Ramesh Chandra Prusty
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 0.5%
- Energy Engineering and Power Technology top 2%
- Artificial Intelligence
- Automotive Engineering top 10%
- Co-authors
- Sidhartha PandaPrakash Chandra SahuPratap Chandra NayakSonalika MishraAjit Kumar BarisalBuddhadeva SahooSubham SahooBinod Kumar Sahu
- Topics
- Frequency Control in Power Systems (68 papers)Microgrid Control and Optimization (68 papers)Power System Optimization and Stability (25 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
Ramesh Chandra Prusty
69 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 1.4k
- Control and Systems Engineering 1.3k
- Energy Engineering and Power Technology 184
- Artificial Intelligence 80
- Automotive Engineering 57
Countries citing papers authored by Ramesh Chandra Prusty
This map shows the geographic impact of Ramesh Chandra Prusty'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 Ramesh Chandra Prusty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Chandra Prusty more than expected).
Fields of papers citing papers by Ramesh Chandra Prusty
This network shows the impact of papers produced by Ramesh Chandra Prusty. 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 Ramesh Chandra Prusty. The network helps show where Ramesh Chandra Prusty may publish in the future.
Co-authorship network of co-authors of Ramesh Chandra Prusty
This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Chandra Prusty. A scholar is included among the top collaborators of Ramesh Chandra Prusty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ramesh Chandra Prusty. Ramesh Chandra Prusty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 23 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 8 | |
| 15 | 43 | |
| 16 | 5 | |
| 17 | 14 | |
| 18 | 9 | |
| 19 | 18 | |
| 20 | 2 |
About Ramesh Chandra Prusty
Ramesh Chandra Prusty is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Electrical and Electronic Engineering, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Frequency Control in Power Systems (68 papers), Microgrid Control and Optimization (68 papers) and Power System Optimization and Stability (25 papers). The work is most often cited by research in Energy Engineering and Power Technology (184 citations), Control and Systems Engineering (1.3k citations) and Electrical and Electronic Engineering (1.4k citations). Ramesh Chandra Prusty has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Sidhartha Panda, Prakash Chandra Sahu, Pratap Chandra Nayak, Sonalika Mishra, Ajit Kumar Barisal, Buddhadeva Sahoo, Subham Sahoo, Binod Kumar Sahu, Srikanta Mohapatra and Sanjay Kumar Patel. Their work appears in journals such as IEEE Access, Applied Soft Computing and Neural Computing and Applications.
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.