Shouvik Chakraborty
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 5%
- Computational Theory and Mathematics top 10%
- Co-authors
- Kalyani MaliSankhadeep ChatterjeeMousomi RoyAmira S. AshourNilanjan DeySoumen BanerjeeS. BhowmikFuqian Shi
- Topics
- Chaos-based Image/Signal Encryption (11 papers)Advanced Steganography and Watermarking Techniques (10 papers)Digital Imaging for Blood Diseases (7 papers)
In The Last Decade
Shouvik Chakraborty
43 papers receiving 537 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 331
- Artificial Intelligence 210
- Radiology, Nuclear Medicine and Imaging 104
- Media Technology 66
- Computational Theory and Mathematics 56
Countries citing papers authored by Shouvik Chakraborty
This map shows the geographic impact of Shouvik 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 Shouvik Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouvik Chakraborty more than expected).
Fields of papers citing papers by Shouvik Chakraborty
This network shows the impact of papers produced by Shouvik 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 Shouvik Chakraborty. The network helps show where Shouvik Chakraborty may publish in the future.
Co-authorship network of co-authors of Shouvik Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Shouvik Chakraborty. A scholar is included among the top collaborators of Shouvik 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 Shouvik Chakraborty. Shouvik 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 | 6 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 13 | |
| 13 | 9 | |
| 14 | 22 | |
| 15 | 39 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 63 | |
| 19 | 27 | |
| 20 | 60 |
About Shouvik Chakraborty
Shouvik Chakraborty is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 45 papers that have together received 551 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (11 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Digital Imaging for Blood Diseases (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (331 citations), Media Technology (66 citations) and Artificial Intelligence (210 citations). Shouvik Chakraborty has collaborated with scholars based in India, China and Egypt. Frequent co-authors include Kalyani Mali, Sankhadeep Chatterjee, Mousomi Roy, Amira S. Ashour, Nilanjan Dey, Soumen Banerjee, S. Bhowmik, Fuqian Shi, Chung Văn Lê and Dac‐Nhuong Le. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and Applied Soft Computing.
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.