Rajkumar Muthusamy

45 total papers · 805 total citations
28 papers, 561 citations indexed

About

Rajkumar Muthusamy is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Rajkumar Muthusamy has authored 28 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 10 papers in Biomedical Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Rajkumar Muthusamy's work include Robot Manipulation and Learning (14 papers), Soft Robotics and Applications (7 papers) and Adaptive Control of Nonlinear Systems (6 papers). Rajkumar Muthusamy is often cited by papers focused on Robot Manipulation and Learning (14 papers), Soft Robotics and Applications (7 papers) and Adaptive Control of Nonlinear Systems (6 papers). Rajkumar Muthusamy collaborates with scholars based in United Arab Emirates, Finland and United States. Rajkumar Muthusamy's co-authors include Rong‐Jong Wai, Yahya Zweiri, Lakmal Seneviratne, Dongming Gan, Matthew Garratt, Ville Kyrki, H. R. Pota, Abdulla Ayyad, Umer Hameed Shah and Andrea Monteriù and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Rajkumar Muthusamy

25 papers receiving 551 citations

Author Peers

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

Author						Papers	Cites
Rajkumar Muthusamy	368	138	107	101	78	28	561
Ying Feng	476 1.3×	139 1.0×	78 0.7×	54 0.5×	67 0.9×	64	693
Peng Yu	251 0.7×	113 0.8×	84 0.8×	89 0.9×	63 0.8×	50	515
Eugen Solowjow	294 0.8×	138 1.0×	66 0.6×	62 0.6×	100 1.3×	28	554
Mohamed Boukattaya	464 1.3×	79 0.6×	98 0.9×	46 0.5×	144 1.8×	60	613
Hongjun Yang	375 1.0×	77 0.6×	93 0.9×	43 0.4×	41 0.5×	57	609
Jang Myung Lee	333 0.9×	71 0.5×	128 1.2×	33 0.3×	98 1.3×	30	510
Manuel Bandala	214 0.6×	88 0.6×	115 1.1×	106 1.0×	89 1.1×	33	543
Rogelio Soto	244 0.7×	175 1.3×	84 0.8×	87 0.9×	45 0.6×	54	644
Marion Leibold	365 1.0×	113 0.8×	72 0.7×	42 0.4×	117 1.5×	57	578
Yi Li	190 0.5×	76 0.6×	70 0.7×	80 0.8×	202 2.6×	42	528

Countries citing papers authored by Rajkumar Muthusamy

Since Specialization

Citations

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

Fields of papers citing papers by Rajkumar Muthusamy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajkumar Muthusamy

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