Sankha Subhra Bhattacharjee
- Computational Mechanics top 2%
- Signal Processing top 1%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Nithin V. GeorgeKrishna KumarVinal PatelAkhilesh Deepak GotmareRohan PatidarMads Græsbøll ChristensenHaiquan ZhaoYi‐Fei Pu
- Topics
- Advanced Adaptive Filtering Techniques (32 papers)Speech and Audio Processing (24 papers)Blind Source Separation Techniques (19 papers)
In The Last Decade
Sankha Subhra Bhattacharjee
30 papers receiving 646 citations
Peers
Comparison fields: 5 of 45
- Computational Mechanics 527
- Signal Processing 464
- Control and Systems Engineering 117
- Artificial Intelligence 97
- Computer Vision and Pattern Recognition 84
Countries citing papers authored by Sankha Subhra Bhattacharjee
This map shows the geographic impact of Sankha Subhra Bhattacharjee'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 Sankha Subhra Bhattacharjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sankha Subhra Bhattacharjee more than expected).
Fields of papers citing papers by Sankha Subhra Bhattacharjee
This network shows the impact of papers produced by Sankha Subhra Bhattacharjee. 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 Sankha Subhra Bhattacharjee. The network helps show where Sankha Subhra Bhattacharjee may publish in the future.
Co-authorship network of co-authors of Sankha Subhra Bhattacharjee
This figure shows the co-authorship network connecting the top 25 collaborators of Sankha Subhra Bhattacharjee. A scholar is included among the top collaborators of Sankha Subhra Bhattacharjee 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 Sankha Subhra Bhattacharjee. Sankha Subhra Bhattacharjee 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 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 21 | |
| 10 | 24 | |
| 11 | 40 | |
| 12 | 23 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 68 | |
| 17 | 37 | |
| 18 | 8 | |
| 19 | 47 | |
| 20 | 63 |
About Sankha Subhra Bhattacharjee
Sankha Subhra Bhattacharjee is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence, having authored 33 papers that have together received 652 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (32 papers), Speech and Audio Processing (24 papers) and Blind Source Separation Techniques (19 papers). The work is most often cited by research in Computational Mathematics (30 citations), Signal Processing (464 citations) and Computational Mechanics (527 citations). Sankha Subhra Bhattacharjee has collaborated with scholars based in India, Denmark and China. Frequent co-authors include Nithin V. George, Krishna Kumar, Vinal Patel, Akhilesh Deepak Gotmare, Rohan Patidar, Mads Græsbøll Christensen, Haiquan Zhao, Yi‐Fei Pu, Yingying Zhu and Liming Shi. Their work appears in journals such as Mechanical Systems and Signal Processing, IEEE Transactions on Neural Networks and Learning Systems and Signal Processing.
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.