Soumick Chatterjee
About
In The Last Decade
Soumick Chatterjee
17 papers receiving 168 citations
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 92
- Computer Vision and Pattern Recognition 71
- Artificial Intelligence 56
- Neurology 54
- Biomedical Engineering 29
Countries citing papers authored by Soumick Chatterjee
This map shows the geographic impact of Soumick Chatterjee'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 Soumick Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumick Chatterjee more than expected).
Fields of papers citing papers by Soumick Chatterjee
This network shows the impact of papers produced by Soumick Chatterjee. 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 Soumick Chatterjee. The network helps show where Soumick Chatterjee may publish in the future.
Co-authorship network of co-authors of Soumick Chatterjee
This figure shows the co-authorship network connecting the top 25 collaborators of Soumick Chatterjee. A scholar is included among the top collaborators of Soumick Chatterjee 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 Soumick Chatterjee. Soumick Chatterjee 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 | 11 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 22 | |
| 13 | 64 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 12 | |
| 17 | 16 | |
| 18 | 3 | |
| 19 | DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. | 1 |
| 20 | 12 |
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.