Martín Gastón
- Artificial Intelligence top 2%
- Renewable Energy, Sustainability and the Environment top 5%
- Electrical and Electronic Engineering
- Global and Planetary Change top 10%
- Atmospheric Science
- Co-authors
- Carlos M. Fernández-PeruchenaTeresa LeónFermín MallorLourdes RamírezVicente Lara-FanegoJan RemundDavid PozoSophie Pelland
- Topics
- Solar Radiation and Photovoltaics (23 papers)Solar Thermal and Photovoltaic Systems (16 papers)Photovoltaic System Optimization Techniques (15 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentArtificial IntelligenceGlobal and Planetary Change
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Martín Gastón
32 papers receiving 691 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 527
- Renewable Energy, Sustainability and the Environment 339
- Electrical and Electronic Engineering 267
- Global and Planetary Change 122
- Atmospheric Science 97
Countries citing papers authored by Martín Gastón
This map shows the geographic impact of Martín Gastón'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 Martín Gastón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín Gastón more than expected).
Fields of papers citing papers by Martín Gastón
This network shows the impact of papers produced by Martín Gastón. 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 Martín Gastón. The network helps show where Martín Gastón may publish in the future.
Co-authorship network of co-authors of Martín Gastón
This figure shows the co-authorship network connecting the top 25 collaborators of Martín Gastón. A scholar is included among the top collaborators of Martín Gastón 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 Martín Gastón. Martín Gastón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | Solar resource mapping in Tanzania : solar modelling report | 3 |
| 13 | 26 | |
| 14 | 29 | |
| 15 | 6 | |
| 16 | A New High Frequency Global-to-direct Irradiance Conversion Methodology | 2 |
| 17 | 3 | |
| 18 | 17 | |
| 19 | 5 | |
| 20 | 0 |
About Martín Gastón
Martín Gastón is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Energy Engineering and Power Technology, having authored 35 papers that have together received 712 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (23 papers), Solar Thermal and Photovoltaic Systems (16 papers) and Photovoltaic System Optimization Techniques (15 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (339 citations), Artificial Intelligence (527 citations) and Global and Planetary Change (122 citations). Martín Gastón has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Carlos M. Fernández-Peruchena, Teresa León, Fermín Mallor, Lourdes Ramírez, Vicente Lara-Fanego, Jan Remund, David Pozo, Sophie Pelland, Detlev Heinemann and Mark Beauharnois. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Energy Conversion and Management.
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.