Sundaresan Raman
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Ophthalmology top 10%
- Artificial Intelligence
- Co-authors
- Rephael WengerVinay ChamolaKim L. BoyerPratik NarangJ JacobGaurang BansalSudeep SarkarPuneet S. Jolly
- Topics
- Retinal Imaging and Analysis (8 papers)Retinal Diseases and Treatments (5 papers)Smart Agriculture and AI (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignOphthalmologyComputer Vision and Pattern Recognition
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Sundaresan Raman
27 papers receiving 265 citations
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 81
- Computer Vision and Pattern Recognition 77
- Plant Science 51
- Ophthalmology 49
- Artificial Intelligence 38
Countries citing papers authored by Sundaresan Raman
This map shows the geographic impact of Sundaresan Raman'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 Sundaresan Raman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sundaresan Raman more than expected).
Fields of papers citing papers by Sundaresan Raman
This network shows the impact of papers produced by Sundaresan Raman. 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 Sundaresan Raman. The network helps show where Sundaresan Raman may publish in the future.
Co-authorship network of co-authors of Sundaresan Raman
This figure shows the co-authorship network connecting the top 25 collaborators of Sundaresan Raman. A scholar is included among the top collaborators of Sundaresan Raman 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 Sundaresan Raman. Sundaresan Raman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 15 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 51 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 13 | |
| 16 | 29 | |
| 17 | 4 | |
| 18 | 17 | |
| 19 | 9 | |
| 20 | 15 |
About Sundaresan Raman
Sundaresan Raman is a scholar working on Ophthalmology, Computer Graphics and Computer-Aided Design and Biophysics, having authored 28 papers that have together received 282 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (8 papers), Retinal Diseases and Treatments (5 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (25 citations), Ophthalmology (49 citations) and Computer Vision and Pattern Recognition (77 citations). Sundaresan Raman has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Rephael Wenger, Vinay Chamola, Kim L. Boyer, Pratik Narang, J Jacob, Gaurang Bansal, Sudeep Sarkar, Puneet S. Jolly, Rajiv Raman and Joel Saltz. Their work appears in journals such as PLoS ONE, American Journal of Obstetrics and Gynecology and IEEE Transactions on Medical Imaging.
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.