Ramasamy Kavikumar

35 total papers · 482 total citations
28 papers, 382 citations indexed

About

Ramasamy Kavikumar is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Ramasamy Kavikumar has authored 28 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 14 papers in Computer Networks and Communications and 13 papers in Artificial Intelligence. Recurrent topics in Ramasamy Kavikumar's work include Stability and Control of Uncertain Systems (16 papers), Neural Networks Stability and Synchronization (14 papers) and Fuzzy Logic and Control Systems (12 papers). Ramasamy Kavikumar is often cited by papers focused on Stability and Control of Uncertain Systems (16 papers), Neural Networks Stability and Synchronization (14 papers) and Fuzzy Logic and Control Systems (12 papers). Ramasamy Kavikumar collaborates with scholars based in South Korea, India and Saudi Arabia. Ramasamy Kavikumar's co-authors include R. Sakthivel, Oh‐Min Kwon, B. Kaviarasan, Seung-Hoon Lee, Yong‐Ki Ma, S. Marshal Anthoni, Ardashir Mohammadzadeh, Yurong Liu, Sangmoon Lee and Seong Gon Choi and has published in prestigious journals such as IEEE Access, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

Ramasamy Kavikumar

26 papers receiving 381 citations

Author Peers

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

Author						Papers	Cites
Ramasamy Kavikumar	309	180	102	45	36	28	382
Mengjie Hu	263 0.9×	241 1.3×	60 0.6×	86 1.9×	59 1.6×	37	442
J. S. Luo	302 1.0×	207 1.1×	45 0.4×	40 0.9×	44 1.2×	28	434
Hamdi Gassara	383 1.2×	157 0.9×	41 0.4×	30 0.7×	18 0.5×	36	414
Jianjiang Yu	169 0.5×	296 1.6×	104 1.0×	108 2.4×	65 1.8×	37	414
Maya Joby	369 1.2×	208 1.2×	42 0.4×	55 1.2×	36 1.0×	16	438
Geun Bum Koo	331 1.1×	170 0.9×	71 0.7×	25 0.6×	29 0.8×	30	372
Mingcheng Dai	313 1.0×	289 1.6×	51 0.5×	56 1.2×	49 1.4×	12	432
Van‐Phong Vu	305 1.0×	88 0.5×	81 0.8×	48 1.1×	83 2.3×	35	386
Yanbing Mao	274 0.9×	192 1.1×	56 0.5×	71 1.6×	17 0.5×	28	393
Ali Akbarzadeh Kalat	278 0.9×	49 0.3×	76 0.7×	39 0.9×	58 1.6×	44	388

Countries citing papers authored by Ramasamy Kavikumar

Since Specialization

Citations

This map shows the geographic impact of Ramasamy Kavikumar'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 Ramasamy Kavikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramasamy Kavikumar more than expected).

Fields of papers citing papers by Ramasamy Kavikumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramasamy Kavikumar. 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 Ramasamy Kavikumar. The network helps show where Ramasamy Kavikumar may publish in the future.

Co-authorship network of co-authors of Ramasamy Kavikumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ramasamy Kavikumar. A scholar is included among the top collaborators of Ramasamy Kavikumar 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 Ramasamy Kavikumar. Ramasamy Kavikumar 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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