Subhojit Som
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Image and Signal Denoising Methods
- Biophysics top 5%
- Electron Spin Resonance Studies
Papers in
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- Image and Signal Denoising Methods 2
- Video Analysis and Summarization 2
- Multimodal Machine Learning Applications 2
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- Advanced MRI Techniques and Applications 5
- Co-authors
- Philip Schniter (3 shared papers)Furu Wei (1 shared paper)Kriti Aggarwal (2 shared papers)Johan Björck (1 shared paper)Owais Khan Mohammed (2 shared papers)Wenhui Wang (1 shared paper)Saksham Singhal (1 shared paper)Dong Li (1 shared paper)
- Journals
- Journal of Magnetic Resonance (4 papers)IEEE Transactions on Signal Processing (1 paper)SMARTech Repository (Georgia Institute of Technology) (1 paper)
- Partner nations
- United StatesFinland
In The Last Decade
Subhojit Som
11 papers receiving 446 citations
Subhojit Som's Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 249
- Biophysics 54
- Signal Processing 62
- Computational Mechanics 108
- Artificial Intelligence 155
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-authors
The 25 scholars most cited alongside Subhojit Som, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks Hit paper breakdown → | 2023 | 260 |
| 2 | 2012 | 114 | |
| 3 | 2007 | 20 | |
| 4 | 2008 | 17 | |
| 5 | 2010 | 16 | |
| 6 | 2010 | 11 | |
| 7 | 2010 | 8 | |
| 8 | VisIRR: Interactive Visual Information Retrieval and Recommendation for Large-scale Document Data | 2013 | 6 |
| 9 | 2011 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2016 | 2 |
About Subhojit Som
Subhojit Som is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Biophysics and Signal Processing, having authored 11 papers that have together received 460 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Electron Spin Resonance Studies (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Image and Signal Denoising Methods (2 papers), Video Analysis and Summarization (2 papers), Blind Source Separation Techniques (2 papers), Lanthanide and Transition Metal Complexes (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (249 citations), Biophysics (54 citations), Signal Processing (62 citations), Computational Mechanics (108 citations) and Artificial Intelligence (155 citations). Subhojit Som has collaborated with scholars based in United States and Finland. Frequent co-authors include Philip Schniter, Furu Wei, Kriti Aggarwal, Johan Björck, Owais Khan Mohammed, Wenhui Wang, Saksham Singhal, Dong Li, Hangbo Bao and Qiang Liu. Their work appears in journals such as Journal of Magnetic Resonance, IEEE Transactions on Signal Processing and SMARTech Repository (Georgia Institute of Technology).
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.