Aswathy Ravikumar
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 4
- Anomaly Detection Techniques and Applications 2
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- Advanced Neural Network Applications 6
- Co-authors
- Jisha John (3 shared papers)Vijay Kumar Chattu (2 shared papers)S. Lokesh (1 shared paper)Bejoy Abraham (1 shared paper)S. S. Vinod Chandra (2 shared papers)S. Kannan (1 shared paper)Tzung‐Pei Hong (1 shared paper)R. Devi (1 shared paper)
- Journals
- PeerJ Computer Science (3 papers)IEEE Access (2 papers)Computers, materials & continua/Computers, materials & continua (Print) (1 paper)Journal of Multidisciplinary Healthcare (1 paper)Heliyon (1 paper)
- Partner nations
- IndiaUnited StatesTaiwan
In The Last Decade
Aswathy Ravikumar
26 papers receiving 209 citations
Peers
Comparison fields: 5 of 76
- Health Information Management 48
- Health Informatics 6
- Computational Mathematics 2
- Artificial Intelligence 84
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Aswathy Ravikumar
This map shows the geographic impact of Aswathy Ravikumar'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 Aswathy Ravikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aswathy Ravikumar more than expected).
Fields of papers citing papers by Aswathy Ravikumar
This network shows the impact of papers produced by Aswathy Ravikumar. 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 Aswathy Ravikumar. The network helps show where Aswathy Ravikumar may publish in the future.
Co-authors
The 11 scholars most cited alongside Aswathy Ravikumar, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 44 | |
| 2 | 2023 | 36 | |
| 3 | 2022 | 23 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 13 | |
| 6 | 2015 | 12 | |
| 7 | 2023 | 9 | |
| 8 | 2013 | 8 | |
| 9 | 2015 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2013 | 5 | |
| 14 | 2023 | 4 | |
| 15 | Big Data: An Ultimate Solution in Health Care | 2014 | 4 |
| 16 | 2020 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2024 | 2 |
About Aswathy Ravikumar
Aswathy Ravikumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Information Management, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 33 papers that have together received 220 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Artificial Intelligence in Healthcare (6 papers), AI in cancer detection (4 papers), Brain Tumor Detection and Classification (4 papers), COVID-19 diagnosis using AI (4 papers), Retinal Imaging and Analysis (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Health Information Management (48 citations), Health Informatics (6 citations), Computational Mathematics (2 citations), Artificial Intelligence (84 citations) and Computer Vision and Pattern Recognition (40 citations). Aswathy Ravikumar has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Jisha John, Vijay Kumar Chattu, S. Lokesh, Bejoy Abraham, S. S. Vinod Chandra, S. Kannan, Tzung‐Pei Hong, R. Devi, S. Ramathilagam and Rajesh Kumar. Their work appears in journals such as PeerJ Computer Science, IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Journal of Multidisciplinary Healthcare and Heliyon.
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.