K. Subramanian

35 total papers · 648 total citations
28 papers, 505 citations indexed

About

K. Subramanian is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, K. Subramanian has authored 28 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 18 papers in Computer Networks and Communications and 9 papers in Electrical and Electronic Engineering. Recurrent topics in K. Subramanian's work include Neural Networks Stability and Synchronization (17 papers), Stability and Control of Uncertain Systems (14 papers) and Frequency Control in Power Systems (8 papers). K. Subramanian is often cited by papers focused on Neural Networks Stability and Synchronization (17 papers), Stability and Control of Uncertain Systems (14 papers) and Frequency Control in Power Systems (8 papers). K. Subramanian collaborates with scholars based in South Korea, India and Australia. K. Subramanian's co-authors include Young Hoon Joo, P. Muthukumar, Han Sol Kim, S. Lakshmanan, Hieu Trinh, Quanxin Zhu, Peng Shi, Tae-Hee Lee, Samson S. Yu and Mohammed Chadli and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

In The Last Decade

K. Subramanian

27 papers receiving 500 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K. Subramanian 331 264 182 128 62 28 505
Kui Ding 294 0.9× 315 1.2× 115 0.6× 74 0.6× 115 1.9× 28 528
Long‐Yeu Chung 368 1.1× 342 1.3× 51 0.3× 87 0.7× 84 1.4× 30 579
Abdulla Ismail 380 1.1× 231 0.9× 70 0.4× 107 0.8× 41 0.7× 24 504
Chengcheng Ren 366 1.1× 204 0.8× 47 0.3× 47 0.4× 45 0.7× 21 466
Dunke Lu 414 1.3× 138 0.5× 63 0.3× 47 0.4× 26 0.4× 28 494
Zhengguo Huang 401 1.2× 305 1.2× 79 0.4× 48 0.4× 58 0.9× 15 515
Fengqi Yao 450 1.4× 368 1.4× 64 0.4× 49 0.4× 137 2.2× 40 617
Jin Bae Park 377 1.1× 139 0.5× 61 0.3× 120 0.9× 52 0.8× 17 451
Ramalingam Sakthivel 311 0.9× 420 1.6× 46 0.3× 57 0.4× 84 1.4× 34 556
Nannan Rong 228 0.7× 339 1.3× 136 0.7× 83 0.6× 114 1.8× 19 455

Countries citing papers authored by K. Subramanian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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2026