Stefan Wiesmeier
- Renewable Energy, Sustainability and the Environment top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Environmental Engineering
- Materials Chemistry
- Co-authors
- Michael KoehlMarkus HeckJochen WirthStephan HoffmannM. KöhlMatthias VolkKarl‐Anders WeißJannis Epting
- Topics
- Photovoltaic System Optimization Techniques (5 papers)Solar Thermal and Photovoltaic Systems (3 papers)Photovoltaic Systems and Sustainability (2 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentArtificial IntelligenceEnvironmental Engineering
- Journals
- Solar Energy Materials and Solar CellsProgress in Photovoltaics Research and ApplicationsEnergy Science & Engineering
- Partner nations
- Germany
In The Last Decade
Stefan Wiesmeier
7 papers receiving 405 citations
Peers
Comparison fields: 5 of 41
- Renewable Energy, Sustainability and the Environment 322
- Electrical and Electronic Engineering 204
- Artificial Intelligence 151
- Environmental Engineering 67
- Materials Chemistry 29
Countries citing papers authored by Stefan Wiesmeier
This map shows the geographic impact of Stefan Wiesmeier'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 Stefan Wiesmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Wiesmeier more than expected).
Fields of papers citing papers by Stefan Wiesmeier
This network shows the impact of papers produced by Stefan Wiesmeier. 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 Stefan Wiesmeier. The network helps show where Stefan Wiesmeier may publish in the future.
Co-authorship network of co-authors of Stefan Wiesmeier
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Wiesmeier. A scholar is included among the top collaborators of Stefan Wiesmeier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Wiesmeier. Stefan Wiesmeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 50 | |
| 3 | 3 | |
| 4 | Analyse von Grundwasserkörpern mit GIS: GIS-Tool GSIA – Basis für das Prozessverständnis der Interaktion von Grundwassersystemen | 1 |
| 5 | 72 | |
| 6 | 2 | |
| 7 | 274 |
About Stefan Wiesmeier
Stefan Wiesmeier is a scholar working on Renewable Energy, Sustainability and the Environment, Environmental Engineering and Industrial and Manufacturing Engineering, having authored 7 papers that have together received 424 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (5 papers), Solar Thermal and Photovoltaic Systems (3 papers) and Photovoltaic Systems and Sustainability (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (322 citations), Artificial Intelligence (151 citations) and Environmental Engineering (67 citations). Stefan Wiesmeier has collaborated with scholars based in Germany. Frequent co-authors include Michael Koehl, Markus Heck, Jochen Wirth, Stephan Hoffmann, M. Köhl, Matthias Volk, Karl‐Anders Weiß, Jannis Epting, Adrian Auckenthaler and Peter Huggenberger. Their work appears in journals such as Solar Energy Materials and Solar Cells, Progress in Photovoltaics Research and Applications and Energy Science & Engineering.
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.