Sudeshna Sil Kar
- Radiology, Nuclear Medicine and Imaging top 5%
- Ophthalmology top 2%
- Computer Vision and Pattern Recognition top 10%
- Health Information Management top 5%
- Biomedical Engineering
- Co-authors
- Santi P. MaityJustis P. EhlersAnant MadabhushiDuriye Damla SevgiSunil K. SrivastavaAnkita PramanikGagan KalraLeina Lunasco
- Topics
- Retinal Imaging and Analysis (23 papers)Retinal Diseases and Treatments (12 papers)Glaucoma and retinal disorders (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Sudeshna Sil Kar
22 papers receiving 310 citations
Peers
Comparison fields: 5 of 27
- Radiology, Nuclear Medicine and Imaging 309
- Ophthalmology 243
- Computer Vision and Pattern Recognition 141
- Health Information Management 41
- Biomedical Engineering 23
Countries citing papers authored by Sudeshna Sil Kar
This map shows the geographic impact of Sudeshna Sil Kar'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 Sudeshna Sil Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudeshna Sil Kar more than expected).
Fields of papers citing papers by Sudeshna Sil Kar
This network shows the impact of papers produced by Sudeshna Sil Kar. 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 Sudeshna Sil Kar. The network helps show where Sudeshna Sil Kar may publish in the future.
Co-authorship network of co-authors of Sudeshna Sil Kar
This figure shows the co-authorship network connecting the top 25 collaborators of Sudeshna Sil Kar. A scholar is included among the top collaborators of Sudeshna Sil Kar 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 Sudeshna Sil Kar. Sudeshna Sil Kar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | Multi-Compartment OCT-derived Radiomics Features to predict Anti-VEGF Treatment Durability for Diabetic Macular Edema | 0 |
| 11 | Evaluating the Utility of Deep Learning Using Ultra-widefield Fluorescein Angiography for Predicting Need for Anti-VEGF Therapy in Diabetic Eye Disease | 2 |
| 12 | 20 | |
| 13 | 6 | |
| 14 | 115 | |
| 15 | 20 | |
| 16 | 42 | |
| 17 | 22 | |
| 18 | 26 | |
| 19 | 4 | |
| 20 | 1 |
About Sudeshna Sil Kar
Sudeshna Sil Kar is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 324 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (23 papers), Retinal Diseases and Treatments (12 papers) and Glaucoma and retinal disorders (11 papers). The work is most often cited by research in Ophthalmology (243 citations), Radiology, Nuclear Medicine and Imaging (309 citations) and Health Information Management (41 citations). Sudeshna Sil Kar has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Santi P. Maity, Justis P. Ehlers, Anant Madabhushi, Duriye Damla Sevgi, Sunil K. Srivastava, Ankita Pramanik, Gagan Kalra, Leina Lunasco, David M. Brown and Xiangyi Meng. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Biomedical Engineering.
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.