R.G. Vidhya
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
-
- AI in cancer detection 8
- Sentiment Analysis and Opinion Mining 3
- Anomaly Detection Techniques and Applications 3
-
- Electric Vehicles and Infrastructure 4
- Co-authors
- J. Surendiran (7 shared papers)N. Yuvaraj (1 shared paper)M. Ramkumar (1 shared paper)T. Aditya Sai Srinivas (2 shared papers)Dhiraj Kapila (1 shared paper)Devvret Verma (1 shared paper)N. K. Anushkannan (1 shared paper)Ayan Das Gupta (1 shared paper)
- Journals
- Journal of Intelligent & Fuzzy Systems (1 paper)Scientific Reports (1 paper)Journal of X-Ray Science and Technology (1 paper)Applied Soft Computing (1 paper)Intelligent Automation & Soft Computing (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
R.G. Vidhya
34 papers receiving 270 citations
Peers
Comparison fields: 5 of 59
- Neurology 80
- Computer Vision and Pattern Recognition 67
- Health Information Management 13
- Artificial Intelligence 83
- 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 36 | |
| 2 | 2022 | 20 | |
| 3 | 2022 | 18 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2015 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 5 |
About R.G. Vidhya
R.G. Vidhya is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Neurology, having authored 49 papers that have together received 277 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Brain Tumor Detection and Classification (7 papers), Artificial Intelligence in Healthcare (6 papers), Electric Vehicles and Infrastructure (4 papers), Blockchain Technology Applications and Security (4 papers), Sentiment Analysis and Opinion Mining (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 (80 citations), Computer Vision and Pattern Recognition (67 citations), Health Information Management (13 citations), Artificial Intelligence (83 citations) and Health Informatics (3 citations). R.G. Vidhya has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include J. Surendiran, N. Yuvaraj, M. Ramkumar, T. Aditya Sai Srinivas, Dhiraj Kapila, Devvret Verma, N. K. Anushkannan, Ayan Das Gupta, Radha Raman Chandan and Chandra Sekhar Kolli. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Scientific Reports, Journal of X-Ray Science and Technology, Applied Soft Computing 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.