David Narang
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- Photovoltaic System Optimization Techniques 3
- Solar Thermal and Photovoltaic Systems 2
- Artificial Intelligence top 10%
- Solar Radiation and Photovoltaics 2
- Environmental Engineering top 10%
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- Optimal Power Flow Distribution 3
- Islanding Detection in Power Systems 3
- Smart Grid Energy Management 2
- HVDC Systems and Fault Protection 2
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- Microgrid Control and Optimization 2
- Co-authors
- Adrianne KimberB. HammondT. TownsendH. HaydenG. RichLogan MitchellBill MarionJ. Adelstein
- Cited by
- Renewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power TechnologyArtificial Intelligence
- Journals
- IEEE Transactions on Power Delivery (1 paper)IEEE Power and Energy Magazine (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (3 papers)
- Partner nations
- United States
In The Last Decade
David Narang
10 papers receiving 419 citations
Peers
Comparison fields: 5 of 37
- Renewable Energy, Sustainability and the Environment 290
- Energy Engineering and Power Technology 44
- Artificial Intelligence 195
- Environmental Engineering 79
- Pollution 56
Countries citing papers authored by David Narang
This map shows the geographic impact of David Narang'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 Narang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Narang more than expected).
Fields of papers citing papers by David Narang
This network shows the impact of papers produced by David Narang. 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 Narang. The network helps show where David Narang may publish in the future.
Co-authorship network
The 18 scholars most cited alongside David Narang, 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 | 2020 | 19 | |
| 2 | 2020 | 7 | |
| 3 | 2018 | 16 | |
| 4 | 2018 | 19 | |
| 5 | 2015 | 7 | |
| 6 | 2014 | 13 | |
| 7 | 2014 | 11 | |
| 8 | 2013 | 4 | |
| 9 | 2012 | 7 | |
| 10 | 2005 | 353 |
About David Narang
David Narang is a scholar working on Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Control and Systems Engineering, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality, having authored 10 papers that have together received 456 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (3 papers), Islanding Detection in Power Systems (3 papers), Photovoltaic System Optimization Techniques (3 papers), Smart Grid Energy Management (2 papers), HVDC Systems and Fault Protection (2 papers), Solar Radiation and Photovoltaics (2 papers), Microgrid Control and Optimization (2 papers) and Solar Thermal and Photovoltaic Systems (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (290 citations), Energy Engineering and Power Technology (44 citations), Artificial Intelligence (195 citations), Environmental Engineering (79 citations) and Pollution (56 citations). David Narang has collaborated with scholars based in United States. Frequent co-authors include Adrianne Kimber, B. Hammond, T. Townsend, H. Hayden, G. Rich, Logan Mitchell, Bill Marion, J. Adelstein, Tim D. Fletcher and Andy Hoke. Their work appears in journals such as IEEE Transactions on Power Delivery, IEEE Power and Energy Magazine 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.