Luis Martín Pomares

2.3k total citations
42 papers, 1.8k citations indexed

About

Luis Martín Pomares is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Global and Planetary Change. According to data from OpenAlex, Luis Martín Pomares has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 21 papers in Renewable Energy, Sustainability and the Environment and 7 papers in Global and Planetary Change. Recurrent topics in Luis Martín Pomares's work include Solar Radiation and Photovoltaics (28 papers), Photovoltaic System Optimization Techniques (18 papers) and Solar Thermal and Photovoltaic Systems (15 papers). Luis Martín Pomares is often cited by papers focused on Solar Radiation and Photovoltaics (28 papers), Photovoltaic System Optimization Techniques (18 papers) and Solar Thermal and Photovoltaic Systems (15 papers). Luis Martín Pomares collaborates with scholars based in Qatar, Spain and United States. Luis Martín Pomares's co-authors include Jesús Polo, Luis F. Zarzalejo, R. Marchante, Lourdes Ramírez, Marco Cony, Ana Navarro, Akbar Alidadi Shamsabadi, Mehdi Jahangiri, Jan Remund and Ali Mostafaeipour and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

Luis Martín Pomares

39 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Martín Pomares Qatar 22 1.3k 894 591 348 235 42 1.8k
F. Antoñanzas-Torres Spain 20 1.4k 1.1× 1.2k 1.3× 919 1.6× 242 0.7× 177 0.8× 39 2.0k
Hans Georg Beyer Germany 19 1.6k 1.2× 1.4k 1.5× 1.2k 2.1× 363 1.0× 184 0.8× 64 2.6k
Aron Habte United States 14 687 0.5× 519 0.6× 591 1.0× 281 0.8× 142 0.6× 76 1.5k
Lourdes Ramírez Spain 20 1.2k 0.9× 854 1.0× 431 0.7× 309 0.9× 96 0.4× 56 1.7k
Rubén Urraca Spain 17 1.4k 1.1× 999 1.1× 872 1.5× 476 1.4× 68 0.3× 38 2.2k
Mathieu David Réunion 23 1.8k 1.4× 1.2k 1.3× 1.4k 2.3× 222 0.6× 101 0.4× 52 2.4k
Jamie M. Bright Australia 21 1.2k 1.0× 708 0.8× 500 0.8× 438 1.3× 104 0.4× 45 1.6k
Jesús Polo Spain 30 2.0k 1.6× 1.7k 1.9× 691 1.2× 625 1.8× 249 1.1× 132 3.0k
D. Renné United States 13 874 0.7× 752 0.8× 360 0.6× 258 0.7× 84 0.4× 42 1.3k
Elke Lorenz Germany 22 2.4k 1.9× 1.8k 2.0× 1.6k 2.7× 467 1.3× 126 0.5× 58 3.2k

Countries citing papers authored by Luis Martín Pomares

Since Specialization
Citations

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

Fields of papers citing papers by Luis Martín Pomares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Martín Pomares. 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 Martín Pomares. The network helps show where Luis Martín Pomares may publish in the future.

Co-authorship network of co-authors of Luis Martín Pomares

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Martín Pomares. A scholar is included among the top collaborators of Luis Martín Pomares 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 Martín Pomares. Luis Martín Pomares 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.
Valappil, Vineeth Krishnan, Luis Martín Pomares, & Michael Weston. (2025). Evaluation of WRF Chem operational forecast over UAE for concentrated solar energy applications and sensitivity to explicit dynamics of aerosols. Solar Energy. 288. 113303–113303.
2.
Pomares, Luis Martín, et al.. (2024). Transmission line rating assessment using numerical weather prediction (NWP) models. Electric Power Systems Research. 237. 111032–111032. 1 indexed citations
3.
Nie, Yuhao, Quentin Paletta, Luis Martín Pomares, et al.. (2024). Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning. Applied Energy. 369. 123467–123467. 24 indexed citations
4.
5.
Fountoukis, C., et al.. (2022). Assessment of High-resolution Local Emissions and Land-use in Air Quality Forecasting at an Urban, Coastal, Desert Environment. Aerosol and Air Quality Research. 22(6). 220001–220001. 6 indexed citations
6.
Koç‬, Muammer, et al.. (2020). UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data. Atmosphere. 11(1). 96–96. 22 indexed citations
7.
Javed, Wasim, Bing Guo, Benjamin Figgis, Luis Martín Pomares, & Brahim Aïssa. (2020). Multi-year field assessment of seasonal variability of photovoltaic soiling and environmental factors in a desert environment. Solar Energy. 211. 1392–1402. 43 indexed citations
8.
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
9.
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
10.
Jahangiri, Mehdi, et al.. (2018). Electrification of a Tourist Village Using Hybrid Renewable Energy Systems, Sarakhiyeh in Iran. 3(3). 201–211. 22 indexed citations
11.
Fountoukis, C., et al.. (2018). Simulating global horizontal irradiance in the Arabian Peninsula: Sensitivity to explicit treatment of aerosols. Solar Energy. 163. 347–355. 21 indexed citations
12.
Jahangiri, Mehdi, Ahmad Haghani, Akbar Alidadi Shamsabadi, Ali Mostafaeipour, & Luis Martín Pomares. (2018). Feasibility study on the provision of electricity and hydrogen for domestic purposes in the south of Iran using grid-connected renewable energy plants. Energy Strategy Reviews. 23. 23–32. 84 indexed citations
13.
14.
Polo, Jesús, Stefan Wilbert, José A. Ruiz‐Arias, et al.. (2016). Preliminary survey on site-adaptation techniques for satellite-derived and reanalysis solar radiation datasets. Solar Energy. 132. 25–37. 143 indexed citations
15.
16.
Polo, Jesús, Luis Martín Pomares, & J.M. Vindel. (2015). Correcting satellite derived DNI with systematic and seasonal deviations: Application to India. Renewable Energy. 80. 238–243. 36 indexed citations
17.
Escobar, Diego A., et al.. (2012). Efficient all vs. all collision risk analyses. 4(2). 40–48. 3 indexed citations
18.
Polo, Jesús, Luis Martín Pomares, & Marco Cony. (2011). Revision of ground albedo estimation in Heliosat scheme for deriving solar radiation from SEVIRI HRV channel of Meteosat satellite. Solar Energy. 86(1). 275–282. 13 indexed citations
19.
Cony, Marco, et al.. (2010). Synoptic patterns that contribute to extremely hot days in Europe. Atmósfera. 23(4). 295–306. 8 indexed citations
20.
Cony, Marco, Luis F. Zarzalejo, Jesús Polo, R. Marchante, & Luis Martín Pomares. (2010). Modelling solar irradiance from HRV images of Meteosat Second Generation. EGU General Assembly Conference Abstracts. 12. 4292. 1 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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