S. Karthikeyan
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Computer Networks and Communications
- Signal Processing top 10%
- Co-authors
- M. TamilselviG. RamkumarMeena NagarajanAhmed Nabih Zaki RashedN. RadhaLakshmanan NatarajB.S. ManjunathS. Ramesh
- Topics
- IoT-based Smart Home Systems (8 papers)Agricultural Economics and Practices (5 papers)Livestock Management and Performance Improvement (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
In The Last Decade
S. Karthikeyan
64 papers receiving 401 citations
Peers
Comparison fields: 5 of 108
- Electrical and Electronic Engineering 125
- Computer Vision and Pattern Recognition 108
- Biomedical Engineering 78
- Computer Networks and Communications 59
- Signal Processing 48
Countries citing papers authored by S. Karthikeyan
This map shows the geographic impact of S. 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 S. Karthikeyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Karthikeyan more than expected).
Fields of papers citing papers by S. Karthikeyan
This network shows the impact of papers produced by S. 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 S. Karthikeyan. The network helps show where S. Karthikeyan may publish in the future.
Co-authorship network of co-authors of S. Karthikeyan
This figure shows the co-authorship network connecting the top 25 collaborators of S. Karthikeyan. A scholar is included among the top collaborators of S. 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 S. Karthikeyan. S. 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 | 0 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 29 | |
| 13 | Face Recognition based on Spatio Angular Using Visual Geometric Group-19 Convolutional Neural Network | 6 |
| 14 | 11 | |
| 15 | Role of IoT in healthcare using smart textiles | 1 |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | 2 |
About S. Karthikeyan
S. Karthikeyan is a scholar working on Human-Computer Interaction, General Agricultural and Biological Sciences and Computer Networks and Communications, having authored 74 papers that have together received 431 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (8 papers), Agricultural Economics and Practices (5 papers) and Livestock Management and Performance Improvement (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (108 citations), Signal Processing (48 citations) and Computer Networks and Communications (59 citations). S. Karthikeyan has collaborated with scholars based in India, Oman and Ethiopia. Frequent co-authors include M. Tamilselvi, G. Ramkumar, Meena Nagarajan, Ahmed Nabih Zaki Rashed, N. Radha, Lakshmanan Nataraj, B.S. Manjunath, S. Ramesh, Ganpathy Murthy and Jacob Wekalao. Their work appears in journals such as Alexandria Engineering Journal, Journal of Ambient Intelligence and Humanized Computing and Chemical Engineering 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.