R. Sivasamy

70 total papers · 688 total citations
37 papers, 547 citations indexed

About

R. Sivasamy is a scholar working on Computer Networks and Communications, Molecular Biology and Plant Science. According to data from OpenAlex, R. Sivasamy has authored 37 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in R. Sivasamy's work include Neural Networks Stability and Synchronization (8 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Chaos control and synchronization (4 papers). R. Sivasamy is often cited by papers focused on Neural Networks Stability and Synchronization (8 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Chaos control and synchronization (4 papers). R. Sivasamy collaborates with scholars based in India, United States and China. R. Sivasamy's co-authors include R. Rakkiyappan, Jinde Cao, Xiaodi Li, Ju H. Park, Tae-Hee Lee, T. N. Balasubramanian, K. Ramesh, U. Bangarusamy, S. Lakshmanan and Chee Peng Lim and has published in prestigious journals such as Scientific Reports, Dalton Transactions and Neurocomputing.

In The Last Decade

R. Sivasamy

33 papers receiving 533 citations

Author Peers

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

Author						Papers	Cites
R. Sivasamy	233	121	115	77	75	37	547
Qun Luo	157 0.7×	188 1.6×	17 0.1×	103 1.3×	12 0.2×	26	544
Rahul Tripathi	149 0.6×	26 0.2×	21 0.2×	83 1.1×	84 1.1×	48	504
Fenglan Wang	145 0.6×	20 0.2×	266 2.3×	20 0.3×	27 0.4×	56	589
Huan Li	77 0.3×	102 0.8×	32 0.3×	135 1.8×	3 0.0×	30	538
Limin Zhang	120 0.5×	104 0.9×	10 0.1×	58 0.8×	71 0.9×	35	498
Hayati Yassin	21 0.1×	37 0.3×	26 0.2×	41 0.5×	95 1.3×	53	561
Li Zeng	96 0.4×	63 0.5×	27 0.2×	209 2.7×	5 0.1×	37	555
F. M. Spieksma	116 0.5×	96 0.8×	43 0.4×	23 0.3×	21 0.3×	29	547
Lingling Liu	38 0.2×	64 0.5×	11 0.1×	109 1.4×	18 0.2×	70	522
Hideaki Tanaka	66 0.3×	9 0.1×	63 0.5×	233 3.0×	93 1.2×	39	543

Countries citing papers authored by R. Sivasamy

Since Specialization

Citations

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

Fields of papers citing papers by R. Sivasamy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Sivasamy

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