Óscar Perpiñán
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- Photovoltaic System Optimization Techniques 15
- Solar Thermal and Photovoltaic Systems 7
- Artificial Intelligence top 2%
- Solar Radiation and Photovoltaics 22
- Pollution top 10%
- Energy and Environment Impacts 5
- Global and Planetary Change top 10%
- Atmospheric and Environmental Gas Dynamics 3
- Atmospheric aerosols and clouds 2
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- Energy Load and Power Forecasting 8
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- Solar and Space Plasma Dynamics 2
- Co-authors
- Marcelo Pinho AlmeidaE. LorenzoF. Antoñanzas-TorresLuís NarvarteManuel CastroRubén UrracaJesús PoloRodrigo Escobar
- Cited by
- Renewable Energy, Sustainability and the EnvironmentArtificial IntelligenceEnergy Engineering and Power Technology
In The Last Decade
Óscar Perpiñán
25 papers receiving 911 citations
Peers
Comparison fields: 5 of 65
- Renewable Energy, Sustainability and the Environment 505
- Artificial Intelligence 648
- Energy Engineering and Power Technology 34
- Pollution 96
- Global and Planetary Change 171
Countries citing papers authored by Óscar Perpiñán
This map shows the geographic impact of Óscar Perpiñán'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 Óscar Perpiñán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Óscar Perpiñán more than expected).
Fields of papers citing papers by Óscar Perpiñán
This network shows the impact of papers produced by Óscar Perpiñán. 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 Óscar Perpiñán. The network helps show where Óscar Perpiñán may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Óscar Perpiñán, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2020 | 18 | |
| 3 | 2017 | 26 | |
| 4 | 2017 | 63 | |
| 5 | 2016 | 15 | |
| 6 | 2015 | 2 | |
| 7 | 2015 | 164 | |
| 8 | Comparative study of nonparametric and parametric PV models to forecast AC power output of PV plants | 2015 | 2 |
| 9 | 2014 | 10 | |
| 10 | 2013 | 33 | |
| 11 | 2013 | 46 | |
| 12 | 2013 | 45 | |
| 13 | 2012 | 12 | |
| 14 | 2012 | 66 | |
| 15 | 2011 | 29 | |
| 16 | 2010 | 22 | |
| 17 | 2008 | 46 | |
| 18 | 2007 | 22 | |
| 19 | 2006 | 59 | |
| 20 | "Photocampa: design and performance of the PV system" | 2003 | 1 |
About Óscar Perpiñán
Óscar Perpiñán is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Pollution, having authored 26 papers that have together received 946 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (22 papers), Photovoltaic System Optimization Techniques (15 papers), Energy Load and Power Forecasting (8 papers), Solar Thermal and Photovoltaic Systems (7 papers), Energy and Environment Impacts (5 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Atmospheric aerosols and clouds (2 papers) and Solar and Space Plasma Dynamics (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (505 citations), Artificial Intelligence (648 citations) and Energy Engineering and Power Technology (34 citations). Óscar Perpiñán has collaborated with scholars based in Spain, Brazil and France. Frequent co-authors include Marcelo Pinho Almeida, E. Lorenzo, F. Antoñanzas-Torres, Luís Narvarte, Manuel Castro, Rubén Urraca, Jesús Polo, Rodrigo Escobar, Francisco Javier Martínez-de-Pisón and Claudia Gutiérrez. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Renewable Energy and Solar 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.