Ted Soubdhan
Impact in
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- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
- Artificial Intelligence top 2%
- Solar Radiation and Photovoltaics
Papers in
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- Grey System Theory Applications 7
-
- Solar Radiation and Photovoltaics 16
- Co-authors
- Rudy CalifCyril VoyantMathieu DavidPhilippe LauretRichard EmilionPhilippe PoggiYongxiang HuangFrançois G. Schmitt
- Journals
- Solar Energy (7 papers)Energy (3 papers)Renewable Energy (3 papers)Energies (1 paper)IET Renewable Power Generation (1 paper)
- Partner nations
- FranceGuadeloupeUnited States
In The Last Decade
Ted Soubdhan
24 papers receiving 743 citations
Peers
Comparison fields: 5 of 64
- Renewable Energy, Sustainability and the Environment 361
- Artificial Intelligence 564
- Electrical and Electronic Engineering 457
- Energy Engineering and Power Technology 21
- Management Science and Operations Research 74
Countries citing papers authored by Ted Soubdhan
This map shows the geographic impact of Ted Soubdhan'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 Ted Soubdhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Soubdhan more than expected).
Fields of papers citing papers by Ted Soubdhan
This network shows the impact of papers produced by Ted Soubdhan. 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 Ted Soubdhan. The network helps show where Ted Soubdhan may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Ted Soubdhan, 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 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 28 | |
| 10 | 2019 | 14 | |
| 11 | 2016 | 48 | |
| 12 | 2016 | 26 | |
| 13 | Statistical parameters as a means to a priori assess the accuracy of solar forecasting models | 2015 | 1 |
| 14 | 2015 | 19 | |
| 15 | 2015 | 189 | |
| 16 | 2015 | 43 | |
| 17 | 2015 | 18 | |
| 18 | 2014 | 9 | |
| 19 | 2009 | 89 | |
| 20 | 2004 | 51 |
About Ted Soubdhan
Ted Soubdhan is a scholar working on Management Science and Operations Research, Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Environmental Engineering, having authored 24 papers that have together received 769 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (16 papers), Energy Load and Power Forecasting (13 papers), Grey System Theory Applications (7 papers), Photovoltaic System Optimization Techniques (6 papers), Solar Thermal and Photovoltaic Systems (3 papers), Wind and Air Flow Studies (2 papers), Market Dynamics and Volatility (2 papers) and Wind Turbine Control Systems (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (361 citations), Artificial Intelligence (564 citations), Electrical and Electronic Engineering (457 citations), Energy Engineering and Power Technology (21 citations) and Management Science and Operations Research (74 citations). Ted Soubdhan has collaborated with scholars based in France, Guadeloupe and United States. Frequent co-authors include Rudy Calif, Cyril Voyant, Mathieu David, Philippe Lauret, Richard Emilion, Philippe Poggi, Yongxiang Huang, François G. Schmitt, Marc Muselli and Sophie Dabo‐Niang. Their work appears in journals such as Solar Energy, Energy, Renewable Energy, Energies and IET Renewable Power Generation.
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.