Quentin Paletta
Impact in
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- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics
Papers in
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- Solar Radiation and Photovoltaics 9
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- Photovoltaic System Optimization Techniques 9
- Solar Thermal and Photovoltaic Systems 4
- Co-authors
- Joan Lasenby (4 shared papers)Yuhao Nie (5 shared papers)Adam R. Brandt (3 shared papers)Anthony Hu (2 shared papers)Guillermo Terrén-Serrano (1 shared paper)Cong Feng (1 shared paper)Laurent Dubus (1 shared paper)Wenqi Zhang (1 shared paper)
- Journals
- Applied Energy (3 papers)Advances in Applied Energy (2 papers)Energy Conversion and Management (1 paper)Remote Sensing of Environment (1 paper)Renewable and Sustainable Energy Reviews (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Quentin Paletta
9 papers receiving 255 citations
Peers
Comparison fields: 5 of 33
- Renewable Energy, Sustainability and the Environment 120
- Artificial Intelligence 212
- Energy Engineering and Power Technology 7
- Media Technology 14
- Electrical and Electronic Engineering 88
Countries citing papers authored by Quentin Paletta
This map shows the geographic impact of Quentin Paletta'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 Quentin Paletta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quentin Paletta more than expected).
Fields of papers citing papers by Quentin Paletta
This network shows the impact of papers produced by Quentin Paletta. 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 Quentin Paletta. The network helps show where Quentin Paletta may publish in the future.
Co-authors
The 22 scholars most cited alongside Quentin Paletta, 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 | 2023 | 67 | |
| 2 | 2023 | 48 | |
| 3 | 2023 | 38 | |
| 4 | 2022 | 33 | |
| 5 | 2024 | 27 | |
| 6 | 2024 | 24 | |
| 7 | 2022 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 5 | |
| 10 | 2026 | 0 |
About Quentin Paletta
Quentin Paletta is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Astronomy and Astrophysics, Electrical and Electronic Engineering and Media Technology, having authored 10 papers that have together received 261 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (9 papers), Solar Radiation and Photovoltaics (9 papers), Solar Thermal and Photovoltaic Systems (4 papers), Solar and Space Plasma Dynamics (2 papers), Energy Load and Power Forecasting (2 papers), Advanced Image Fusion Techniques (1 paper) and Urban Heat Island Mitigation (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (120 citations), Artificial Intelligence (212 citations), Energy Engineering and Power Technology (7 citations), Media Technology (14 citations) and Electrical and Electronic Engineering (88 citations). Quentin Paletta has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Joan Lasenby, Yuhao Nie, Adam R. Brandt, Anthony Hu, Guillermo Terrén-Serrano, Cong Feng, Laurent Dubus, Wenqi Zhang, Soumyabrata Dev and Binghui Li. Their work appears in journals such as Applied Energy, Advances in Applied Energy, Energy Conversion and Management, Remote Sensing of Environment and Renewable and Sustainable Energy Reviews.
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.