K. Balasamy
- Health Informatics top 5%
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- Advanced Steganography and Watermarking Techniques 8
- Chaos-based Image/Signal Encryption 7
- Digital Media Forensic Detection 6
- Neurology top 10%
- Brain Tumor Detection and Classification 4
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- COVID-19 diagnosis using AI 3
- Retinal Imaging and Analysis 2
- Health Information Management top 10%
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- AI in cancer detection 4
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- EEG and Brain-Computer Interfaces 2
In The Last Decade
K. Balasamy
17 papers receiving 584 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Health Informatics 24
- Computer Vision and Pattern Recognition 265
- Neurology 97
- Radiology, Nuclear Medicine and Imaging 177
- Health Information Management 25
Countries citing papers authored by K. Balasamy
This map shows the geographic impact of K. Balasamy'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 K. Balasamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Balasamy more than expected).
Fields of papers citing papers by K. Balasamy
This network shows the impact of papers produced by K. Balasamy. 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 K. Balasamy. The network helps show where K. Balasamy may publish in the future.
Co-authorship network
The 5 scholars most cited alongside K. Balasamy, 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 | 2024 | 8 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 25 | |
| 12 | A review on deep learning in medical image analysisbreakdown → | 2021 | 340 |
| 13 | 2021 | 16 | |
| 14 | 2021 | 37 | |
| 15 | 2020 | 72 | |
| 16 | 2018 | 41 | |
| 17 | 2011 | 1 | |
| 18 | 2011 | 10 | |
| 19 | 2011 | 6 |
About K. Balasamy
K. Balasamy is a scholar working on Neurology, Computer Vision and Pattern Recognition and Media Technology, having authored 19 papers that have together received 610 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (8 papers), Chaos-based Image/Signal Encryption (7 papers), Digital Media Forensic Detection (6 papers), Brain Tumor Detection and Classification (4 papers), AI in cancer detection (4 papers), COVID-19 diagnosis using AI (3 papers), Retinal Imaging and Analysis (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Health Informatics (24 citations), Computer Vision and Pattern Recognition (265 citations) and Neurology (97 citations). K. Balasamy has collaborated with scholars based in India, Thailand and Canada. Frequent co-authors include S. Suganyadevi, V. Seethalakshmi, S. Ramakrishnan, N. Krishnaraj and P. Balasubramanie.
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.