R. Dhaya
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- Mobile Ad Hoc Networks 6
- Energy Efficient Wireless Sensor Networks 6
- IoT and Edge/Fog Computing 5
- Opportunistic and Delay-Tolerant Networks 4
- Caching and Content Delivery 3
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- Video Surveillance and Tracking Methods 5
- Information Systems top 10%
- Cloud Computing and Resource Management 3
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- Flood Risk Assessment and Management 4
- Co-authors
- R. KanthavelM. PoongodiPrabhdeep SinghTripti SharmaVikas TripathiTariq Ahamed AhangerRaghvendra KumarHarold Robinson
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- ACM Transactions on Sensor Networks (1 paper)Automated Software Engineering (1 paper)Computational Intelligence and Neuroscience (1 paper)
- Partner nations
- Saudi ArabiaIndiaGhana
In The Last Decade
R. Dhaya
35 papers receiving 326 citations
Peers
Comparison fields: 5 of 80
- Computer Networks and Communications 111
- Computer Vision and Pattern Recognition 88
- Health Informatics 4
- Information Systems 60
- Analytical Chemistry 24
Countries citing papers authored by R. Dhaya
This map shows the geographic impact of R. Dhaya'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. Dhaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Dhaya more than expected).
Fields of papers citing papers by R. Dhaya
This network shows the impact of papers produced by R. Dhaya. 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. Dhaya. The network helps show where R. Dhaya may publish in the future.
Co-authorship network
The 19 scholars most cited alongside R. Dhaya, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 44 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 6 | |
| 11 | Insight Of Iot-Based Sensors For Flood Monitoring Techniques | 2021 | 1 |
| 12 | 2021 | 10 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 6 | |
| 16 | 2020 | 1 | |
| 17 | 2016 | 2 | |
| 18 | Mobile Virus Prevention Techniques: A SurveyPerspective | 2014 | 3 |
| 19 | 2014 | 17 | |
| 20 | 2012 | 0 |
About R. Dhaya
R. Dhaya is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Media Technology, having authored 38 papers that have together received 363 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (6 papers), Energy Efficient Wireless Sensor Networks (6 papers), IoT and Edge/Fog Computing (5 papers), Video Surveillance and Tracking Methods (5 papers), Flood Risk Assessment and Management (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Cloud Computing and Resource Management (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Networks and Communications (111 citations), Computer Vision and Pattern Recognition (88 citations) and Health Informatics (4 citations). R. Dhaya has collaborated with scholars based in Saudi Arabia, India and Ghana. Frequent co-authors include R. Kanthavel, M. Poongodi, Prabhdeep Singh, Tripti Sharma, Vikas Tripathi, Tariq Ahamed Ahanger, Raghvendra Kumar, Harold Robinson, Pham Huy Thong and Lê Hoàng Sơn. Their work appears in journals such as ACM Transactions on Sensor Networks, Automated Software Engineering, Computational Intelligence and Neuroscience, Soft Computing and International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.
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.