K. Subramanian
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Young Hoon JooP. MuthukumarHan Sol KimS. LakshmananHieu TrinhQuanxin ZhuSamson S. YuMohammed Chadli
- Topics
- Neural Networks Stability and Synchronization (17 papers)Stability and Control of Uncertain Systems (15 papers)Frequency Control in Power Systems (8 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsStatistical and Nonlinear Physics
- Partner nations
- South KoreaIndiaAustralia
In The Last Decade
K. Subramanian
27 papers receiving 514 citations
Peers
Comparison fields: 5 of 40
- Control and Systems Engineering 342
- Computer Networks and Communications 266
- Electrical and Electronic Engineering 188
- Artificial Intelligence 134
- Statistical and Nonlinear Physics 62
Countries citing papers authored by K. Subramanian
This map shows the geographic impact of K. Subramanian'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 K. Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Subramanian more than expected).
Fields of papers citing papers by K. Subramanian
This network shows the impact of papers produced by K. Subramanian. 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 K. Subramanian. The network helps show where K. Subramanian may publish in the future.
Co-authorship network of co-authors of K. Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of K. Subramanian. A scholar is included among the top collaborators of K. Subramanian 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 K. Subramanian. K. Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 22 | |
| 10 | 17 | |
| 11 | 76 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 39 | |
| 15 | 26 | |
| 16 | 34 | |
| 17 | 18 | |
| 18 | 24 | |
| 19 | 32 | |
| 20 | 16 |
About K. Subramanian
K. Subramanian is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 29 papers that have together received 520 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (17 papers), Stability and Control of Uncertain Systems (15 papers) and Frequency Control in Power Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (342 citations), Computer Networks and Communications (266 citations) and Statistical and Nonlinear Physics (62 citations). K. Subramanian has collaborated with scholars based in South Korea, India and Australia. Frequent co-authors include Young Hoon Joo, P. Muthukumar, Han Sol Kim, S. Lakshmanan, Hieu Trinh, Quanxin Zhu, Samson S. Yu, Mohammed Chadli, Tae-Hee Lee and Peng Shi. Their work appears in journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.
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.