T. Kottas
Impact in
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- Photovoltaic System Optimization Techniques
Papers in
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- Cognitive Science and Mapping 7
- Solar Radiation and Photovoltaics 3
- Cognitive Computing and Networks 2
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- Microgrid Control and Optimization 3
- Co-authors
- Yiannis S. Boutalis (7 shared papers)Athanasios Karlis (3 shared papers)M.A. Christodoulou (1 shared paper)Manolis A. Christodoulou (1 shared paper)Dimitrios Tsiamitros (5 shared papers)E.N. Dialynas (4 shared papers)A. Aivasidis (1 shared paper)Vasileios Diamantis (1 shared paper)
In The Last Decade
T. Kottas
11 papers receiving 443 citations
Peers
Comparison fields: 5 of 40
- Renewable Energy, Sustainability and the Environment 288
- Energy Engineering and Power Technology 34
- Artificial Intelligence 313
- Management Science and Operations Research 60
- Automotive Engineering 50
Countries citing papers authored by T. Kottas
This map shows the geographic impact of T. Kottas'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 T. Kottas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kottas more than expected).
Fields of papers citing papers by T. Kottas
This network shows the impact of papers produced by T. Kottas. 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 T. Kottas. The network helps show where T. Kottas may publish in the future.
Co-authors
The 13 scholars most cited alongside T. Kottas, 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 | 2006 | 271 | |
| 2 | 2009 | 87 | |
| 3 | 2006 | 64 | |
| 4 | 2012 | 15 | |
| 5 | 2018 | 11 | |
| 6 | 2015 | 10 | |
| 7 | 2011 | 8 | |
| 8 | 2006 | 7 | |
| 9 | 2014 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2014 | 1 |
About T. Kottas
T. Kottas is a scholar working on Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Management Science and Operations Research, having authored 11 papers that have together received 476 indexed citations. Recurring topics across this work include Cognitive Science and Mapping (7 papers), Photovoltaic System Optimization Techniques (3 papers), Microgrid Control and Optimization (3 papers), Smart Grid Energy Management (3 papers), Solar Radiation and Photovoltaics (3 papers), Optimal Power Flow Distribution (2 papers), Multi-Criteria Decision Making (2 papers) and Cognitive Computing and Networks (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (288 citations), Energy Engineering and Power Technology (34 citations), Artificial Intelligence (313 citations), Management Science and Operations Research (60 citations) and Automotive Engineering (50 citations). T. Kottas has collaborated with scholars based in Greece, Germany and Portugal. Frequent co-authors include Yiannis S. Boutalis, Athanasios Karlis, M.A. Christodoulou, Manolis A. Christodoulou, Dimitrios Tsiamitros, E.N. Dialynas, A. Aivasidis, Vasileios Diamantis, Stergios Maropoulos and C. D. Orth. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Energy Conversion, Applied Soft Computing, IEEE Access and Electric Power Systems Research.
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.