M. Kalpana
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- P. BalasubramaniamR. RakkiyappanKurunathan RatnaveluRaveendran ParamesranKokSheik WongKamal KishoreWan Ainun Mior Othman
- Topics
- Neural Networks Stability and Synchronization (11 papers)Cellular Automata and Applications (9 papers)Chaos-based Image/Signal Encryption (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaJournal of the Franklin InstituteSignal Processing
In The Last Decade
M. Kalpana
18 papers receiving 398 citations
Peers
Comparison fields: 5 of 30
- Computer Networks and Communications 287
- Statistical and Nonlinear Physics 164
- Computer Vision and Pattern Recognition 105
- Artificial Intelligence 95
- Computational Theory and Mathematics 92
Countries citing papers authored by M. Kalpana
This map shows the geographic impact of M. Kalpana'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. Kalpana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kalpana more than expected).
Fields of papers citing papers by M. Kalpana
This network shows the impact of papers produced by M. Kalpana. 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. Kalpana. The network helps show where M. Kalpana may publish in the future.
Co-authorship network of co-authors of M. Kalpana
This figure shows the co-authorship network connecting the top 25 collaborators of M. Kalpana. A scholar is included among the top collaborators of M. Kalpana 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 M. Kalpana. M. Kalpana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 34 | |
| 4 | 3 | |
| 5 | 24 | |
| 6 | 0 | |
| 7 | 22 | |
| 8 | 65 | |
| 9 | 26 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 18 | |
| 17 | 30 | |
| 18 | 51 | |
| 19 | 67 |
About M. Kalpana
M. Kalpana is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 19 papers that have together received 413 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (11 papers), Cellular Automata and Applications (9 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (164 citations), Computer Networks and Communications (287 citations) and Computational Theory and Mathematics (92 citations). M. Kalpana has collaborated with scholars based in India and Malaysia. Frequent co-authors include P. Balasubramaniam, R. Rakkiyappan, Kurunathan Ratnavelu, Raveendran Paramesran, KokSheik Wong, Kamal Kishore and Wan Ainun Mior Othman. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Franklin Institute and Signal Processing.
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.