V. Vaithiyanathan
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Information Systems top 10%
- Computer Networks and Communications
- Media Technology top 10%
- Co-authors
- B. KarthikeyanK. RajeswariT. R. NeelakantanG. ManikandanS. MalarvizhiVijay PetleyB. VenkatramanV. Balasubramanian
- Topics
- Chaos-based Image/Signal Encryption (12 papers)Advanced Steganography and Watermarking Techniques (10 papers)Data Mining Algorithms and Applications (8 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
V. Vaithiyanathan
54 papers receiving 286 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 132
- Artificial Intelligence 81
- Information Systems 59
- Computer Networks and Communications 49
- Media Technology 36
Countries citing papers authored by V. Vaithiyanathan
This map shows the geographic impact of V. Vaithiyanathan'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. Vaithiyanathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Vaithiyanathan more than expected).
Fields of papers citing papers by V. Vaithiyanathan
This network shows the impact of papers produced by V. Vaithiyanathan. 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. Vaithiyanathan. The network helps show where V. Vaithiyanathan may publish in the future.
Co-authorship network of co-authors of V. Vaithiyanathan
This figure shows the co-authorship network connecting the top 25 collaborators of V. Vaithiyanathan. A scholar is included among the top collaborators of V. Vaithiyanathan 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 V. Vaithiyanathan. V. Vaithiyanathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 25 | |
| 11 | 10 | |
| 12 | Towards Efficient Load Balancing and Green it Mechanisms in Cloud Environment | 1 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 8 | |
| 17 | Medical Image Fusion and Segmentation Using Coarse-To-Fine Level Set with Brovey Transform Fusion | 2 |
| 18 | 9 | |
| 19 | 33 | |
| 20 | 8 |
About V. Vaithiyanathan
V. Vaithiyanathan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Information Management, having authored 58 papers that have together received 330 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (12 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Data Mining Algorithms and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (132 citations), Health Information Management (26 citations) and Media Technology (36 citations). V. Vaithiyanathan has collaborated with scholars based in India and United States. Frequent co-authors include B. Karthikeyan, K. Rajeswari, T. R. Neelakantan, G. Manikandan, S. Malarvizhi, Vijay Petley, B. Venkatraman, V. Balasubramanian, Markandan Manickavasagam and M. Menaka. Their work appears in journals such as Materials Today Proceedings, Materials Research Express and SN Applied Sciences.
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.