Pascal Kuhn
Impact in
-
- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics
Papers in
-
- Solar Radiation and Photovoltaics 23
-
- Photovoltaic System Optimization Techniques 13
- Solar Thermal and Photovoltaic Systems 8
- Co-authors
- Stefan Wilbert (23 shared papers)Robert Pitz‐Paal (20 shared papers)Bijan Nouri (17 shared papers)Philippe Blanc (15 shared papers)Luis F. Zarzalejo (15 shared papers)Andreas Kazantzidis (12 shared papers)Christoph Prahl (11 shared papers)Natalie Hanrieder (8 shared papers)
In The Last Decade
Pascal Kuhn
32 papers receiving 576 citations
Peers
Comparison fields: 5 of 53
- Renewable Energy, Sustainability and the Environment 345
- Artificial Intelligence 472
- Media Technology 59
- Global and Planetary Change 136
- Computer Vision and Pattern Recognition 92
Countries citing papers authored by Pascal Kuhn
This map shows the geographic impact of Pascal Kuhn'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 Pascal Kuhn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Kuhn more than expected).
Fields of papers citing papers by Pascal Kuhn
This network shows the impact of papers produced by Pascal Kuhn. 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 Pascal Kuhn. The network helps show where Pascal Kuhn may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Kuhn, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 61 | |
| 2 | 2018 | 58 | |
| 3 | 2017 | 56 | |
| 4 | 2022 | 46 | |
| 5 | 2017 | 44 | |
| 6 | 2020 | 40 | |
| 7 | 2018 | 38 | |
| 8 | 2019 | 36 | |
| 9 | 2017 | 32 | |
| 10 | 2020 | 26 | |
| 11 | 1958 | 24 | |
| 12 | 2018 | 22 | |
| 13 | 2018 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2018 | 15 | |
| 16 | 2018 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 1954 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 1988 | 7 |
About Pascal Kuhn
Pascal Kuhn is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Global and Planetary Change, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 32 papers that have together received 621 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (23 papers), Photovoltaic System Optimization Techniques (13 papers), Solar Thermal and Photovoltaic Systems (8 papers), Image Enhancement Techniques (7 papers), Atmospheric aerosols and clouds (5 papers), Advanced Image Fusion Techniques (4 papers), Meteorological Phenomena and Simulations (3 papers) and Urban Heat Island Mitigation (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (345 citations), Artificial Intelligence (472 citations), Media Technology (59 citations), Global and Planetary Change (136 citations) and Computer Vision and Pattern Recognition (92 citations). Pascal Kuhn has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include Stefan Wilbert, Robert Pitz‐Paal, Bijan Nouri, Philippe Blanc, Luis F. Zarzalejo, Andreas Kazantzidis, Christoph Prahl, Natalie Hanrieder, V. E. Suomi and Lourdes Ramírez. Their work appears in journals such as Solar Energy, Monthly Weather Review, Remote Sensing, Atmospheric measurement techniques and Meteorologische Zeitschrift.
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.