Sven Killinger
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 16
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- Photovoltaic System Optimization Techniques 13
- Solar Thermal and Photovoltaic Systems 9
- Co-authors
- Nicholas A. Engerer (7 shared papers)Jamie M. Bright (7 shared papers)Russell McKenna (5 shared papers)Wolf Fïchtner (5 shared papers)David Lingfors (6 shared papers)Kai Mainzer (3 shared papers)Björn Müller (5 shared papers)Joakim Widén (2 shared papers)
In The Last Decade
Sven Killinger
22 papers receiving 505 citations
Peers
Comparison fields: 5 of 47
- Renewable Energy, Sustainability and the Environment 258
- Artificial Intelligence 356
- Environmental Engineering 100
- Energy Engineering and Power Technology 21
- Building and Construction 79
Countries citing papers authored by Sven Killinger
This map shows the geographic impact of Sven Killinger'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 Sven Killinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Killinger more than expected).
Fields of papers citing papers by Sven Killinger
This network shows the impact of papers produced by Sven Killinger. 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 Sven Killinger. The network helps show where Sven Killinger may publish in the future.
Co-authors
The 22 scholars most cited alongside Sven Killinger, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 123 | |
| 2 | 2017 | 81 | |
| 3 | 2017 | 64 | |
| 4 | 2017 | 50 | |
| 5 | 2015 | 37 | |
| 6 | 2017 | 33 | |
| 7 | 2016 | 30 | |
| 8 | 2017 | 20 | |
| 9 | 2017 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2023 | 8 | |
| 12 | 2016 | 8 | |
| 13 | 2016 | 6 | |
| 14 | 2013 | 5 | |
| 15 | 2016 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2015 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2017 | 2 | |
| 20 | 2022 | 1 |
About Sven Killinger
Sven Killinger is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Pollution and Astronomy and Astrophysics, having authored 22 papers that have together received 517 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (16 papers), Photovoltaic System Optimization Techniques (13 papers), Solar Thermal and Photovoltaic Systems (9 papers), Smart Grid Energy Management (5 papers), Electric Vehicles and Infrastructure (2 papers), Energy and Environment Impacts (2 papers), Optimal Power Flow Distribution (2 papers) and Integrated Energy Systems Optimization (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (258 citations), Artificial Intelligence (356 citations), Environmental Engineering (100 citations), Energy Engineering and Power Technology (21 citations) and Building and Construction (79 citations). Sven Killinger has collaborated with scholars based in Germany, Australia and Sweden. Frequent co-authors include Nicholas A. Engerer, Jamie M. Bright, Russell McKenna, Wolf Fïchtner, David Lingfors, Kai Mainzer, Björn Müller, Joakim Widén, Bernhard Wille‐Haussmann and Jörgen Ahlberg. Their work appears in journals such as Solar Energy, Energies, IEEE Journal of Photovoltaics, Energy and Applied Energy.
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.