T. Karthikeyan
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- N. YuvarajK. PraghashR. Arshath RajaA. Sampath Dakshina MurthyP. ManimegalaiCh. Usha KumariS. N. OmkarRama Balakrishnan
- Topics
- Image and Signal Denoising Methods (4 papers)Advanced Data Compression Techniques (3 papers)Face and Expression Recognition (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaSoft ComputingWireless Personal Communications
In The Last Decade
T. Karthikeyan
32 papers receiving 271 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 86
- Computer Networks and Communications 84
- Electrical and Electronic Engineering 77
- Information Systems 61
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by T. Karthikeyan
This map shows the geographic impact of T. Karthikeyan'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 T. Karthikeyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Karthikeyan more than expected).
Fields of papers citing papers by T. Karthikeyan
This network shows the impact of papers produced by T. Karthikeyan. 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 T. Karthikeyan. The network helps show where T. Karthikeyan may publish in the future.
Co-authorship network of co-authors of T. Karthikeyan
This figure shows the co-authorship network connecting the top 25 collaborators of T. Karthikeyan. A scholar is included among the top collaborators of T. Karthikeyan 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 T. Karthikeyan. T. Karthikeyan 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 | 22 | |
| 4 | 1 | |
| 5 | 42 | |
| 6 | 13 | |
| 7 | 11 | |
| 8 | A study on discrete wavelet transform compression algorithm for medical images | 4 |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | A Survey of Fuzzy Based ARM Clustering on Crime Pattern Discovery | 4 |
| 16 | 0 | |
| 17 | 2 | |
| 18 | Minimum Spanning Tree-based Clustering Applied to Protein Sequences in Early Cancer Diagnosis | 1 |
| 19 | 1 | |
| 20 | Outlier Removal Clustering through Minimum Spanning Tree | 9 |
About T. Karthikeyan
T. Karthikeyan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 35 papers that have together received 289 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Advanced Data Compression Techniques (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Networks and Communications (84 citations), Media Technology (24 citations) and Information Systems (61 citations). T. Karthikeyan has collaborated with scholars based in India and Oman. Frequent co-authors include N. Yuvaraj, K. Praghash, R. Arshath Raja, A. Sampath Dakshina Murthy, P. Manimegalai, Ch. Usha Kumari, S. N. Omkar, Rama Balakrishnan, Jaya Sundaram and J. Senthilnath. Their work appears in journals such as SHILAP Revista de lepidopterología, Soft Computing and Wireless Personal Communications.
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.