Shantanu Chakraborty
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology top 5%
- Co-authors
- Tomonobu SenjyuAhmed Yousuf SaberAtsushi YonaTakayuki ItōToshihisa FunabashiParas MandalMichael KaisersTim Baarslag
- Topics
- Smart Grid Energy Management (34 papers)Electric Power System Optimization (28 papers)Microgrid Control and Optimization (22 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shantanu Chakraborty
58 papers receiving 846 citations
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 743
- Control and Systems Engineering 333
- Artificial Intelligence 134
- Renewable Energy, Sustainability and the Environment 102
- Energy Engineering and Power Technology 99
Countries citing papers authored by Shantanu Chakraborty
This map shows the geographic impact of Shantanu 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 Shantanu Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shantanu Chakraborty more than expected).
Fields of papers citing papers by Shantanu Chakraborty
This network shows the impact of papers produced by Shantanu 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 Shantanu Chakraborty. The network helps show where Shantanu Chakraborty may publish in the future.
Co-authorship network of co-authors of Shantanu Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Shantanu Chakraborty. A scholar is included among the top collaborators of Shantanu 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 Shantanu Chakraborty. Shantanu 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 | 1 | |
| 2 | 25 | |
| 3 | 80 | |
| 4 | 56 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 70 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 31 |
About Shantanu Chakraborty
Shantanu Chakraborty is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Architecture, having authored 58 papers that have together received 881 indexed citations. Recurring topics across this work include Smart Grid Energy Management (34 papers), Electric Power System Optimization (28 papers) and Microgrid Control and Optimization (22 papers). The work is most often cited by research in Energy Engineering and Power Technology (99 citations), Control and Systems Engineering (333 citations) and Electrical and Electronic Engineering (743 citations). Shantanu Chakraborty has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tomonobu Senjyu, Ahmed Yousuf Saber, Atsushi Yona, Takayuki Itō, Toshihisa Funabashi, Paras Mandal, Michael Kaisers, Tim Baarslag, Shin Nakamura and Toshihisa Funabashi. Their work appears in journals such as Applied Energy, Expert Systems with Applications and 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.