Javier Cubas
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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- Spacecraft Design and Technology 14
- Inertial Sensor and Navigation 11
- Spacecraft Dynamics and Control 6
- Space Satellite Systems and Control 5
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- solar cell performance optimization 11
- Co-authors
- Santiago Pindado (37 shared papers)Marta Victoria (1 shared paper)Félix Sorribes-Palmer (7 shared papers)Elena Roibás-Millán (10 shared papers)Angel Pedro Sanz Andres (5 shared papers)Anton de Ruiter (1 shared paper)F. J. Casas (4 shared papers)E. Martínez-González (4 shared papers)
In The Last Decade
Javier Cubas
42 papers receiving 931 citations
Peers
Comparison fields: 5 of 60
- Renewable Energy, Sustainability and the Environment 553
- Artificial Intelligence 308
- Aerospace Engineering 236
- Electrical and Electronic Engineering 511
- Automotive Engineering 82
Countries citing papers authored by Javier Cubas
This map shows the geographic impact of Javier Cubas'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 Javier Cubas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Cubas more than expected).
Fields of papers citing papers by Javier Cubas
This network shows the impact of papers produced by Javier Cubas. 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 Javier Cubas. The network helps show where Javier Cubas may publish in the future.
Co-authors
The 21 scholars most cited alongside Javier Cubas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 205 | |
| 2 | 2014 | 165 | |
| 3 | 2016 | 78 | |
| 4 | 2015 | 53 | |
| 5 | 2014 | 39 | |
| 6 | 2018 | 37 | |
| 7 | 2017 | 36 | |
| 8 | 2013 | 36 | |
| 9 | 2021 | 28 | |
| 10 | 2015 | 25 | |
| 11 | 2021 | 22 | |
| 12 | 2013 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2015 | 16 | |
| 15 | 2015 | 15 | |
| 16 | 2014 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2021 | 12 |
About Javier Cubas
Javier Cubas is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Astronomy and Astrophysics and Automotive Engineering, having authored 46 papers that have together received 960 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (14 papers), Spacecraft Design and Technology (14 papers), Inertial Sensor and Navigation (11 papers), solar cell performance optimization (11 papers), Spacecraft Dynamics and Control (6 papers), Advanced Battery Technologies Research (6 papers), Space Satellite Systems and Control (5 papers) and Geophysics and Gravity Measurements (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (553 citations), Artificial Intelligence (308 citations), Aerospace Engineering (236 citations), Electrical and Electronic Engineering (511 citations) and Automotive Engineering (82 citations). Javier Cubas has collaborated with scholars based in Spain, China and Canada. Frequent co-authors include Santiago Pindado, Marta Victoria, Félix Sorribes-Palmer, Elena Roibás-Millán, Angel Pedro Sanz Andres, Anton de Ruiter, F. J. Casas, E. Martínez-González, P. Vielva and R. B. Barreiro. Their work appears in journals such as Measurement, Acta Astronautica, Energies, Sensors and Applied Sciences.
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.