R. Jayavadivel
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- IoT and Edge/Fog Computing 4
- Distributed and Parallel Computing Systems 3
- Energy Efficient Wireless Sensor Networks 2
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- Anomaly Detection Techniques and Applications 2
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- Vehicle License Plate Recognition 2
- Remote-Sensing Image Classification 2
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- Cloud Computing and Resource Management 3
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- IoT-based Smart Home Systems 2
- Co-authors
- L. SrinivasanPundru Chandra Shaker ReddyT A MohanaprakashP. Suresh BabuAnil KumarM. RadhikaN. RajkumarNeelam Gupta
In The Last Decade
R. Jayavadivel
13 papers receiving 158 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 28
- Computer Networks and Communications 55
- Artificial Intelligence 47
- Media Technology 11
- Computer Vision and Pattern Recognition 23
Countries citing papers authored by R. Jayavadivel
This map shows the geographic impact of R. Jayavadivel'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 R. Jayavadivel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Jayavadivel more than expected).
Fields of papers citing papers by R. Jayavadivel
This network shows the impact of papers produced by R. Jayavadivel. 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 R. Jayavadivel. The network helps show where R. Jayavadivel may publish in the future.
Co-authorship network
The 12 scholars most cited alongside R. Jayavadivel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 31 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 98 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 1 | |
| 13 | An Analysis Of Smart Car Parking Management System | 2020 | 3 |
| 14 | 2020 | 1 | |
| 15 | Experimental Analysis Of RPL Routing Protocol In IOT | 2019 | 2 |
| 16 | Energy Efficient Object Tracking Using Adaptive Node Deployment And Evolutionary Algorithm Based Node Localization | 2019 | 1 |
| 17 | A robust measure of pairwise distance estimation approach: RD-RANSAC | 2017 | 0 |
About R. Jayavadivel
R. Jayavadivel is a scholar working on Media Technology, Computer Networks and Communications and Signal Processing, having authored 17 papers that have together received 173 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Distributed and Parallel Computing Systems (3 papers), Cloud Computing and Resource Management (3 papers), Vehicle License Plate Recognition (2 papers), IoT-based Smart Home Systems (2 papers), Remote-Sensing Image Classification (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (28 citations), Computer Networks and Communications (55 citations) and Artificial Intelligence (47 citations). R. Jayavadivel has collaborated with scholars based in India and Ethiopia. Frequent co-authors include L. Srinivasan, Pundru Chandra Shaker Reddy, T A Mohanaprakash, P. Suresh Babu, Anil Kumar, M. Radhika, N. Rajkumar, Neelam Gupta, Vijay Kumar and Sumit Badotra. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Wireless Communications and Mobile Computing, Arabian Journal of Geosciences, International Journal of Numerical Modelling Electronic Networks Devices and Fields and International journal of scientific and technology research.
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.