M. Vanitha
Impact in
-
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Information Systems top 10%
- Cloud Computing and Resource Management
Papers in ⓘ
-
- Network Security and Intrusion Detection 5
- Co-authors
- M. Daniel (2 shared papers)R. Sakthivel (10 shared papers)I. Sumaiya Thaseen (5 shared papers)S. Ramesh (1 shared paper)Mangayarkarasi Ramaiah (5 shared papers)C. R. Kavitha (1 shared paper)Sang-Soo Yeo (1 shared paper)Rajendiran Mangaiyarkarasi (2 shared papers)
- Journals
- Indian Journal of Science and Technology (2 papers)Biomedical Signal Processing and Control (2 papers)Electronics (1 paper)Soft Computing (1 paper)Applied Sciences (1 paper)
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
M. Vanitha
45 papers receiving 233 citations
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 87
- Information Systems 52
- Hardware and Architecture 12
- Artificial Intelligence 54
- Signal Processing 18
Countries citing papers authored by M. Vanitha
This map shows the geographic impact of M. Vanitha'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 M. Vanitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Vanitha more than expected).
Fields of papers citing papers by M. Vanitha
This network shows the impact of papers produced by M. Vanitha. 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 M. Vanitha. The network helps show where M. Vanitha may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Vanitha, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 36 | |
| 2 | 2023 | 23 | |
| 3 | 2011 | 22 | |
| 4 | 2020 | 18 | |
| 5 | 2016 | 17 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 12 | |
| 8 | 2012 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2010 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2009 | 7 | |
| 13 | 2012 | 7 | |
| 14 | 2013 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2011 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2016 | 3 | |
| 20 | 2013 | 3 |
About M. Vanitha
M. Vanitha is a scholar working on Computer Networks and Communications, Signal Processing, Health Information Management, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 58 papers that have together received 258 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (6 papers), Network Security and Intrusion Detection (5 papers), Cryptography and Data Security (4 papers), Low-power high-performance VLSI design (4 papers), Cloud Data Security Solutions (4 papers), COVID-19 diagnosis using AI (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Computer Networks and Communications (87 citations), Information Systems (52 citations), Hardware and Architecture (12 citations), Artificial Intelligence (54 citations) and Signal Processing (18 citations). M. Vanitha has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include M. Daniel, R. Sakthivel, I. Sumaiya Thaseen, S. Ramesh, Mangayarkarasi Ramaiah, C. R. Kavitha, Sang-Soo Yeo, Rajendiran Mangaiyarkarasi, Pushpita Chatterjee and Ian Ian. Their work appears in journals such as Indian Journal of Science and Technology, Biomedical Signal Processing and Control, Electronics, Soft Computing and Applied Sciences.
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.