V. Seenivasagam
Impact in
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- Artificial Intelligence in Healthcare
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
Papers in
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- Advanced Steganography and Watermarking Techniques 5
- Chaos-based Image/Signal Encryption 4
- Image Retrieval and Classification Techniques 4
- Medical Image Segmentation Techniques 3
- Advanced Data Compression Techniques 3
- Digital Media Forensic Detection 2
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- Image Processing Techniques and Applications 3
- Remote-Sensing Image Classification 3
- Co-authors
- S. Rajeswari (2 shared papers)
In The Last Decade
V. Seenivasagam
16 papers receiving 212 citations
Peers
Comparison fields: 5 of 51
- Health Information Management 54
- Computer Vision and Pattern Recognition 127
- Media Technology 32
- Medical Laboratory Technology 3
- Artificial Intelligence 55
Countries citing papers authored by V. Seenivasagam
This map shows the geographic impact of V. Seenivasagam'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. Seenivasagam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Seenivasagam more than expected).
Fields of papers citing papers by V. Seenivasagam
This network shows the impact of papers produced by V. Seenivasagam. 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. Seenivasagam. The network helps show where V. Seenivasagam may publish in the future.
Co-authors
The 1 scholars most cited alongside V. Seenivasagam, 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 | 2013 | 60 | |
| 2 | 2013 | 57 | |
| 3 | 2016 | 21 | |
| 4 | 2015 | 17 | |
| 5 | 2016 | 16 | |
| 6 | 2010 | 15 | |
| 7 | 2011 | 11 | |
| 8 | 2012 | 11 | |
| 9 | 2015 | 7 | |
| 10 | 2015 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2012 | 4 | |
| 14 | A Survey of Image Segmentation Methods using Conventional and Soft Computing Techniques for Color Images | 2012 | 2 |
| 15 | 2011 | 2 | |
| 16 | 2011 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2011 | 0 |
About V. Seenivasagam
V. Seenivasagam is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 18 papers that have together received 240 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (5 papers), Chaos-based Image/Signal Encryption (4 papers), Image Retrieval and Classification Techniques (4 papers), Medical Image Segmentation Techniques (3 papers), Image Processing Techniques and Applications (3 papers), Remote-Sensing Image Classification (3 papers), Advanced Data Compression Techniques (3 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Health Information Management (54 citations), Computer Vision and Pattern Recognition (127 citations), Media Technology (32 citations), Medical Laboratory Technology (3 citations) and Artificial Intelligence (55 citations). V. Seenivasagam has collaborated with scholars based in India, Mexico and Germany. Frequent co-authors include S. Rajeswari. Their work appears in journals such as Wireless Personal Communications, Indian Journal of Science and Technology, International Journal of Automation and Computing, Computational and Mathematical Methods in Medicine and Intelligent Automation & Soft Computing.
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.