R. Arul
Impact in
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- Microgrid Control and Optimization
Papers in
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- Optimal Power Flow Distribution 27
- Electric Power System Optimization 22
- Smart Grid Energy Management 21
- Energy Load and Power Forecasting 6
- Electric Vehicles and Infrastructure 5
- Power System Optimization and Stability 3
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- Microgrid Control and Optimization 22
- Co-authors
- S. Velusami (11 shared papers)G. Ravi (11 shared papers)Karthik Nagarajan (17 shared papers)Padmanathan Kasinathan (5 shared papers)Oscar Danilo Montoya (6 shared papers)Vigna K. Ramachandaramurthy (2 shared papers)Vojtěch Blažek (5 shared papers)Mohit Bajaj (6 shared papers)
In The Last Decade
R. Arul
44 papers receiving 903 citations
Peers
Comparison fields: 5 of 72
- Energy Engineering and Power Technology 62
- Control and Systems Engineering 337
- Electrical and Electronic Engineering 756
- Automotive Engineering 57
- Pollution 38
Countries citing papers authored by R. Arul
This map shows the geographic impact of R. Arul'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. Arul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Arul more than expected).
Fields of papers citing papers by R. Arul
This network shows the impact of papers produced by R. Arul. 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. Arul. The network helps show where R. Arul may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Arul, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2013 | 83 | |
| 3 | 2022 | 64 | |
| 4 | 2019 | 58 | |
| 5 | 2014 | 58 | |
| 6 | 2020 | 50 | |
| 7 | 2013 | 46 | |
| 8 | 2018 | 40 | |
| 9 | 2024 | 34 | |
| 10 | 2024 | 33 | |
| 11 | 2022 | 32 | |
| 12 | 2021 | 29 | |
| 13 | 2014 | 28 | |
| 14 | 2024 | 25 | |
| 15 | 2024 | 24 | |
| 16 | 2022 | 22 | |
| 17 | 2012 | 21 | |
| 18 | 2013 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2023 | 17 |
About R. Arul
R. Arul is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Networks and Communications, Automotive Engineering and Energy Engineering and Power Technology, having authored 46 papers that have together received 956 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (27 papers), Microgrid Control and Optimization (22 papers), Electric Power System Optimization (22 papers), Smart Grid Energy Management (21 papers), Energy Load and Power Forecasting (6 papers), Electric Vehicles and Infrastructure (5 papers), Advanced Battery Technologies Research (3 papers) and Power System Optimization and Stability (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (62 citations), Control and Systems Engineering (337 citations), Electrical and Electronic Engineering (756 citations), Automotive Engineering (57 citations) and Pollution (38 citations). R. Arul has collaborated with scholars based in India, Colombia and Jordan. Frequent co-authors include S. Velusami, G. Ravi, Karthik Nagarajan, Padmanathan Kasinathan, Oscar Danilo Montoya, Vigna K. Ramachandaramurthy, Vojtěch Blažek, Mohit Bajaj, S. Angalaeswari and Jagadeesh Pasupuleti. Their work appears in journals such as Energies, Scientific Reports, Results in Engineering, Journal of Cleaner Production and Advances in Complex Systems.
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.