Ajit Kumar Barisal
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Energy Engineering and Power Technology top 5%
- Computational Theory and Mathematics top 10%
- Co-authors
- Prakash Kumar HotaR. ChakrabartiDeepak LalRamesh Chandra PrustyM. TripathyTapan PrakashAmbarish PandaSandeep Biswal
- Topics
- Microgrid Control and Optimization (29 papers)Frequency Control in Power Systems (22 papers)Electric Power System Optimization (21 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaEnergyApplied Soft Computing
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Ajit Kumar Barisal
56 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 1.4k
- Control and Systems Engineering 650
- Artificial Intelligence 237
- Energy Engineering and Power Technology 95
- Computational Theory and Mathematics 74
Countries citing papers authored by Ajit Kumar Barisal
This map shows the geographic impact of Ajit Kumar Barisal'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 Ajit Kumar Barisal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Kumar Barisal more than expected).
Fields of papers citing papers by Ajit Kumar Barisal
This network shows the impact of papers produced by Ajit Kumar Barisal. 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 Ajit Kumar Barisal. The network helps show where Ajit Kumar Barisal may publish in the future.
Co-authorship network of co-authors of Ajit Kumar Barisal
This figure shows the co-authorship network connecting the top 25 collaborators of Ajit Kumar Barisal. A scholar is included among the top collaborators of Ajit Kumar Barisal 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 Ajit Kumar Barisal. Ajit Kumar Barisal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 17 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | 49 | |
| 17 | 4 | |
| 18 | 71 | |
| 19 | 134 | |
| 20 | 198 |
About Ajit Kumar Barisal
Ajit Kumar Barisal is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (29 papers), Frequency Control in Power Systems (22 papers) and Electric Power System Optimization (21 papers). The work is most often cited by research in Energy Engineering and Power Technology (95 citations), Control and Systems Engineering (650 citations) and Electrical and Electronic Engineering (1.4k citations). Ajit Kumar Barisal has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Prakash Kumar Hota, R. Chakrabarti, Deepak Lal, Ramesh Chandra Prusty, M. Tripathy, Tapan Prakash, Ambarish Panda, Sandeep Biswal, Subham Sahoo and Biswa Binayak Mangaraj. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy and Applied Soft Computing.
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.