M. Kalpana

467 total citations
19 papers, 413 citations indexed

About

M. Kalpana is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Kalpana has authored 19 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Kalpana's work include Neural Networks Stability and Synchronization (11 papers), Cellular Automata and Applications (9 papers) and Chaos-based Image/Signal Encryption (5 papers). M. Kalpana is often cited by papers focused on Neural Networks Stability and Synchronization (11 papers), Cellular Automata and Applications (9 papers) and Chaos-based Image/Signal Encryption (5 papers). M. Kalpana collaborates with scholars based in India and Malaysia. M. Kalpana's co-authors include P. Balasubramaniam, R. Rakkiyappan, Kurunathan Ratnavelu, KokSheik Wong, Raveendran Paramesran, Kamal Kishore and Wan Ainun Mior Othman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Franklin Institute and Signal Processing.

In The Last Decade

M. Kalpana

18 papers receiving 398 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Kalpana India 12 287 164 105 95 92 19 413
Hao Yin China 8 151 0.5× 133 0.8× 138 1.3× 111 1.2× 45 0.5× 21 417
C. Posadas–Castillo Mexico 13 252 0.9× 287 1.8× 92 0.9× 49 0.5× 43 0.5× 38 407
P. Muthukumar India 12 240 0.8× 393 2.4× 178 1.7× 68 0.7× 43 0.5× 18 540
Vijay K. Yadav India 15 346 1.2× 358 2.2× 70 0.7× 84 0.9× 17 0.2× 41 468
Cuimei Jiang China 13 152 0.5× 187 1.1× 52 0.5× 44 0.5× 24 0.3× 37 418
Rongwei Guo China 13 358 1.2× 417 2.5× 68 0.6× 46 0.5× 18 0.2× 36 537
Zengyun Wang China 13 325 1.1× 158 1.0× 13 0.1× 102 1.1× 42 0.5× 29 443
С. О. Старков Russia 10 160 0.6× 194 1.2× 66 0.6× 39 0.4× 27 0.3× 27 292
Hongyan Zang China 10 85 0.3× 146 0.9× 133 1.3× 49 0.5× 53 0.6× 30 274
Runzi Luo China 14 603 2.1× 672 4.1× 73 0.7× 60 0.6× 15 0.2× 59 789

Countries citing papers authored by M. Kalpana

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

19 of 19 papers shown
1.
Kalpana, M., et al.. (2023). Hexagonal Hybrid DRA Circularly Polarized Antenna for Multiband Applications. 8. 1–5. 1 indexed citations
2.
Kalpana, M., et al.. (2022). Circular Patch Antenna with Rectangular Slots and DGS for UWB and Multiband Applications. 157–160. 3 indexed citations
3.
Kalpana, M., et al.. (2021). A novel audio encryption approach via finite-time synchronization of fractional order hyperchaotic system. Multimedia Tools and Applications. 80(12). 18043–18067. 34 indexed citations
4.
Kalpana, M., Kurunathan Ratnavelu, P. Balasubramaniam, & Wan Ainun Mior Othman. (2019). Double-Key Secure for N-1-N Sound Record Data (SRD) by the Drive-Response of BAM NNs. Neural Processing Letters. 50(3). 2925–2944. 3 indexed citations
5.
Kalpana, M., Kurunathan Ratnavelu, & P. Balasubramaniam. (2018). An audio encryption based on synchronization of robust BAM FCNNs with time delays. Multimedia Tools and Applications. 78(5). 5969–5988. 24 indexed citations
6.
Kalpana, M., et al.. (2018). On b-coloring of central graph of some graphs. Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics. 68(1). 1229–1239.
7.
Kalpana, M., et al.. (2018). Synchronization of chaotic-type delayed neural networks and its application. Nonlinear Dynamics. 93(2). 543–555. 22 indexed citations
8.
Ratnavelu, Kurunathan, M. Kalpana, P. Balasubramaniam, KokSheik Wong, & Raveendran Paramesran. (2017). Image encryption method based on chaotic fuzzy cellular neural networks. Signal Processing. 140. 87–96. 65 indexed citations
9.
Ratnavelu, Kurunathan, M. Kalpana, & P. Balasubramaniam. (2016). Asymptotic stability of Markovian switching genetic regulatory networks with leakage and mode-dependent time delays. Journal of the Franklin Institute. 353(7). 1615–1638. 26 indexed citations
10.
Ratnavelu, Kurunathan, M. Kalpana, & P. Balasubramaniam. (2016). Stability Analysis of Fuzzy Genetic Regulatory Networks with Various Time Delays. Bulletin of the Malaysian Mathematical Sciences Society. 41(1). 491–505. 17 indexed citations
11.
12.
Kalpana, M., P. Balasubramaniam, & Kurunathan Ratnavelu. (2015). Direct delay decomposition approach to synchronization of chaotic fuzzy cellular neural networks with discrete, unbounded distributed delays and Markovian jumping parameters. Applied Mathematics and Computation. 254. 291–304. 21 indexed citations
13.
Kalpana, M. & P. Balasubramaniam. (2015). Asymptotical state estimation of fuzzy cellular neural networks with time delay in the leakage term and mixed delays: Sample-data approach. SHILAP Revista de lepidopterología. 24(1). 143–150. 7 indexed citations
14.
15.
Balasubramaniam, P., M. Kalpana, & R. Rakkiyappan. (2012). Linear matrix inequality approach for synchronization control of fuzzy cellular neural networks with mixed time delays. Chinese Physics B. 21(4). 48402–48402. 18 indexed citations
16.
Balasubramaniam, P., M. Kalpana, & R. Rakkiyappan. (2012). Stationary oscillation of interval fuzzy cellular neural networks with mixed delays under impulsive perturbations. Neural Computing and Applications. 22(7-8). 1645–1654. 11 indexed citations
17.
Balasubramaniam, P., M. Kalpana, & R. Rakkiyappan. (2011). Existence and Global Asymptotic Stability of Fuzzy Cellular Neural Networks with Time Delay in the Leakage Term and Unbounded Distributed Delays. Circuits Systems and Signal Processing. 30(6). 1595–1616. 51 indexed citations
18.
Balasubramaniam, P., M. Kalpana, & R. Rakkiyappan. (2011). State estimation for fuzzy cellular neural networks with time delay in the leakage term, discrete and unbounded distributed delays. Computers & Mathematics with Applications. 62(10). 3959–3972. 30 indexed citations
19.
Balasubramaniam, P., M. Kalpana, & R. Rakkiyappan. (2010). Global asymptotic stability of BAM fuzzy cellular neural networks with time delay in the leakage term, discrete and unbounded distributed delays. Mathematical and Computer Modelling. 53(5-6). 839–853. 67 indexed citations

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.

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