T. Radhika
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- A. ChandrasekarQuanxin ZhuG. NagamaniV. VijayakumarYang CaoMuhammad Shamrooz AslamR. RakkiyappanP. Balasubramaniam
- Topics
- Neural Networks Stability and Synchronization (22 papers)Advanced Memory and Neural Computing (7 papers)Stability and Control of Uncertain Systems (7 papers)
In The Last Decade
T. Radhika
19 papers receiving 550 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 204
- Computer Networks and Communications 203
- Control and Systems Engineering 141
- Computer Vision and Pattern Recognition 110
- Electrical and Electronic Engineering 106
Countries citing papers authored by T. Radhika
This map shows the geographic impact of T. Radhika'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 T. Radhika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Radhika more than expected).
Fields of papers citing papers by T. Radhika
This network shows the impact of papers produced by T. Radhika. 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 T. Radhika. The network helps show where T. Radhika may publish in the future.
Co-authorship network of co-authors of T. Radhika
This figure shows the co-authorship network connecting the top 25 collaborators of T. Radhika. A scholar is included among the top collaborators of T. Radhika 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 T. Radhika. T. Radhika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 40 | |
| 6 | 36 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | Analysis of Markovian Jump Stochastic Cohen–Grossberg BAM Neural Networks with Time Delays for Exponential Input-to-State Stabilitybreakdown → | 105 |
| 10 | 79 | |
| 11 | 13 | |
| 12 | 11 | |
| 13 | 26 | |
| 14 | 10 | |
| 15 | 8 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 16 | |
| 19 | 18 | |
| 20 | 25 |
About T. Radhika
T. Radhika is a scholar working on Computer Networks and Communications, Mathematical Physics and Control and Systems Engineering, having authored 24 papers that have together received 555 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (22 papers), Advanced Memory and Neural Computing (7 papers) and Stability and Control of Uncertain Systems (7 papers). The work is most often cited by research in Computer Networks and Communications (203 citations), Artificial Intelligence (204 citations) and Control and Systems Engineering (141 citations). T. Radhika has collaborated with scholars based in India, China and Germany. Frequent co-authors include A. Chandrasekar, Quanxin Zhu, G. Nagamani, V. Vijayakumar, Yang Cao, Muhammad Shamrooz Aslam, R. Rakkiyappan, P. Balasubramaniam, S. M. Ramasamy and Young Hoon Joo. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, International Journal of Electrical Power & Energy Systems and Nonlinear Dynamics.
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.