Ashish Bora
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Retinal Imaging and Analysis
Papers in
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- Retinal Imaging and Analysis 3
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- Glaucoma and retinal disorders 1
- Co-authors
- Alexandros G. Dimakis (1 shared paper)Eric Price (1 shared paper)Lily H. Peng (3 shared papers)Dale R. Webster (3 shared papers)Rory Sayres (1 shared paper)Abigail E Huang (1 shared paper)Mike Schaekermann (1 shared paper)Arielle R. Spitze (1 shared paper)
- Journals
- Investigative Ophthalmology & Visual Science (1 paper)Ophthalmology (1 paper)Translational Vision Science & Technology (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesIndiaThailand
In The Last Decade
Ashish Bora
5 papers receiving 215 citations
Peers
Comparison fields: 5 of 32
- Health Informatics 22
- Radiology, Nuclear Medicine and Imaging 125
- Ophthalmology 53
- Computer Vision and Pattern Recognition 40
- Structural Biology 2
Countries citing papers authored by Ashish Bora
This map shows the geographic impact of Ashish Bora'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 Ashish Bora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Bora more than expected).
Fields of papers citing papers by Ashish Bora
This network shows the impact of papers produced by Ashish Bora. 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 Ashish Bora. The network helps show where Ashish Bora may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashish Bora, 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 | 2019 | 156 | |
| 2 | AmbientGAN: Generative models from lossy measurements | 2018 | 50 |
| 3 | 2023 | 9 | |
| 4 | 2014 | 8 | |
| 5 | Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images | 2019 | 1 |
About Ashish Bora
Ashish Bora is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Nuclear Energy and Engineering, having authored 5 papers that have together received 224 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (3 papers), Advanced Memory and Neural Computing (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (125 citations), Ophthalmology (53 citations), Computer Vision and Pattern Recognition (40 citations) and Structural Biology (2 citations). Ashish Bora has collaborated with scholars based in United States, India and Thailand. Frequent co-authors include Alexandros G. Dimakis, Eric Price, Lily H. Peng, Dale R. Webster, Rory Sayres, Abigail E Huang, Mike Schaekermann, Arielle R. Spitze, Felipe Andrade Medeiros and Sonia Phene. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Ophthalmology, Translational Vision Science & Technology and International Conference on Learning Representations.
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.