Sayak Mukherjee
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Mechanical Engineering
- Co-authors
- Aranya ChakraborttyHe BaiThanh Long VuMatthew B. PanzerBiman JanaRahul DasArgha BanerjeeVandana Singh
- Topics
- Adaptive Dynamic Programming Control (13 papers)Microgrid Control and Optimization (11 papers)Power System Optimization and Stability (9 papers)
- Cited by
- Control and Systems EngineeringComputational Theory and MathematicsElectrical and Electronic Engineering
- Partner nations
- United StatesIndiaChina
In The Last Decade
Sayak Mukherjee
39 papers receiving 384 citations
Peers
Comparison fields: 5 of 67
- Electrical and Electronic Engineering 192
- Control and Systems Engineering 138
- Computational Theory and Mathematics 78
- Biomedical Engineering 61
- Mechanical Engineering 38
Countries citing papers authored by Sayak Mukherjee
This map shows the geographic impact of Sayak Mukherjee'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 Sayak Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayak Mukherjee more than expected).
Fields of papers citing papers by Sayak Mukherjee
This network shows the impact of papers produced by Sayak Mukherjee. 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 Sayak Mukherjee. The network helps show where Sayak Mukherjee may publish in the future.
Co-authorship network of co-authors of Sayak Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Sayak Mukherjee. A scholar is included among the top collaborators of Sayak Mukherjee 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 Sayak Mukherjee. Sayak Mukherjee 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 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 0 | |
| 12 | 25 | |
| 13 | 22 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 89 | |
| 20 | 4 |
About Sayak Mukherjee
Sayak Mukherjee is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 43 papers that have together received 398 indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (13 papers), Microgrid Control and Optimization (11 papers) and Power System Optimization and Stability (9 papers). The work is most often cited by research in Control and Systems Engineering (138 citations), Computational Theory and Mathematics (78 citations) and Electrical and Electronic Engineering (192 citations). Sayak Mukherjee has collaborated with scholars based in United States, India and China. Frequent co-authors include Aranya Chakrabortty, He Bai, Thanh Long Vu, Matthew B. Panzer, Biman Jana, Rahul Das, Argha Banerjee, Vandana Singh, Rishi Kumar Verma and Kaushik Kumar. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica 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.