Niladri Chakraborty
- Electrical and Electronic Engineering top 5%
- Biomedical Engineering top 2%
- Mechanical Engineering top 2%
- Control and Systems Engineering top 2%
- Computational Mechanics top 2%
- Co-authors
- Kamal Krishna MandalApurba Kumar SantraSwarnendu SenSanti Gopal SahuP. SarkarA.K. AdakMousumi BasuAmitava Datta
- Topics
- Optimal Power Flow Distribution (52 papers)Microgrid Control and Optimization (51 papers)Electric Power System Optimization (43 papers)
- Partner nations
- IndiaSouth AfricaUnited Kingdom
In The Last Decade
Niladri Chakraborty
135 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 106
- Electrical and Electronic Engineering 1.3k
- Biomedical Engineering 1.3k
- Mechanical Engineering 755
- Control and Systems Engineering 564
- Computational Mechanics 405
Countries citing papers authored by Niladri Chakraborty
This map shows the geographic impact of Niladri Chakraborty'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 Niladri Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niladri Chakraborty more than expected).
Fields of papers citing papers by Niladri Chakraborty
This network shows the impact of papers produced by Niladri Chakraborty. 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 Niladri Chakraborty. The network helps show where Niladri Chakraborty may publish in the future.
Co-authorship network of co-authors of Niladri Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Niladri Chakraborty. A scholar is included among the top collaborators of Niladri Chakraborty 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 Niladri Chakraborty. Niladri Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 24 | |
| 9 | 5 | |
| 10 | 45 | |
| 11 | 117 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 17 | |
| 18 | 4 | |
| 19 | 28 | |
| 20 | 3 |
About Niladri Chakraborty
Niladri Chakraborty is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 142 papers that have together received 3.0k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (52 papers), Microgrid Control and Optimization (51 papers) and Electric Power System Optimization (43 papers). The work is most often cited by research in Energy Engineering and Power Technology (151 citations), Biomedical Engineering (1.3k citations) and Geochemistry and Petrology (164 citations). Niladri Chakraborty has collaborated with scholars based in India, South Africa and United Kingdom. Frequent co-authors include Kamal Krishna Mandal, Apurba Kumar Santra, Swarnendu Sen, Santi Gopal Sahu, P. Sarkar, A.K. Adak, Mousumi Basu, Amitava Datta, S. Chowdhury and Sourav Mandal. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Applied Energy and IEEE Transactions on Power 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.