Sayanjit Singha Roy
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Materials Chemistry
- Cognitive Neuroscience
- Co-authors
- Soumya ChatterjeeRohit BoseAshish ParamaneArup Kumar DasSubho PaulSawon PratiherU. Mohan RaoM. Tariq Nazir
- Topics
- High voltage insulation and dielectric phenomena (14 papers)EEG and Brain-Computer Interfaces (9 papers)Muscle activation and electromyography studies (6 papers)
- Cited by
- Control and Systems EngineeringCognitive NeuroscienceIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Industry ApplicationsIEEE Transactions on Instrumentation and MeasurementIEEE Sensors Journal
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Sayanjit Singha Roy
27 papers receiving 323 citations
Peers
Comparison fields: 5 of 66
- Control and Systems Engineering 144
- Electrical and Electronic Engineering 93
- Mechanical Engineering 80
- Materials Chemistry 69
- Cognitive Neuroscience 48
Countries citing papers authored by Sayanjit Singha Roy
This map shows the geographic impact of Sayanjit Singha Roy'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 Sayanjit Singha Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayanjit Singha Roy more than expected).
Fields of papers citing papers by Sayanjit Singha Roy
This network shows the impact of papers produced by Sayanjit Singha Roy. 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 Sayanjit Singha Roy. The network helps show where Sayanjit Singha Roy may publish in the future.
Co-authorship network of co-authors of Sayanjit Singha Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Sayanjit Singha Roy. A scholar is included among the top collaborators of Sayanjit Singha Roy 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 Sayanjit Singha Roy. Sayanjit Singha Roy 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 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | 18 | |
| 11 | 10 | |
| 12 | 13 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 11 | |
| 17 | 130 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 6 |
About Sayanjit Singha Roy
Sayanjit Singha Roy is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 29 papers that have together received 334 indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (14 papers), EEG and Brain-Computer Interfaces (9 papers) and Muscle activation and electromyography studies (6 papers). The work is most often cited by research in Control and Systems Engineering (144 citations), Cognitive Neuroscience (48 citations) and Industrial and Manufacturing Engineering (22 citations). Sayanjit Singha Roy has collaborated with scholars based in India, United States and China. Frequent co-authors include Soumya Chatterjee, Rohit Bose, Ashish Paramane, Arup Kumar Das, Subho Paul, Sawon Pratiher, U. Mohan Rao, M. Tariq Nazir, Arnab Nandi and Biswarup Ganguly. Their work appears in journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.
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.