M. Brindha
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
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- Cellular Automata and Applications
Papers in
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- Chaos-based Image/Signal Encryption 30
- Advanced Steganography and Watermarking Techniques 23
- Video Surveillance and Tracking Methods 4
- Advanced Neural Network Applications 3
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- Cellular Automata and Applications 12
- Co-authors
- R. Vidhya (11 shared papers)N. Ammasai Gounden (3 shared papers)Ruhul Amin (2 shared papers)S. Selvakumar (1 shared paper)C. Sekar (2 shared papers)R. Rathinamoorthy (1 shared paper)G. Sathishkumar (1 shared paper)Seok‐Bum Ko (1 shared paper)
In The Last Decade
M. Brindha
53 papers receiving 549 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 401
- Computational Theory and Mathematics 79
- Artificial Intelligence 152
- Mathematical Physics 39
- Information Systems 92
Countries citing papers authored by M. Brindha
This map shows the geographic impact of M. Brindha'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. Brindha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Brindha more than expected).
Fields of papers citing papers by M. Brindha
This network shows the impact of papers produced by M. Brindha. 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. Brindha. The network helps show where M. Brindha may publish in the future.
Co-authors
The 13 scholars most cited alongside M. Brindha, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 89 | |
| 2 | 2021 | 57 | |
| 3 | 2022 | 48 | |
| 4 | 2016 | 41 | |
| 5 | 2021 | 33 | |
| 6 | 2020 | 26 | |
| 7 | 2021 | 19 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 9 |
About M. Brindha
M. Brindha is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 64 papers that have together received 575 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (30 papers), Advanced Steganography and Watermarking Techniques (23 papers), Cellular Automata and Applications (12 papers), Cryptographic Implementations and Security (6 papers), Cryptography and Data Security (5 papers), Video Surveillance and Tracking Methods (4 papers), Advanced Neural Network Applications (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (401 citations), Computational Theory and Mathematics (79 citations), Artificial Intelligence (152 citations), Mathematical Physics (39 citations) and Information Systems (92 citations). M. Brindha has collaborated with scholars based in India and Canada. Frequent co-authors include R. Vidhya, N. Ammasai Gounden, Ruhul Amin, S. Selvakumar, C. Sekar, R. Rathinamoorthy, G. Sathishkumar, Seok‐Bum Ko, P. Kalyanasundaram and N. Sivakumaran. Their work appears in journals such as Journal of Information Security and Applications, Multimedia Tools and Applications, Applied Intelligence, Measurement and IEEE Transactions on Multimedia.
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.