Avinash V. Varadarajan
- Radiology, Nuclear Medicine and Imaging top 1%
- Ophthalmology top 0.5%
- Artificial Intelligence top 5%
- Health Informatics top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Dale R. WebsterLily PengGreg S. CorradoYun LiuMichael V. McConnellKaty BlumerRyan PoplinDaniel Shu Wei Ting
- Topics
- Retinal Imaging and Analysis (8 papers)Acute Ischemic Stroke Management (3 papers)Retinal Diseases and Treatments (3 papers)
- Partner nations
- United StatesIndiaAustria
In The Last Decade
Avinash V. Varadarajan
10 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Radiology, Nuclear Medicine and Imaging 1.1k
- Ophthalmology 732
- Artificial Intelligence 298
- Health Informatics 219
- Computer Vision and Pattern Recognition 181
Countries citing papers authored by Avinash V. Varadarajan
This map shows the geographic impact of Avinash V. Varadarajan'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 Avinash V. Varadarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash V. Varadarajan more than expected).
Fields of papers citing papers by Avinash V. Varadarajan
This network shows the impact of papers produced by Avinash V. Varadarajan. 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 Avinash V. Varadarajan. The network helps show where Avinash V. Varadarajan may publish in the future.
Co-authorship network of co-authors of Avinash V. Varadarajan
This figure shows the co-authorship network connecting the top 25 collaborators of Avinash V. Varadarajan. A scholar is included among the top collaborators of Avinash V. Varadarajan 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 Avinash V. Varadarajan. Avinash V. Varadarajan 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 | 20 | |
| 3 | 5 | |
| 4 | 26 | |
| 5 | 53 | |
| 6 | 7 | |
| 7 | 133 | |
| 8 | Deep learning in ophthalmology: The technical and clinical considerationsbreakdown → | 345 |
| 9 | Prediction of cardiovascular risk factors from retinal fundus photographs via deep learningbreakdown → | 1029 |
| 10 | 17 |
About Avinash V. Varadarajan
Avinash V. Varadarajan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (8 papers), Acute Ischemic Stroke Management (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Health Informatics (219 citations), Ophthalmology (732 citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Avinash V. Varadarajan has collaborated with scholars based in United States, India and Austria. Frequent co-authors include Dale R. Webster, Lily Peng, Greg S. Corrado, Yun Liu, Michael V. McConnell, Katy Blumer, Ryan Poplin, Daniel Shu Wei Ting, Philippe Burlina and Pearse A. Keane. Their work appears in journals such as eLife, Progress in Retinal and Eye Research and Nature 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.