R. Sabitha
Impact in
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- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
- Opportunistic and Delay-Tolerant Networks
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Mobile Ad Hoc Networks 3
- Opportunistic and Delay-Tolerant Networks 3
- Co-authors
- S. Karthik (10 shared papers)Muthu Subash Kavitha (2 shared papers)Nandini Krishnamoorthy (1 shared paper)P. Rajkumar (1 shared paper)V. Saravanan (1 shared paper)B. Yamini (4 shared papers)Subramanian Boopathi (1 shared paper)Mathan Ganeshan (1 shared paper)
- Journals
- Wireless Personal Communications (4 papers)Indian Journal of Science and Technology (3 papers)Pattern Recognition Letters (2 papers)Journal of Medical Systems (1 paper)Frontiers in Big Data (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
R. Sabitha
43 papers receiving 219 citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 79
- Health Information Management 15
- Health Informatics 4
- Computer Science Applications 12
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by R. Sabitha
This map shows the geographic impact of R. Sabitha'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. Sabitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Sabitha more than expected).
Fields of papers citing papers by R. Sabitha
This network shows the impact of papers produced by R. Sabitha. 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. Sabitha. The network helps show where R. Sabitha may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Sabitha, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 29 | |
| 2 | 2020 | 27 | |
| 3 | 2019 | 25 | |
| 4 | 2021 | 18 | |
| 5 | 2024 | 17 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 9 | |
| 8 | 2016 | 7 | |
| 9 | 2015 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2013 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2013 | 3 |
About R. Sabitha
R. Sabitha is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Information Systems, having authored 55 papers that have together received 241 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (7 papers), Advanced Wireless Network Optimization (5 papers), IoT-based Smart Home Systems (5 papers), Artificial Intelligence in Healthcare (4 papers), Digital Media Forensic Detection (4 papers), Mobile Ad Hoc Networks (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Advanced MIMO Systems Optimization (3 papers). The work is most often cited by research in Computer Networks and Communications (79 citations), Health Information Management (15 citations), Health Informatics (4 citations), Computer Science Applications (12 citations) and Computer Vision and Pattern Recognition (42 citations). R. Sabitha has collaborated with scholars based in India, United States and China. Frequent co-authors include S. Karthik, Muthu Subash Kavitha, Nandini Krishnamoorthy, P. Rajkumar, V. Saravanan, B. Yamini, Subramanian Boopathi, Mathan Ganeshan, P. Murugan and P. Nirmala. Their work appears in journals such as Wireless Personal Communications, Indian Journal of Science and Technology, Pattern Recognition Letters, Journal of Medical Systems and Frontiers in Big Data.
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.