A. Kannammal
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Signal Processing top 10%
- Computer Networks and Communications
- Co-authors
- B. PrasanalakshmiN. Ch. S. N. IyengarA. Udaya ShankarN. JeyanthiV. RamachandranRaju S. BapiA. RamalingamSoumith Chintala
- Topics
- Advanced Steganography and Watermarking Techniques (11 papers)User Authentication and Security Systems (7 papers)Mobile Ad Hoc Networks (7 papers)
- Journals
- Computers in Human BehaviorPhysica ScriptaInternational Journal of Imaging Systems and Technology
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
A. Kannammal
41 papers receiving 251 citations
Peers
Comparison fields: 5 of 61
- Information Systems 82
- Computer Vision and Pattern Recognition 82
- Artificial Intelligence 67
- Signal Processing 63
- Computer Networks and Communications 57
Countries citing papers authored by A. Kannammal
This map shows the geographic impact of A. Kannammal'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 A. Kannammal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Kannammal more than expected).
Fields of papers citing papers by A. Kannammal
This network shows the impact of papers produced by A. Kannammal. 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 A. Kannammal. The network helps show where A. Kannammal may publish in the future.
Co-authorship network of co-authors of A. Kannammal
This figure shows the co-authorship network connecting the top 25 collaborators of A. Kannammal. A scholar is included among the top collaborators of A. Kannammal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Kannammal. A. Kannammal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | Secure Authentication Protocol for Efficient Computational Offloading Service in the Mobile Cloud Computing | 1 |
| 6 | THE GOOD, THE BAD AND THE UGLY: OPINION MINING ANALYSIS ON USER TWEETS IN TWITTER | 1 |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | Automated Diagnosis and Severity Measurement of Cysts in Dental X-ray Images Using Neural Network | 6 |
| 19 | 0 | |
| 20 | 1 |
About A. Kannammal
A. Kannammal is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 278 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (11 papers), User Authentication and Security Systems (7 papers) and Mobile Ad Hoc Networks (7 papers). The work is most often cited by research in Information Systems and Management (43 citations), Signal Processing (63 citations) and Computer Vision and Pattern Recognition (82 citations). A. Kannammal has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include B. Prasanalakshmi, N. Ch. S. N. Iyengar, A. Udaya Shankar, N. Jeyanthi, V. Ramachandran, Raju S. Bapi, A. Ramalingam, Soumith Chintala and Joseph Philip. Their work appears in journals such as Computers in Human Behavior, Physica Scripta and International Journal of Imaging Systems and Technology.
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.