Greg Kern
Impact in
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- Microgrid Control and Optimization
- Power Systems Fault Detection
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- Power Systems and Renewable Energy
Papers in
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- Power Line Communications and Noise 2
- Islanding Detection in Power Systems 2
- Electric Motor Design and Analysis 1
- Wind Turbine Control Systems 1
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- Magnetic Bearings and Levitation Dynamics 1
- Power Systems Fault Detection 1
- Co-authors
- R. Bonn (1 shared paper)A. Rohatgi (1 shared paper)Miroslav M. Begovic (1 shared paper)Michael Ropp (1 shared paper)Sigifredo Gonzalez (1 shared paper)D. Corbus (1 shared paper)Vahan Gevorgian (1 shared paper)
- Journals
- IEEE Transactions on Energy Conversion (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United States
In The Last Decade
Greg Kern
3 papers receiving 287 citations
Peers
Comparison fields: 5 of 11
- Control and Systems Engineering 275
- Energy Engineering and Power Technology 23
- Electrical and Electronic Engineering 305
- Plant Science 75
- Renewable Energy, Sustainability and the Environment 24
Countries citing papers authored by Greg Kern
This map shows the geographic impact of Greg Kern'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 Greg Kern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Kern more than expected).
Fields of papers citing papers by Greg Kern
This network shows the impact of papers produced by Greg Kern. 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 Greg Kern. The network helps show where Greg Kern may publish in the future.
Co-authors
The 7 scholars most cited alongside Greg Kern, 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 | 2000 | 263 | |
| 2 | 2002 | 41 | |
| 3 | Development and Testing of Commercial Prototype Wind-Electric Battery Charging Station | 2000 | 3 |
About Greg Kern
Greg Kern is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 307 indexed citations. Recurring topics across this work include Power Line Communications and Noise (2 papers), Islanding Detection in Power Systems (2 papers), Electric Motor Design and Analysis (1 paper), Magnetic Bearings and Levitation Dynamics (1 paper), Wind Turbine Control Systems (1 paper), Photovoltaic System Optimization Techniques (1 paper) and Power Systems Fault Detection (1 paper). The work is most often cited by research in Control and Systems Engineering (275 citations), Energy Engineering and Power Technology (23 citations), Electrical and Electronic Engineering (305 citations), Plant Science (75 citations) and Renewable Energy, Sustainability and the Environment (24 citations). Greg Kern has collaborated with scholars based in United States. Frequent co-authors include R. Bonn, A. Rohatgi, Miroslav M. Begovic, Michael Ropp, Sigifredo Gonzalez, D. Corbus and Vahan Gevorgian. Their work appears in journals such as IEEE Transactions on Energy Conversion and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.