R.G. Vidhya
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare 8
-
- Brain Tumor Detection and Classification 7
- Co-authors
- J. Surendiran (7 shared papers)Naveen Raj Yuvaraj (1 shared paper)M. Siva Ramkumar (1 shared paper)Vinodh P Vijayan (2 shared papers)T. Aditya Sai Srinivas (2 shared papers)Balaji G. N (1 shared paper)Devvret Verma (1 shared paper)Radha Raman Chandan (1 shared paper)
- Journals
- Journal of Intelligent & Fuzzy Systems (1 paper)Applied Soft Computing (1 paper)Scientific Reports (1 paper)Journal of X-Ray Science and Technology (1 paper)Intelligent Automation & Soft Computing (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
R.G. Vidhya
40 papers receiving 328 citations
Peers
Comparison fields: 5 of 60
- Neurology 89
- Health Information Management 17
- Computer Vision and Pattern Recognition 77
- Artificial Intelligence 102
- Health Informatics 3
Countries citing papers authored by R.G. Vidhya
This map shows the geographic impact of R.G. Vidhya'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 R.G. Vidhya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.G. Vidhya more than expected).
Fields of papers citing papers by R.G. Vidhya
This network shows the impact of papers produced by R.G. Vidhya. 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 R.G. Vidhya. The network helps show where R.G. Vidhya may publish in the future.
Co-authors
The 25 scholars most cited alongside R.G. Vidhya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 42 | |
| 2 | 2022 | 20 | |
| 3 | 2022 | 20 | |
| 4 | 2022 | 17 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2024 | 12 | |
| 15 | 2015 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 7 |
About R.G. Vidhya
R.G. Vidhya is a scholar working on Health Information Management, Neurology, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 54 papers that have together received 336 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (8 papers), AI in cancer detection (8 papers), Brain Tumor Detection and Classification (7 papers), Electric Vehicles and Infrastructure (4 papers), Blockchain Technology Applications and Security (4 papers), Digital Imaging for Blood Diseases (3 papers), Advanced Battery Technologies Research (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Neurology (89 citations), Health Information Management (17 citations), Computer Vision and Pattern Recognition (77 citations), Artificial Intelligence (102 citations) and Health Informatics (3 citations). R.G. Vidhya has collaborated with scholars based in India, United States and China. Frequent co-authors include J. Surendiran, Naveen Raj Yuvaraj, M. Siva Ramkumar, Vinodh P Vijayan, T. Aditya Sai Srinivas, Balaji G. N, Devvret Verma, Radha Raman Chandan, Chandra Sekhar Kolli and Prabhdeep Singh. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Applied Soft Computing, Scientific Reports, Journal of X-Ray Science and Technology and Intelligent Automation & Soft Computing.
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.