S. Prabu
Impact in
- Media Technology top 10%
- Remote-Sensing Image Classification
-
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
Papers in
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- Advanced Steganography and Watermarking Techniques 6
- Chaos-based Image/Signal Encryption 5
- Advanced Neural Network Applications 4
-
- Energy Efficient Wireless Sensor Networks 5
- Co-authors
- Ramarathnam Venkatesan (4 shared papers)Sudha Ramakrishnan (1 shared paper)Giovanni Pau (1 shared paper)K. Ramkumar (1 shared paper)A. Rajesh (1 shared paper)K. Narasimhan (1 shared paper)C. V. Ravikumar (1 shared paper)Mohamed Abbas (1 shared paper)
- Journals
- Indian Journal of Science and Technology (2 papers)Journal of Medical Systems (1 paper)IEEE Access (1 paper)International Journal of Fuzzy Systems (1 paper)PLoS ONE (1 paper)
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
S. Prabu
43 papers receiving 199 citations
Peers
Comparison fields: 5 of 65
- Media Technology 34
- Computer Vision and Pattern Recognition 75
- Software 9
- Health Informatics 3
- Neurology 15
Countries citing papers authored by S. Prabu
This map shows the geographic impact of S. Prabu'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 S. Prabu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Prabu more than expected).
Fields of papers citing papers by S. Prabu
This network shows the impact of papers produced by S. Prabu. 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 S. Prabu. The network helps show where S. Prabu may publish in the future.
Co-authors
The 22 scholars most cited alongside S. Prabu, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 29 | |
| 2 | 2017 | 25 | |
| 3 | 2009 | 21 | |
| 4 | 2019 | 20 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2015 | 8 | |
| 8 | 2023 | 8 | |
| 9 | 2015 | 8 | |
| 10 | 2022 | 6 | |
| 11 | A survey of state of the art techniques of steganography | 2013 | 6 |
| 12 | 2017 | 5 | |
| 13 | 2017 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2015 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2023 | 2 |
About S. Prabu
S. Prabu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Media Technology and Information Systems, having authored 46 papers that have together received 222 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Advanced Steganography and Watermarking Techniques (6 papers), Remote Sensing and Land Use (5 papers), Energy Efficient Wireless Sensor Networks (5 papers), Chaos-based Image/Signal Encryption (5 papers), Advanced Neural Network Applications (4 papers), Infrared Thermography in Medicine (4 papers) and IoT-based Smart Home Systems (4 papers). The work is most often cited by research in Media Technology (34 citations), Computer Vision and Pattern Recognition (75 citations), Software (9 citations), Health Informatics (3 citations) and Neurology (15 citations). S. Prabu has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Ramarathnam Venkatesan, Sudha Ramakrishnan, Giovanni Pau, K. Ramkumar, A. Rajesh, K. Narasimhan, C. V. Ravikumar, Mohamed Abbas, Pulkit Khandelwal and P. Jayarajan. Their work appears in journals such as Indian Journal of Science and Technology, Journal of Medical Systems, IEEE Access, International Journal of Fuzzy Systems and PLoS ONE.
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.