S. R. Krishnadas
- Radiology, Nuclear Medicine and Imaging top 5%
- Ophthalmology top 1%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Jayanthi SivaswamyGopal Datt JoshiGyanendra Prasad JoshiR. PrashanthArunava ChakravartyR.C. GautamSharmila RajendrababuPeriasamy Sundaresan
- Topics
- Glaucoma and retinal disorders (7 papers)Retinal Imaging and Analysis (6 papers)Medical Image Segmentation Techniques (3 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Biomedical EngineeringWorld Journal of Microbiology and BiotechnologyJournal of Glaucoma
- Partner nations
- India
In The Last Decade
S. R. Krishnadas
8 papers receiving 482 citations
Hit Papers
Peers
Comparison fields: 5 of 26
- Radiology, Nuclear Medicine and Imaging 491
- Ophthalmology 431
- Computer Vision and Pattern Recognition 291
- Artificial Intelligence 34
- Biomedical Engineering 34
Countries citing papers authored by S. R. Krishnadas
This map shows the geographic impact of S. R. Krishnadas'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 S. R. Krishnadas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. R. Krishnadas more than expected).
Fields of papers citing papers by S. R. Krishnadas
This network shows the impact of papers produced by S. R. Krishnadas. 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 S. R. Krishnadas. The network helps show where S. R. Krishnadas may publish in the future.
Co-authorship network of co-authors of S. R. Krishnadas
This figure shows the co-authorship network connecting the top 25 collaborators of S. R. Krishnadas. A scholar is included among the top collaborators of S. R. Krishnadas 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 S. R. Krishnadas. S. R. Krishnadas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 25 | |
| 3 | Drishti-GS: Retinal image dataset for optic nerve head(ONH) segmentationbreakdown → | 340 |
| 4 | 54 | |
| 5 | 65 | |
| 6 | 25 | |
| 7 | 2 | |
| 8 | 2 |
About S. R. Krishnadas
S. R. Krishnadas is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 519 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (7 papers), Retinal Imaging and Analysis (6 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Ophthalmology (431 citations), Radiology, Nuclear Medicine and Imaging (491 citations) and Computer Vision and Pattern Recognition (291 citations). S. R. Krishnadas has collaborated with scholars based in India. Frequent co-authors include Jayanthi Sivaswamy, Gopal Datt Joshi, Gyanendra Prasad Joshi, R. Prashanth, Arunava Chakravarty, R.C. Gautam, Sharmila Rajendrababu, Periasamy Sundaresan and S. Krishnaswamy. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, World Journal of Microbiology and Biotechnology and Journal of Glaucoma.
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.