Subhojit Som
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Radiology, Nuclear Medicine and Imaging
- Signal Processing top 10%
- Co-authors
- Philip SchniterKriti AggarwalDong LiSaksham SinghalZhiliang PengJohan BjörckHangbo BaoFuru Wei
- Topics
- Advanced MRI Techniques and Applications (5 papers)Sparse and Compressive Sensing Techniques (4 papers)Electron Spin Resonance Studies (4 papers)
- Journals
- IEEE Transactions on Signal ProcessingDecision Support SystemsJournal of Magnetic Resonance
- Partner nations
- United StatesFinlandIndia
In The Last Decade
Subhojit Som
12 papers receiving 434 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 241
- Artificial Intelligence 151
- Computational Mechanics 108
- Radiology, Nuclear Medicine and Imaging 63
- Signal Processing 62
Countries citing papers authored by Subhojit Som
This map shows the geographic impact of Subhojit Som'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 Subhojit Som with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhojit Som more than expected).
Fields of papers citing papers by Subhojit Som
This network shows the impact of papers produced by Subhojit Som. 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 Subhojit Som. The network helps show where Subhojit Som may publish in the future.
Co-authorship network of co-authors of Subhojit Som
This figure shows the co-authorship network connecting the top 25 collaborators of Subhojit Som. A scholar is included among the top collaborators of Subhojit Som 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 Subhojit Som. Subhojit Som 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 | 2 | |
| 3 | Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasksbreakdown → | 247 |
| 4 | 2 | |
| 5 | VisIRR: Interactive Visual Information Retrieval and Recommendation for Large-scale Document Data | 6 |
| 6 | 114 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 17 | |
| 12 | 20 |
About Subhojit Som
Subhojit Som is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 448 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Electron Spin Resonance Studies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Biophysics (55 citations) and Signal Processing (62 citations). Subhojit Som has collaborated with scholars based in United States, Finland and India. Frequent co-authors include Philip Schniter, Kriti Aggarwal, Dong Li, Saksham Singhal, Zhiliang Peng, Johan Björck, Hangbo Bao, Furu Wei, Wenhui Wang and Qiang Liu. Their work appears in journals such as IEEE Transactions on Signal Processing, Decision Support Systems and Journal of Magnetic Resonance.
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.