L. Hontoria
- Renewable Energy, Sustainability and the Environment top 2%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 5%
- Energy Engineering and Power Technology top 2%
- Pollution top 5%
- Co-authors
- Florencia AlmonacidCatalina Rus-CasasJ. AguileraP. Pérez-HiguerasPedro J. ZufiriaSulaiman ShaariSoteris A. KalogirouA. Mellit
- Topics
- Photovoltaic System Optimization Techniques (19 papers)Solar Radiation and Photovoltaics (17 papers)Neural Networks and Applications (6 papers)
In The Last Decade
L. Hontoria
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Renewable Energy, Sustainability and the Environment 950
- Artificial Intelligence 873
- Electrical and Electronic Engineering 780
- Energy Engineering and Power Technology 178
- Pollution 166
Countries citing papers authored by L. Hontoria
This map shows the geographic impact of L. Hontoria'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 L. Hontoria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Hontoria more than expected).
Fields of papers citing papers by L. Hontoria
This network shows the impact of papers produced by L. Hontoria. 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 L. Hontoria. The network helps show where L. Hontoria may publish in the future.
Co-authorship network of co-authors of L. Hontoria
This figure shows the co-authorship network connecting the top 25 collaborators of L. Hontoria. A scholar is included among the top collaborators of L. Hontoria 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 L. Hontoria. L. Hontoria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 29 | |
| 5 | 27 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 116 | |
| 9 | 69 | |
| 10 | 89 | |
| 11 | 24 | |
| 12 | 99 | |
| 13 | Una nueva aproximación para la caracterización de módulos fotovoltaicos basada en redes reuronales | 1 |
| 14 | 175 | |
| 15 | 62 | |
| 16 | Dimensionado de sistemas fotovoltaicos autónomos | 1 |
| 17 | 60 | |
| 18 | A tool for obtaining the LOLP curves for sizing off-grid photovoltaic systems based in neural networks | 6 |
| 19 | 103 | |
| 20 | 41 |
About L. Hontoria
L. Hontoria is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Energy Engineering and Power Technology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (19 papers), Solar Radiation and Photovoltaics (17 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (950 citations), Energy Engineering and Power Technology (178 citations) and Artificial Intelligence (873 citations). L. Hontoria has collaborated with scholars based in Spain, Algeria and Cyprus. Frequent co-authors include Florencia Almonacid, Catalina Rus-Casas, J. Aguilera, P. Pérez-Higueras, Pedro J. Zufiria, Sulaiman Shaari, Soteris A. Kalogirou, A. Mellit, G. Almonacid and Julio Terrados-Cepeda. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Energy Conversion and Management and Energy.
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.