Aditya Gupta
- Artificial Intelligence
- Neurology
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications
- Co-authors
- Vibha JainMonu BhagatChythra R RaoVinaya RajanB B DarshanBijendra KumarGreg DurrettPrabal Verma
- Topics
- COVID-19 diagnosis using AI (4 papers)Machine Learning in Healthcare (3 papers)Brain Tumor Detection and Classification (3 papers)
- Journals
- Investigative Ophthalmology & Visual ScienceMultimedia Tools and ApplicationsJournal of King Saud University - Computer and Information Sciences
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Aditya Gupta
22 papers receiving 282 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 71
- Neurology 44
- Computer Vision and Pattern Recognition 42
- Radiology, Nuclear Medicine and Imaging 42
- Computer Networks and Communications 39
Countries citing papers authored by Aditya Gupta
This map shows the geographic impact of Aditya Gupta'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 Aditya Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Gupta more than expected).
Fields of papers citing papers by Aditya Gupta
This network shows the impact of papers produced by Aditya Gupta. 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 Aditya Gupta. The network helps show where Aditya Gupta may publish in the future.
Co-authorship network of co-authors of Aditya Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Gupta. A scholar is included among the top collaborators of Aditya Gupta 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 Aditya Gupta. Aditya Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | 23 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 25 | |
| 10 | 18 | |
| 11 | 11 | |
| 12 | 15 | |
| 13 | 50 | |
| 14 | 7 | |
| 15 | Practice of Physical Activity among Future Doctors: A Cross Sectional Analysis. | 44 |
| 16 | Eco-friendly goat husbandry for sustainable livelihood of small farmers | 1 |
| 17 | 25–Gauge Transconjunctival Vitrectomy Safety: Cataract Progression | 1 |
| 18 | 11 | |
| 19 | Transient Post-Operative Hypotony Following Transconjunctival 25 Gauge Vitrectomy | 4 |
| 20 | Ultrasound Biomicroscopic Evaluation of Sclerotomies Created by Transconjunctival 25 Gauge Vitrectomy | 1 |
About Aditya Gupta
Aditya Gupta is a scholar working on Health Information Management, Virology and Neurology, having authored 24 papers that have together received 290 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Machine Learning in Healthcare (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Health Information Management (27 citations), Neurology (44 citations) and Virology (16 citations). Aditya Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Vibha Jain, Monu Bhagat, Chythra R Rao, Vinaya Rajan, B B Darshan, Bijendra Kumar, Greg Durrett, Prabal Verma, Mohit Kumar and Sukhpal Singh Gill. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Multimedia Tools and Applications and Journal of King Saud University - Computer and Information Sciences.
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.