J Aravinth
Impact in
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- Artificial Intelligence in Healthcare
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Remote-Sensing Image Classification 16
- Advanced Image Fusion Techniques 8
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- Face and Expression Recognition 5
- Co-authors
- S. Veni (5 shared papers)R. Anand (4 shared papers)R. Karthika (1 shared paper)S. Sivaranjani (1 shared paper)S. Valarmathy (5 shared papers)Sankaran Rajendran (4 shared papers)B.S. Mathur (1 shared paper)Fadhil Sadooni (1 shared paper)
- Journals
- Remote Sensing (3 papers)The Science of The Total Environment (1 paper)Digital Signal Processing (1 paper)Multimedia Tools and Applications (1 paper)IEEE Access (1 paper)
- Partner nations
- IndiaQatarUnited States
In The Last Decade
J Aravinth
50 papers receiving 503 citations
Peers
Comparison fields: 5 of 89
- Health Information Management 92
- Media Technology 93
- Analytical Chemistry 60
- Computer Vision and Pattern Recognition 104
- Signal Processing 42
Countries citing papers authored by J Aravinth
This map shows the geographic impact of J Aravinth'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 Aravinth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Aravinth more than expected).
Fields of papers citing papers by J Aravinth
This network shows the impact of papers produced by J Aravinth. 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 Aravinth. The network helps show where J Aravinth may publish in the future.
Co-authors
The 19 scholars most cited alongside J Aravinth, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 111 | |
| 2 | 2021 | 88 | |
| 3 | 2021 | 37 | |
| 4 | 2017 | 21 | |
| 5 | 2021 | 20 | |
| 6 | 2015 | 18 | |
| 7 | 2020 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2017 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2012 | 8 | |
| 20 | 2018 | 7 |
About J Aravinth
J Aravinth is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Cognitive Neuroscience, having authored 55 papers that have together received 540 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (16 papers), Advanced Image Fusion Techniques (8 papers), Biometric Identification and Security (7 papers), Remote Sensing and Land Use (7 papers), EEG and Brain-Computer Interfaces (7 papers), Emotion and Mood Recognition (6 papers), Face and Expression Recognition (5 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Information Management (92 citations), Media Technology (93 citations), Analytical Chemistry (60 citations), Computer Vision and Pattern Recognition (104 citations) and Signal Processing (42 citations). J Aravinth has collaborated with scholars based in India, Qatar and United States. Frequent co-authors include S. Veni, R. Anand, R. Karthika, S. Sivaranjani, S. Valarmathy, Sankaran Rajendran, B.S. Mathur, Fadhil Sadooni, Jassim A. Al‐Khayat and Hamad Al-Saad Al-Kuwari. Their work appears in journals such as Remote Sensing, The Science of The Total Environment, Digital Signal Processing, Multimedia Tools and Applications and IEEE Access.
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.