R. Prabha
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- IoT and Edge/Fog Computing 7
- Energy Efficient Wireless Sensor Networks 7
- Mobile Ad Hoc Networks 5
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- IoT-based Smart Home Systems 7
- Co-authors
- Senthil G. A (32 shared papers)N. Ramaraj (1 shared paper)S. Sridevi (11 shared papers)K Ananthajothi (1 shared paper)R. Muruganantham (1 shared paper)Vrince Vimal (1 shared paper)D. Vijendra Babu (4 shared papers)Paul Manuel (1 shared paper)
In The Last Decade
R. Prabha
50 papers receiving 339 citations
Peers
Comparison fields: 5 of 96
- Health Information Management 25
- Medical Laboratory Technology 7
- Computer Networks and Communications 102
- Computer Vision and Pattern Recognition 83
- Human-Computer Interaction 19
Countries citing papers authored by R. Prabha
This map shows the geographic impact of R. Prabha'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. Prabha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Prabha more than expected).
Fields of papers citing papers by R. Prabha
This network shows the impact of papers produced by R. Prabha. 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. Prabha. The network helps show where R. Prabha may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Prabha, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 54 | |
| 2 | 2022 | 41 | |
| 3 | 2015 | 29 | |
| 4 | 2022 | 22 | |
| 5 | IoT based Smart Healthcare Monitoring Systems: A Literature Review | 2021 | 22 |
| 6 | 2021 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 8 |
About R. Prabha
R. Prabha is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 61 papers that have together received 439 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (7 papers), IoT-based Smart Home Systems (7 papers), Mobile Ad Hoc Networks (5 papers), Antenna Design and Analysis (4 papers), Artificial Intelligence in Healthcare (4 papers), Smart Agriculture and AI (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Information Management (25 citations), Medical Laboratory Technology (7 citations), Computer Networks and Communications (102 citations), Computer Vision and Pattern Recognition (83 citations) and Human-Computer Interaction (19 citations). R. Prabha has collaborated with scholars based in India, Slovenia and Kuwait. Frequent co-authors include Senthil G. A, N. Ramaraj, S. Sridevi, K Ananthajothi, R. Muruganantham, Vrince Vimal, D. Vijendra Babu, Paul Manuel, Sandi Klavžar and C. Karthikeyan. Their work appears in journals such as Network Computation in Neural Systems, IEEE Access, EURASIP Journal on Wireless Communications and Networking, Journal of Ambient Intelligence and Humanized Computing and Optical and Quantum Electronics.
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.