G. Yamuna
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Media Technology top 10%
- Electrical and Electronic Engineering
- Plant Science
- Co-authors
- G. SaravananS. Aasha NandhiniR. NanmaranM. SundararajanV. MohanavelM. MuhibbullahThanigaivel SundaramAlagar Karthick
- Topics
- Advanced Steganography and Watermarking Techniques (18 papers)Advanced Image Fusion Techniques (7 papers)Vehicle License Plate Recognition (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Polymer JournalMultimedia Tools and Applications
- Partner nations
- IndiaBangladesh
In The Last Decade
G. Yamuna
48 papers receiving 289 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 146
- Artificial Intelligence 43
- Media Technology 40
- Electrical and Electronic Engineering 40
- Plant Science 32
Countries citing papers authored by G. Yamuna
This map shows the geographic impact of G. Yamuna'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 G. Yamuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Yamuna more than expected).
Fields of papers citing papers by G. Yamuna
This network shows the impact of papers produced by G. Yamuna. 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 G. Yamuna. The network helps show where G. Yamuna may publish in the future.
Co-authorship network of co-authors of G. Yamuna
This figure shows the co-authorship network connecting the top 25 collaborators of G. Yamuna. A scholar is included among the top collaborators of G. Yamuna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Yamuna. G. Yamuna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | An Efficient Lossless Video Watermarking Extraction Process With Multiple Watermarks Using Artificial Jellyfish Algorithm | 4 |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | Color image multiple watermarking scheme based on discrete wavelet transform | 0 |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | A Study of DWT-SVD Based Multiple Watermarking Scheme for Medical Images. | 11 |
| 17 | 1 | |
| 18 | Watermarking for images using wavelet domain in Back-Propagation neural network | 3 |
| 19 | Protection of Digital Image Based on Wavelet Transform | 1 |
| 20 | 1 |
About G. Yamuna
G. Yamuna is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Neurology, having authored 54 papers that have together received 307 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (18 papers), Advanced Image Fusion Techniques (7 papers) and Vehicle License Plate Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (146 citations), Media Technology (40 citations) and Neurology (27 citations). G. Yamuna has collaborated with scholars based in India and Bangladesh. Frequent co-authors include G. Saravanan, S. Aasha Nandhini, R. Nanmaran, M. Sundararajan, V. Mohanavel, M. Muhibbullah, Thanigaivel Sundaram, Alagar Karthick, A. S. Vickram and A.K. Priya. Their work appears in journals such as SHILAP Revista de lepidopterología, European Polymer Journal and Multimedia Tools and Applications.
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.