V. Rajinikanth
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Neurology 45
- Brain Tumor Detection and Classification 43
-
- COVID-19 diagnosis using AI 33
- Radiomics and Machine Learning in Medical Imaging 28
- Retinal Imaging and Analysis 20
- Co-authors
- Suresh Chandra SatapathyN. Sri Madhava RajaNilanjan DeySeifedine KadrySteven Lawrence FernandesK. LathaAmira S. AshourYudong Zhang
- Journals
- Journal of Ambient Intelligence and Humanized Computing (4 papers)Pattern Recognition Letters (4 papers)Journal of Applied Biomedicine (3 papers)Evolutionary Intelligence (3 papers)Computers, materials & continua/Computers, materials & continua (Print) (3 papers)
- Partner nations
- IndiaUnited StatesLebanon
In The Last Decade
V. Rajinikanth
168 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Neurology 985
- Radiology, Nuclear Medicine and Imaging 1.6k
- Computer Vision and Pattern Recognition 1.4k
- Health Informatics 89
- Artificial Intelligence 1.5k
Countries citing papers authored by V. Rajinikanth
This map shows the geographic impact of V. Rajinikanth'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 V. Rajinikanth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Rajinikanth more than expected).
Fields of papers citing papers by V. Rajinikanth
This network shows the impact of papers produced by V. Rajinikanth. 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 V. Rajinikanth. The network helps show where V. Rajinikanth may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Rajinikanth, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 24 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 12 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 19 | |
| 16 | 2021 | 44 | |
| 17 | 2021 | 7 | |
| 18 | Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices Hit paper breakdown → | 2020 | 257 |
| 19 | 2020 | 76 | |
| 20 | 2015 | 8 |
About V. Rajinikanth
V. Rajinikanth is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 190 papers that have together received 4.4k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (43 papers), COVID-19 diagnosis using AI (33 papers), Medical Image Segmentation Techniques (31 papers), AI in cancer detection (31 papers), Radiomics and Machine Learning in Medical Imaging (28 papers), Digital Imaging for Blood Diseases (20 papers), Retinal Imaging and Analysis (20 papers) and Advanced Neural Network Applications (17 papers). The work is most often cited by research in Neurology (985 citations), Radiology, Nuclear Medicine and Imaging (1.6k citations), Computer Vision and Pattern Recognition (1.4k citations), Health Informatics (89 citations) and Artificial Intelligence (1.5k citations). V. Rajinikanth has collaborated with scholars based in India, United States and Lebanon. Frequent co-authors include Suresh Chandra Satapathy, N. Sri Madhava Raja, Nilanjan Dey, Seifedine Kadry, Steven Lawrence Fernandes, K. Latha, Amira S. Ashour, Yudong Zhang, Robertas Damaševičius and U. Rajendra Acharya. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Pattern Recognition Letters, Journal of Applied Biomedicine, Evolutionary Intelligence and Computers, materials & continua/Computers, materials & continua (Print).
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.