J. Avanija
Impact in
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- Brain Tumor Detection and Classification
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
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- AI in cancer detection 6
- Machine Learning in Healthcare 3
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- Advanced Neural Network Applications 4
- Co-authors
- C. Karthikeyan (1 shared paper)S. Neelakandan (1 shared paper)K. Reddy Madhavi (11 shared papers)Gurram Sunitha (9 shared papers)Rajesh Arunachalam (1 shared paper)Ganesh Babu Loganathan (1 shared paper)Kasthuri Kannan (1 shared paper)K. Ramar (2 shared papers)
In The Last Decade
J. Avanija
19 papers receiving 212 citations
Peers
Comparison fields: 5 of 73
- Neurology 37
- Artificial Intelligence 111
- Radiology, Nuclear Medicine and Imaging 70
- Health Information Management 13
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by J. Avanija
This map shows the geographic impact of J. Avanija'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 J. Avanija with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Avanija more than expected).
Fields of papers citing papers by J. Avanija
This network shows the impact of papers produced by J. Avanija. 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 J. Avanija. The network helps show where J. Avanija may publish in the future.
Co-authors
The 18 scholars most cited alongside J. Avanija, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2021 | 36 | |
| 3 | 2021 | 23 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 6 | |
| 8 | 2025 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2015 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2023 | 1 | |
| 18 | Automatic Detection of Diabetic Retinopathy in Retinal Images: A Study of Recent Advances | 2021 | 1 |
| 19 | 2019 | 1 | |
| 20 | 2024 | 1 |
About J. Avanija
J. Avanija is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Neurology and Plant Science, having authored 27 papers that have together received 235 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Brain Tumor Detection and Classification (4 papers), Advanced Neural Network Applications (4 papers), Artificial Intelligence in Healthcare (3 papers), Machine Learning in Healthcare (3 papers), Smart Agriculture and AI (3 papers), Leaf Properties and Growth Measurement (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Neurology (37 citations), Artificial Intelligence (111 citations), Radiology, Nuclear Medicine and Imaging (70 citations), Health Information Management (13 citations) and Computer Vision and Pattern Recognition (55 citations). J. Avanija has collaborated with scholars based in India, Nepal and Ukraine. Frequent co-authors include C. Karthikeyan, S. Neelakandan, K. Reddy Madhavi, Gurram Sunitha, Rajesh Arunachalam, Ganesh Babu Loganathan, Kasthuri Kannan, K. Ramar, Padmavathi Kora and K. Meenakshi. Their work appears in journals such as Scientific Reports, Energy Exploration & Exploitation, Multimedia Tools and Applications, Interdisciplinary Sciences Computational Life Sciences and Concurrency and Computation Practice and Experience.
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.