Ashish Bora
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
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- Retinal Imaging and Analysis
Papers in
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- Retinal Diseases and Treatments 2
- Retinal and Optic Conditions 1
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- Image and Signal Denoising Methods 1
- Co-authors
- Eric Price (2 shared papers)Alexandros G. Dimakis (2 shared papers)Ajil Jalal (1 shared paper)Dale R. Webster (3 shared papers)Lily Peng (3 shared papers)Greg S. Corrado (2 shared papers)Sonia Phene (1 shared paper)Christopher Semturs (2 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (1 paper)Translational Vision Science & Technology (1 paper)Ophthalmology (1 paper)International Conference on Learning Representations (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIndiaThailand
In The Last Decade
Ashish Bora
6 papers receiving 288 citations
Peers
Comparison fields: 5 of 57
- Ophthalmology 80
- Radiology, Nuclear Medicine and Imaging 134
- Health Informatics 7
- Computer Vision and Pattern Recognition 100
- Acoustics and Ultrasonics 4
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 | 140 | |
| 2 | 2017 | 101 | |
| 3 | AmbientGAN: Generative models from lossy measurements | 2018 | 46 |
| 4 | 2014 | 8 | |
| 5 | 2023 | 7 | |
| 6 | Deep Learning for Predicting the Progression of Diabetic Retinopathy using Fundus Images | 2020 | 1 |
| 7 | Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images | 2019 | 0 |
About Ashish Bora
Ashish Bora is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 303 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (2 papers), Retinal Diseases and Treatments (2 papers), Sparse and Compressive Sensing Techniques (1 paper), Integrated Circuits and Semiconductor Failure Analysis (1 paper), Retinal and Optic Conditions (1 paper), Artificial Intelligence in Healthcare (1 paper), Image and Signal Denoising Methods (1 paper) and Model Reduction and Neural Networks (1 paper). The work is most often cited by research in Ophthalmology (80 citations), Radiology, Nuclear Medicine and Imaging (134 citations), Health Informatics (7 citations), Computer Vision and Pattern Recognition (100 citations) and Acoustics and Ultrasonics (4 citations). Ashish Bora has collaborated with scholars based in United States, India and Thailand. Frequent co-authors include Eric Price, Alexandros G. Dimakis, Ajil Jalal, Dale R. Webster, Lily Peng, Greg S. Corrado, Sonia Phene, Christopher Semturs, Rory Sayres and Mike Schaekermann. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Translational Vision Science & Technology, Ophthalmology, International Conference on Learning Representations and arXiv (Cornell University).
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.