwan 14 378 0.5× 63 0.1× 137 1.2× 93 0.9× 156 1.8× 24 750
Xiaomin Xi China 11 458 0.6× 345 0.6× 145 1.2× 37 0.4× 88 1.0× 14 756
Tahir Ali Khan China 19 319 0.4× 97 0.2× 139 1.2× 83 0.8× 127 1.5× 92 1.3k
Meiqing Li China 21 409 0.5× 111 0.2× 68 0.6× 33 0.3× 347 4.0× 63 1.1k
Yonglu Liu China 23 1.6k 2.2× 452 0.8× 672 5.7× 117 1.2× 55 0.6× 134 2.0k
N. Karuppiah India 13 496 0.7× 213 0.4× 231 2.0× 136 1.3× 145 1.7× 99 941
Zhenbiao Li China 19 607 0.8× 66 0.1× 64 0.5× 35 0.3× 81 0.9× 77 1.1k
Arijit Guha India 13 488 0.7× 575 1.0× 161 1.4× 4 0.0× 227 2.6× 35 1.5k
Yu Su China 17 455 0.6× 67 0.1× 288 2.5× 20 0.2× 115 1.3× 71 768
Md Mahmud Bangladesh 11 438 0.6× 347 0.6× 118 1.0× 32 0.3× 32 0.4× 38 748

Countries citing papers authored by F.J. Asensio

Since Specialization
Citations

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

Fields of papers citing papers by F.J. Asensio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.J. Asensio. 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 F.J. Asensio. The network helps show where F.J. Asensio may publish in the future.

Co-authorship network of co-authors of F.J. Asensio

This figure shows the co-authorship network connecting the top 25 collaborators of F.J. Asensio. A scholar is included among the top collaborators of F.J. Asensio 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 F.J. Asensio. F.J. Asensio 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.
Uribe-Pérez, Noelia, et al.. (2024). Communications and Data Science for the Success of Vehicle-to-Grid Technologies: Current State and Future Trends. Electronics. 13(10). 1940–1940. 16 indexed citations
2.
Asensio, F.J., et al.. (2024). A grid forming controller with integrated state of charge management for V2G chargers. International Journal of Electrical Power & Energy Systems. 157. 109862–109862. 8 indexed citations
3.
Asensio, F.J., et al.. (2023). Impact of electric vehicles fast frequency regulation and charging strategies on grid frequency stability. Renewable Energy and Power Quality Journal. 21(2). 1 indexed citations
4.
Asensio, F.J., et al.. (2021). Vehicle‐to‐grid charging control strategy aimed at minimizing harmonic disturbances. International Journal of Energy Research. 45(11). 16478–16488. 7 indexed citations
5.
Martín, J.I. San, et al.. (2021). Integration of the Electric Vehicle into the Electrical Grid of the Future. Renewable Energy and Power Quality Journal. 19. 293–297.
6.
Saldaña, G., et al.. (2020). Empirical Electrical and Degradation Model for Electric Vehicle Batteries. IEEE Access. 8. 155576–155589. 38 indexed citations
7.
Oñederra, O., F.J. Asensio, G. Saldaña, J.I. San Martín, & I. Zamora. (2020). Wind Energy Harnessing in a Railway Infrastructure: Converter Topology and Control Proposal. Electronics. 9(11). 1943–1943. 11 indexed citations
8.
Saldaña, G., J.I. San Martín, I. Zamora, F.J. Asensio, & O. Oñederra. (2019). Electric Vehicle into the Grid: Charging Methodologies Aimed at Providing Ancillary Services Considering Battery Degradation. Energies. 12(12). 2443–2443. 91 indexed citations
9.
Saldaña, G., J.I. San Martín, I. Zamora, F.J. Asensio, & O. Oñederra. (2019). Analysis of the Current Electric Battery Models for Electric Vehicle Simulation. Energies. 12(14). 2750–2750. 124 indexed citations
10.
Asensio, F.J., J.I. San Martín, I. Zamora, & O. Oñederra. (2017). Model for optimal management of the cooling system of a fuel cell-based combined heat and power system for developing optimization control strategies. Applied Energy. 211. 413–430. 41 indexed citations
11.
Cautain, Bastien, Nuria de Pedro, Christian Schulz, et al.. (2015). Identification of the Lipodepsipeptide MDN-0066, a Novel Inhibitor of VHL/HIF Pathway Produced by a New Pseudomonas Species. PLoS ONE. 10(5). e0125221–e0125221. 33 indexed citations
12.
García-Villalobos, J., I. Zamora, J.I. San Martín, F.J. Asensio, & V. Aperribay. (2014). Plug-in electric vehicles in electric distribution networks: A review of smart charging approaches. Renewable and Sustainable Energy Reviews. 38. 717–731. 350 indexed citations
13.
González-Menéndez, Víctor, F.J. Asensio, Nuria de Pedro, et al.. (2014). Assessing the effects of adsorptive polymeric resin additions on fungal secondary metabolite chemical diversity. Mycology: An International Journal on Fungal Biology. 5(3). 179–191. 20 indexed citations
14.
Perez, José R., et al.. (2014). A Novel In Vitro Approach for Simultaneous Evaluation of CYP3A4 Inhibition and Kinetic Aqueous Solubility. SLAS DISCOVERY. 20(2). 254–264. 4 indexed citations
15.
García-Villalobos, J., I. Zamora, P. Eguía, J.I. San Martín, & F.J. Asensio. (2014). Modelling social patterns of plug-in electric vehicles drivers for dynamic simulations. 1–7. 7 indexed citations
16.
Cautain, Bastien, Nuria de Pedro, Víctor González-Menéndez, et al.. (2013). High-Content Screening of Natural Products Reveals Novel Nuclear Export Inhibitors. SLAS DISCOVERY. 19(1). 57–65. 23 indexed citations
17.
Zamora, I., J.I. San Martín, F.J. Asensio, J. García-Villalobos, & V. Aperribay. (2013). Control optimization of an electric traction bus powered by PEMFC and PV. 191. 1–6. 1 indexed citations
18.
Tormo, José R., F.J. Asensio, & Gerald F. Bills. (2012). Manipulating Filamentous Fungus Chemical Phenotypes by Growth on Nutritional Arrays. Methods in molecular biology. 944. 59–78. 5 indexed citations
19.
Skwish, Stephen, et al.. (2004). FIZICS: Fluorescent Imaging Zone Identification System, A Novel Macro Imaging System. SLAS DISCOVERY. 9(8). 663–670. 1 indexed citations
20.
Arenal, F., Gonzalo Platas, Jesús Martı́n, et al.. (2002). Comparison of genotypic and phenotypic techniques for assessing the variability of the fungusEpicoccum nigrum. Journal of Applied Microbiology. 93(1). 36–45. 8 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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