Luis Mazorra-Aguiar

587 total citations
14 papers, 418 citations indexed

About

Luis Mazorra-Aguiar is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Luis Mazorra-Aguiar has authored 14 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Renewable Energy, Sustainability and the Environment and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Luis Mazorra-Aguiar's work include Solar Radiation and Photovoltaics (11 papers), Photovoltaic System Optimization Techniques (6 papers) and Energy Load and Power Forecasting (5 papers). Luis Mazorra-Aguiar is often cited by papers focused on Solar Radiation and Photovoltaics (11 papers), Photovoltaic System Optimization Techniques (6 papers) and Energy Load and Power Forecasting (5 papers). Luis Mazorra-Aguiar collaborates with scholars based in Spain, Réunion and Qatar. Luis Mazorra-Aguiar's co-authors include Mathieu David, F. Díaz, P Lauret, Philippe Lauret, Jesús Polo, Carlos M. Fernández-Peruchena, Luis Martín Pomares, J.M. Vindel, Jan Remund and Philippe Blanc and has published in prestigious journals such as Renewable Energy, Solar Energy and Remote Sensing.

In The Last Decade

Luis Mazorra-Aguiar

12 papers receiving 403 citations

Peers

Luis Mazorra-Aguiar
Marco Cony Spain
Rodrigo Alonso-Suárez Uruguay
Robert Blaga Romania
Patrick Mathiesen United States
J. Mubiru Uganda
Ozan Şenkal Türkiye
Ben Kurtz United States
Lukas Nonnenmacher United States
Remus Boata Romania
R. Marchante Spain
Marco Cony Spain
Luis Mazorra-Aguiar
Citations per year, relative to Luis Mazorra-Aguiar Luis Mazorra-Aguiar (= 1×) peers Marco Cony

Countries citing papers authored by Luis Mazorra-Aguiar

Since Specialization
Citations

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

Fields of papers citing papers by Luis Mazorra-Aguiar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Mazorra-Aguiar. 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 Luis Mazorra-Aguiar. The network helps show where Luis Mazorra-Aguiar may publish in the future.

Co-authorship network of co-authors of Luis Mazorra-Aguiar

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Mazorra-Aguiar. A scholar is included among the top collaborators of Luis Mazorra-Aguiar 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 Luis Mazorra-Aguiar. Luis Mazorra-Aguiar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Mazorra-Aguiar, Luis, et al.. (2024). Evaluation of the use of educational podcasts as a collaborative learning tool taking into consideration participation in its creation. RELIEVE - Revista Electrónica de Investigación y Evaluación Educativa. 30(1).
3.
Mazorra-Aguiar, Luis, et al.. (2023). Solar photovoltaic systems for the Short Sea Shipping’s compliance with decarbonization regulations in the European Union. Sustainable Energy Technologies and Assessments. 60. 103506–103506. 7 indexed citations
4.
Mazorra-Aguiar, Luis, et al.. (2023). PV Potential Assessment Platform. Acceda (Universidad de Las Palmas de Gran Canaria). 1–4. 1 indexed citations
5.
Mazorra-Aguiar, Luis, et al.. (2021). Comparison of Two Solar Probabilistic Forecasting Methodologies for Microgrids Energy Efficiency. Energies. 14(6). 1679–1679. 5 indexed citations
6.
Fernández-Peruchena, Carlos M., Jesús Polo, Luis Martín Pomares, & Luis Mazorra-Aguiar. (2020). Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure. Remote Sensing. 12(13). 2127–2127. 24 indexed citations
7.
Polo, Jesús, Carlos M. Fernández-Peruchena, Luis Mazorra-Aguiar, et al.. (2020). Benchmarking on improvement and site-adaptation techniques for modeled solar radiation datasets. Solar Energy. 201. 469–479. 50 indexed citations
8.
Mazorra-Aguiar, Luis, et al.. (2018). Analysis of satellite derived solar irradiance in islands with site adaptation techniques for improving the uncertainty. Renewable Energy. 135. 98–107. 33 indexed citations
9.
David, Mathieu, Luis Mazorra-Aguiar, & Philippe Lauret. (2018). Comparison of intraday probabilistic forecasting of solar irradiance using only endogenous data. International Journal of Forecasting. 34(3). 529–547. 51 indexed citations
10.
Díaz, F., et al.. (2017). Improving shadows detection for solar radiation numerical models. Applied Mathematics and Computation. 319. 71–85. 14 indexed citations
11.
Mazorra-Aguiar, Luis, et al.. (2017). Daily Global Solar Radiation estimation for Gran Canaria Island using Artificial Neural Networks. Renewable Energy and Power Quality Journal. 14(8). 1 indexed citations
12.
13.
Lauret, Philippe, et al.. (2015). Characterization of the intraday variability regime of solar irradiation of climatically distinct locations. Solar Energy. 125. 99–110. 31 indexed citations
14.
Mazorra-Aguiar, Luis, et al.. (2015). Use of satellite data to improve solar radiation forecasting with Bayesian Artificial Neural Networks. Solar Energy. 122. 1309–1324. 86 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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