Saumik Bhattacharya
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Statistical and Nonlinear Physics top 10%
- Media Technology top 10%
- Sociology and Political Science
- Co-authors
- Sayantari GhoshSumana GuptaUmapada PalK. S. VenkateshYatindra Nath SinghPyari Mohan PradhanVenkatesh K. SubramanianSukalpa Chanda
- Topics
- Advanced Vision and Imaging (10 papers)Advanced Image Processing Techniques (10 papers)Image Enhancement Techniques (10 papers)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Saumik Bhattacharya
43 papers receiving 325 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 165
- Artificial Intelligence 68
- Statistical and Nonlinear Physics 49
- Media Technology 48
- Sociology and Political Science 44
Countries citing papers authored by Saumik Bhattacharya
This map shows the geographic impact of Saumik Bhattacharya'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 Saumik Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saumik Bhattacharya more than expected).
Fields of papers citing papers by Saumik Bhattacharya
This network shows the impact of papers produced by Saumik Bhattacharya. 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 Saumik Bhattacharya. The network helps show where Saumik Bhattacharya may publish in the future.
Co-authorship network of co-authors of Saumik Bhattacharya
This figure shows the co-authorship network connecting the top 25 collaborators of Saumik Bhattacharya. A scholar is included among the top collaborators of Saumik Bhattacharya 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 Saumik Bhattacharya. Saumik Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 21 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 50 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 8 |
About Saumik Bhattacharya
Saumik Bhattacharya is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation and Media Technology, having authored 47 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Advanced Image Processing Techniques (10 papers) and Image Enhancement Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Modeling and Simulation (37 citations) and Media Technology (48 citations). Saumik Bhattacharya has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Sayantari Ghosh, Sumana Gupta, Umapada Pal, K. S. Venkatesh, Yatindra Nath Singh, Pyari Mohan Pradhan, Venkatesh K. Subramanian, Sukalpa Chanda, Cheng‐Lin Liu and Subhankar Ghosh. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing and Pattern Recognition.
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.