Pascal Kuhn

825 citations
32 papers · 595 indexed · h-index 15

Impact in

Papers in

Pascal Kuhn

32 papers receiving 556 citations

Peers

Pascal Kuhn
Comparison fields: 5 of 52
  • Renewable Energy, Sustainability and the Environment 334
  • Artificial Intelligence 460
  • Media Technology 59
  • Global and Planetary Change 130
  • Computer Vision and Pattern Recognition 92
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Janet E. Shields United States
Bijan Nouri Germany
Ben Kurtz United States
Christoph Prahl Germany
J. E. Shields United States
Weitao Lu China
Florian M. Savoy United States
Massimiliano Pastena Italy
Yudi Zhou China
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Citations per field
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Citations per year

Countries citing papers authored by Pascal Kuhn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pascal Kuhn Line = papers co-authored together Pascal Kuhn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 201855
3 201753
4 202243
5 201742
6 202038
7 201837
8 201935
9 201731
10 202024
11 195823
12 201821
13 201819
14 201718
15 201815
16 201810
17 20189
18 20207
19 20207
20 20197

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 595 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 (334 citations), Artificial Intelligence (460 citations), Media Technology (59 citations), Global and Planetary Change (130 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, Bijan Nouri, Robert Pitz‐Paal, Philippe Blanc, Luis F. Zarzalejo, Andreas Kazantzidis, Christoph Prahl, Lourdes Ramírez, Natalie Hanrieder and V. E. Suomi. Their work appears in journals such as Solar Energy, Monthly Weather Review, Meteorologische Zeitschrift, Remote Sensing and Progress in Photovoltaics Research and Applications.

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.

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