S. Yuvaraj
Impact in
- Information Systems top 10%
- Blockchain Technology Applications and Security
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- IoT and Edge/Fog Computing
Papers in
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- Video Surveillance and Tracking Methods 3
- Human Pose and Action Recognition 3
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- IoT-based Smart Home Systems 6
- Co-authors
- K. Vengatesan (6 shared papers)C. Srinivasan (2 shared papers)M. Rajesh (2 shared papers)Abhishek Kumar (4 shared papers)V. Vijayabaskar (1 shared paper)Natarajan Prabaharan (1 shared paper)Jens Bo Holm‐Nielsen (1 shared paper)R. Sitharthan (1 shared paper)
In The Last Decade
S. Yuvaraj
34 papers receiving 340 citations
Peers
Comparison fields: 5 of 85
- Information Systems 60
- Computer Networks and Communications 57
- Management Information Systems 19
- Industrial and Manufacturing Engineering 19
- Computer Vision and Pattern Recognition 34
Countries citing papers authored by S. Yuvaraj
This map shows the geographic impact of S. Yuvaraj'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. Yuvaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Yuvaraj more than expected).
Fields of papers citing papers by S. Yuvaraj
This network shows the impact of papers produced by S. Yuvaraj. 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. Yuvaraj. The network helps show where S. Yuvaraj may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Yuvaraj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 59 | |
| 2 | 2023 | 43 | |
| 3 | 2023 | 40 | |
| 4 | 2023 | 35 | |
| 5 | 2016 | 33 | |
| 6 | 2024 | 21 | |
| 7 | 2017 | 15 | |
| 8 | 2024 | 13 | |
| 9 | 2018 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2024 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2024 | 3 |
About S. Yuvaraj
S. Yuvaraj is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Mechanical Engineering, having authored 46 papers that have together received 365 indexed citations. Recurring topics across this work include IoT and GPS-based Vehicle Safety Systems (8 papers), IoT-based Smart Home Systems (6 papers), Anomaly Detection Techniques and Applications (4 papers), Vehicle License Plate Recognition (3 papers), Stock Market Forecasting Methods (3 papers), IoT and Edge/Fog Computing (3 papers), Video Surveillance and Tracking Methods (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Information Systems (60 citations), Computer Networks and Communications (57 citations), Management Information Systems (19 citations), Industrial and Manufacturing Engineering (19 citations) and Computer Vision and Pattern Recognition (34 citations). S. Yuvaraj has collaborated with scholars based in India, Australia and Denmark. Frequent co-authors include K. Vengatesan, C. Srinivasan, M. Rajesh, Abhishek Kumar, V. Vijayabaskar, Natarajan Prabaharan, Jens Bo Holm‐Nielsen, R. Sitharthan, G. Saravanan and S. Vimal. Their work appears in journals such as Neural Computing and Applications, IET Renewable Power Generation, Journal of Ambient Intelligence and Humanized Computing, Pattern Recognition Letters and Analog Integrated Circuits and Signal Processing.
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.