V. Priya
Impact in
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- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Network Security and Intrusion Detection
- Information Systems top 5%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- Advanced Steganography and Watermarking Techniques 2
- Chaos-based Image/Signal Encryption 2
- Digital Media Forensic Detection 2
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- C. Sathiya Kumar (1 shared paper)Ramani Kannan (1 shared paper)Suresh Muthusamy (3 shared papers)Hitesh Panchal (3 shared papers)R. Meenakumari (2 shared papers)C. Nelson Kennedy Babu (1 shared paper)Mohammad Israr (2 shared papers)I. Sumaiya Thaseen (3 shared papers)
In The Last Decade
V. Priya
15 papers receiving 279 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 126
- Information Systems 123
- Energy Engineering and Power Technology 14
- Signal Processing 22
- Artificial Intelligence 63
Countries citing papers authored by V. Priya
This map shows the geographic impact of V. Priya'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 V. Priya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Priya more than expected).
Fields of papers citing papers by V. Priya
This network shows the impact of papers produced by V. Priya. 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 V. Priya. The network helps show where V. Priya may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Priya, 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 | 2018 | 107 | |
| 2 | 2020 | 46 | |
| 3 | 2020 | 25 | |
| 4 | 2022 | 23 | |
| 5 | 2023 | 22 | |
| 6 | 2020 | 20 | |
| 7 | 2016 | 18 | |
| 8 | 2020 | 15 | |
| 9 | 2014 | 8 | |
| 10 | 2023 | 6 | |
| 11 | Reversible Information Hiding in Videos | 2014 | 3 |
| 12 | 2020 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2023 | 0 |
About V. Priya
V. Priya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Information Systems, having authored 16 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (3 papers), Network Security and Intrusion Detection (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), Chaos-based Image/Signal Encryption (2 papers), IoT and Edge/Fog Computing (2 papers), Cloud Computing and Resource Management (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Computer Networks and Communications (126 citations), Information Systems (123 citations), Energy Engineering and Power Technology (14 citations), Signal Processing (22 citations) and Artificial Intelligence (63 citations). V. Priya has collaborated with scholars based in India, Qatar and Egypt. Frequent co-authors include C. Sathiya Kumar, Ramani Kannan, Suresh Muthusamy, Hitesh Panchal, R. Meenakumari, C. Nelson Kennedy Babu, Mohammad Israr, I. Sumaiya Thaseen, Kishor Kumar Sadasivuni and Muhammad Rukunuddin Ghalib. Their work appears in journals such as International Journal of Ambient Energy, Journal of Intelligent & Fuzzy Systems, Applied Soft Computing, Computer Standards & Interfaces and Cybernetics and Information Technologies.
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.