Sunil Bhat
Impact in
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- Power Systems Fault Detection
- Machine Fault Diagnosis Techniques
- Microgrid Control and Optimization
- Smart Grid Security and Resilience
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- Power System Reliability and Maintenance
Papers in
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- Power System Optimization and Stability 20
- Optimal Power Flow Distribution 18
- Islanding Detection in Power Systems 9
- HVDC Systems and Fault Protection 8
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- Smart Grid Security and Resilience 11
- Microgrid Control and Optimization 11
- Power Systems Fault Detection 11
- Machine Fault Diagnosis Techniques 8
- Co-authors
- Mohan Khedkar (5 shared papers)Arvind R. Singh (2 shared papers)T. S. Bhatti (4 shared papers)Neeraj Dhanraj Bokde (1 shared paper)D. P. Kothari (4 shared papers)Arghya Mitra (5 shared papers)Mummadi Veerachary (1 shared paper)Ashwin Kothari (1 shared paper)
In The Last Decade
Sunil Bhat
54 papers receiving 466 citations
Peers
Comparison fields: 5 of 52
- Control and Systems Engineering 348
- Safety, Risk, Reliability and Quality 55
- Electrical and Electronic Engineering 328
- Energy Engineering and Power Technology 13
- Modeling and Simulation 16
Countries citing papers authored by Sunil Bhat
This map shows the geographic impact of Sunil Bhat'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 Sunil Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Bhat more than expected).
Fields of papers citing papers by Sunil Bhat
This network shows the impact of papers produced by Sunil Bhat. 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 Sunil Bhat. The network helps show where Sunil Bhat may publish in the future.
Co-authors
The 21 scholars most cited alongside Sunil Bhat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2017 | 39 | |
| 3 | 2014 | 37 | |
| 4 | 2022 | 33 | |
| 5 | 2022 | 20 | |
| 6 | 2020 | 20 | |
| 7 | 2022 | 15 | |
| 8 | 2017 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2022 | 11 | |
| 11 | 2006 | 11 | |
| 12 | 2015 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2005 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2017 | 8 | |
| 20 | 2024 | 6 |
About Sunil Bhat
Sunil Bhat is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Mechanical Engineering and Statistical and Nonlinear Physics, having authored 61 papers that have together received 490 indexed citations. Recurring topics across this work include Power System Optimization and Stability (20 papers), Optimal Power Flow Distribution (18 papers), Smart Grid Security and Resilience (11 papers), Microgrid Control and Optimization (11 papers), Power Systems Fault Detection (11 papers), Islanding Detection in Power Systems (9 papers), HVDC Systems and Fault Protection (8 papers) and Machine Fault Diagnosis Techniques (8 papers). The work is most often cited by research in Control and Systems Engineering (348 citations), Safety, Risk, Reliability and Quality (55 citations), Electrical and Electronic Engineering (328 citations), Energy Engineering and Power Technology (13 citations) and Modeling and Simulation (16 citations). Sunil Bhat has collaborated with scholars based in India, Poland and China. Frequent co-authors include Mohan Khedkar, Arvind R. Singh, T. S. Bhatti, Neeraj Dhanraj Bokde, D. P. Kothari, Arghya Mitra, Mummadi Veerachary, Ashwin Kothari, Mohan V. Aware and T. S. Bhatti. Their work appears in journals such as Energies, International Journal of Circuit Theory and Applications, Measurement, Journal of Intelligent & Fuzzy Systems and Journal of Computational Science.
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.