Surender Dahiya
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- Microgrid Control and Optimization 14
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- Frequency Control in Power Systems 8
- Power System Optimization and Stability 6
- Optimal Power Flow Distribution 5
- Wind Turbine Control Systems 5
- Power Quality and Harmonics 4
- Electric Power System Optimization 4
- Smart Grid Energy Management 3
- Co-authors
- K. P. Singh ParmarBhuvnesh KhokharD. K. JainPradeep KumarNaveen Kumar KaushikAarti GuptaAshok KumarMayank Dave
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Journals
- Applied Soft Computing (1 paper)Arabian Journal for Science and Engineering (1 paper)International Journal of Sustainable Energy (1 paper)
- Partner nations
- IndiaSingaporeUnited States
In The Last Decade
Surender Dahiya
24 papers receiving 322 citations
Peers
Comparison fields: 5 of 44
- Energy Engineering and Power Technology 45
- Control and Systems Engineering 270
- Electrical and Electronic Engineering 298
- Automotive Engineering 30
- Artificial Intelligence 21
Countries citing papers authored by Surender Dahiya
This map shows the geographic impact of Surender Dahiya'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 Surender Dahiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surender Dahiya more than expected).
Fields of papers citing papers by Surender Dahiya
This network shows the impact of papers produced by Surender Dahiya. 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 Surender Dahiya. The network helps show where Surender Dahiya may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Surender Dahiya, 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 | 2023 | 0 | |
| 2 | 2021 | 60 | |
| 3 | 2020 | 7 | |
| 4 | 2020 | 32 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 81 | |
| 7 | 2020 | 12 | |
| 8 | 2018 | 1 | |
| 9 | 2014 | 1 | |
| 10 | 2014 | 0 | |
| 11 | 2013 | 11 | |
| 12 | 2013 | 4 | |
| 13 | 2012 | 1 | |
| 14 | Fuzzy Logic Blade Pitch Angle Control Of A Hybrid Wind-Diesel-Battery Energy Conversion System | 2012 | 2 |
| 15 | 2012 | 8 | |
| 16 | 2012 | 2 | |
| 17 | 2012 | 2 | |
| 18 | 2012 | 6 | |
| 19 | 2009 | 2 | |
| 20 | 2007 | 6 |
About Surender Dahiya
Surender Dahiya is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 28 papers that have together received 338 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (14 papers), Frequency Control in Power Systems (8 papers), Power System Optimization and Stability (6 papers), Optimal Power Flow Distribution (5 papers), Wind Turbine Control Systems (5 papers), Power Quality and Harmonics (4 papers), Electric Power System Optimization (4 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (45 citations), Control and Systems Engineering (270 citations) and Electrical and Electronic Engineering (298 citations). Surender Dahiya has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include K. P. Singh Parmar, Bhuvnesh Khokhar, D. K. Jain, Pradeep Kumar, Naveen Kumar Kaushik, Aarti Gupta, Ashok Kumar, Mayank Dave, Rajiv Kapoor and Manish Kumar. Their work appears in journals such as Applied Soft Computing, Arabian Journal for Science and Engineering and International Journal of Sustainable Energy.
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.