David Daßler
Impact in
-
- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
- Environmental Engineering top 10%
- Photovoltaic Systems and Sustainability
Papers in
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- Photovoltaic System Optimization Techniques 11
- Solar Thermal and Photovoltaic Systems 7
-
- solar cell performance optimization 3
- Silicon and Solar Cell Technologies 2
- Co-authors
- Hamed Hanifi (5 shared papers)Ralph Gottschalg (3 shared papers)Klemens Ilse (2 shared papers)Christian Hagendorf (3 shared papers)Benjamin Figgis (1 shared paper)Leonardo Micheli (1 shared paper)Katja Lange (1 shared paper)Volker Naumann (1 shared paper)
- Journals
- Energies (2 papers)IEEE Journal of Photovoltaics (1 paper)Solar Energy Materials and Solar Cells (1 paper)Joule (1 paper)Applied Energy (1 paper)
- Partner nations
- GermanySpainSaudi Arabia
In The Last Decade
David Daßler
13 papers receiving 401 citations
Peers
Comparison fields: 5 of 45
- Renewable Energy, Sustainability and the Environment 327
- Environmental Engineering 141
- Artificial Intelligence 150
- Pollution 49
- Electrical and Electronic Engineering 151
Countries citing papers authored by David Daßler
This map shows the geographic impact of David Daßler'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 David Daßler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Daßler more than expected).
Fields of papers citing papers by David Daßler
This network shows the impact of papers produced by David Daßler. 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 David Daßler. The network helps show where David Daßler may publish in the future.
Co-authors
The 23 scholars most cited alongside David Daßler, 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 | 2019 | 303 | |
| 2 | 2020 | 28 | |
| 3 | 2016 | 21 | |
| 4 | 2015 | 14 | |
| 5 | 2022 | 9 | |
| 6 | 2018 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2014 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2020 | 0 |
About David Daßler
David Daßler is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Environmental Engineering, Artificial Intelligence and Pollution, having authored 14 papers that have together received 410 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (11 papers), Solar Thermal and Photovoltaic Systems (7 papers), Photovoltaic Systems and Sustainability (5 papers), Solar Radiation and Photovoltaics (3 papers), solar cell performance optimization (3 papers), Silicon and Solar Cell Technologies (2 papers), Analytical Chemistry and Sensors (1 paper) and Energy and Environment Impacts (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (327 citations), Environmental Engineering (141 citations), Artificial Intelligence (150 citations), Pollution (49 citations) and Electrical and Electronic Engineering (151 citations). David Daßler has collaborated with scholars based in Germany, Spain and Saudi Arabia. Frequent co-authors include Hamed Hanifi, Ralph Gottschalg, Klemens Ilse, Christian Hagendorf, Benjamin Figgis, Leonardo Micheli, Katja Lange, Volker Naumann, Fabian Wolfertstetter and Jens Schneider. Their work appears in journals such as Energies, IEEE Journal of Photovoltaics, Solar Energy Materials and Solar Cells, Joule 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.