Gerd Heilscher
-
- Photovoltaic System Optimization Techniques 8
-
- Power Systems and Renewable Energy 5
- Artificial Intelligence top 10%
- Solar Radiation and Photovoltaics 10
- Control and Systems Engineering top 10%
- Smart Grid Security and Resilience 6
-
- Smart Grid Energy Management 5
- Power Systems and Technologies 4
- Energy Load and Power Forecasting 3
-
- Distributed and Parallel Computing Systems 3
- Co-authors
- Hans Georg BeyerS. StettlerDetlev HeinemannStefan BofingerAnja DrewsMaximilian SchneiderEdo WiemkenJethro Betcke
- Cited by
- Renewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power TechnologyArtificial Intelligence
- Partner nations
- GermanyUnited StatesNorway
In The Last Decade
Gerd Heilscher
26 papers receiving 384 citations
Peers
Comparison fields: 5 of 36
- Renewable Energy, Sustainability and the Environment 225
- Energy Engineering and Power Technology 25
- Artificial Intelligence 162
- Control and Systems Engineering 116
- Electrical and Electronic Engineering 229
Countries citing papers authored by Gerd Heilscher
This map shows the geographic impact of Gerd Heilscher'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 Gerd Heilscher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Heilscher more than expected).
Fields of papers citing papers by Gerd Heilscher
This network shows the impact of papers produced by Gerd Heilscher. 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 Gerd Heilscher. The network helps show where Gerd Heilscher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerd Heilscher, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 0 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 24 | |
| 10 | Secure energy information network in Germany - demonstration of solar-, storage- and E-Mobility applications | 2018 | 1 |
| 11 | 2018 | 2 | |
| 12 | 2017 | 6 | |
| 13 | 2016 | 15 | |
| 14 | 2012 | 2 | |
| 15 | 2012 | 30 | |
| 16 | 2010 | 2 | |
| 17 | 2006 | 2 | |
| 18 | 2006 | 1 | |
| 19 | 2006 | 216 | |
| 20 | 2006 | 3 |
About Gerd Heilscher
Gerd Heilscher is a scholar working on Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment and Artificial Intelligence, having authored 30 papers that have together received 398 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (10 papers), Photovoltaic System Optimization Techniques (8 papers), Smart Grid Security and Resilience (6 papers), Smart Grid Energy Management (5 papers), Power Systems and Renewable Energy (5 papers), Power Systems and Technologies (4 papers), Energy Load and Power Forecasting (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (225 citations), Energy Engineering and Power Technology (25 citations) and Artificial Intelligence (162 citations). Gerd Heilscher has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Hans Georg Beyer, S. Stettler, Detlev Heinemann, Stefan Bofinger, Anja Drews, Maximilian Schneider, Edo Wiemken, Jethro Betcke, Wolfgang Heydenreich and Wilfried van Sark. Their work appears in journals such as IEEE Access, Solar Energy and Energies.
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.