R. D’Aquila
Impact in
- Control and Systems Engineering top 10%
- Microgrid Control and Optimization
- Real-time simulation and control systems
- Power Systems Fault Detection
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- Power System Optimization and Stability
- Optimal Power Flow Distribution
- HVDC Systems and Fault Protection
- Smart Grid Energy Management
Papers in
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- Power System Optimization and Stability 6
- HVDC Systems and Fault Protection 3
- Islanding Detection in Power Systems 2
- Electric Motor Design and Analysis 1
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- Microgrid Control and Optimization 2
- Magnetic Bearings and Levitation Dynamics 1
- Vibration and Dynamic Analysis 1
- Co-authors
- John Paserba (2 shared papers)W.W. Price (2 shared papers)J.J. Sanchez-Gasca (2 shared papers)Carl Bridenbaugh (1 shared paper)N.W. Miller (2 shared papers)R. Walling (2 shared papers)B. Daryanian (1 shared paper)Daniel H. Baker (1 shared paper)
- Journals
- IEEE Transactions on Power Systems (2 papers)IEEE Computer Applications in Power (1 paper)IEEE Power and Energy Magazine (1 paper)
- Partner nations
- United States
In The Last Decade
R. D’Aquila
9 papers receiving 245 citations
Peers
Comparison fields: 5 of 31
- Control and Systems Engineering 155
- Electrical and Electronic Engineering 236
- Numerical Analysis 20
- Energy Engineering and Power Technology 11
- Automotive Engineering 32
Countries citing papers authored by R. D’Aquila
This map shows the geographic impact of R. D’Aquila'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 R. D’Aquila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. D’Aquila more than expected).
Fields of papers citing papers by R. D’Aquila
This network shows the impact of papers produced by R. D’Aquila. 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 R. D’Aquila. The network helps show where R. D’Aquila may publish in the future.
Co-authors
The 11 scholars most cited alongside R. D’Aquila, 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 | 2014 | 73 | |
| 2 | 2002 | 50 | |
| 3 | 1992 | 45 | |
| 4 | 2006 | 44 | |
| 5 | 1993 | 19 | |
| 6 | 1993 | 15 | |
| 7 | 2003 | 11 | |
| 8 | 2009 | 7 | |
| 9 | 2012 | 5 |
About R. D’Aquila
R. D’Aquila is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Numerical Analysis, Astronomy and Astrophysics and Safety, Risk, Reliability and Quality, having authored 9 papers that have together received 269 indexed citations. Recurring topics across this work include Power System Optimization and Stability (6 papers), HVDC Systems and Fault Protection (3 papers), Microgrid Control and Optimization (2 papers), Islanding Detection in Power Systems (2 papers), Lightning and Electromagnetic Phenomena (1 paper), Electric Motor Design and Analysis (1 paper), Magnetic Bearings and Levitation Dynamics (1 paper) and Vibration and Dynamic Analysis (1 paper). The work is most often cited by research in Control and Systems Engineering (155 citations), Electrical and Electronic Engineering (236 citations), Numerical Analysis (20 citations), Energy Engineering and Power Technology (11 citations) and Automotive Engineering (32 citations). R. D’Aquila has collaborated with scholars based in United States. Frequent co-authors include John Paserba, W.W. Price, J.J. Sanchez-Gasca, Carl Bridenbaugh, N.W. Miller, R. Walling, B. Daryanian, Daniel H. Baker, R.J. Piwko and Daniel Klapper. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Computer Applications in Power and IEEE Power and Energy Magazine.
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.