S. Kannimuthu

103 total papers · 623 total citations
46 papers, 380 citations indexed

About

S. Kannimuthu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, S. Kannimuthu has authored 46 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 20 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in S. Kannimuthu's work include Data Mining Algorithms and Applications (12 papers), Rough Sets and Fuzzy Logic (8 papers) and Imbalanced Data Classification Techniques (5 papers). S. Kannimuthu is often cited by papers focused on Data Mining Algorithms and Applications (12 papers), Rough Sets and Fuzzy Logic (8 papers) and Imbalanced Data Classification Techniques (5 papers). S. Kannimuthu collaborates with scholars based in India, United States and Nepal. S. Kannimuthu's co-authors include K. Premalatha, K. S. Bhuvaneshwari, D.K. Subramanian, Shashi Kant Shankar, S. T. Suganthi, M. Anand Kumar, Shankar Subramanian, Nebojša Bačanin, S. Nandhini and M. Prakash and has published in prestigious journals such as IEEE Access, Biomedical Signal Processing and Control and Mobile Networks and Applications.

In The Last Decade

S. Kannimuthu

40 papers receiving 345 citations

Author Peers

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

Author						Papers	Cites
S. Kannimuthu	187	156	83	48	45	46	380
Umberto Scafuri	194 1.0×	65 0.4×	71 0.9×	84 1.8×	12 0.3×	45	417
Reza Pulungan	133 0.7×	84 0.5×	67 0.8×	19 0.4×	21 0.5×	75	436
Miho Ohsaki	198 1.1×	94 0.6×	55 0.7×	21 0.4×	98 2.2×	54	432
Sherine Rady	192 1.0×	129 0.8×	20 0.2×	46 1.0×	24 0.5×	56	358
Zhen Liu	183 1.0×	163 1.0×	46 0.6×	37 0.8×	59 1.3×	47	444
Miguel Vargas Martín	125 0.7×	113 0.7×	58 0.7×	95 2.0×	44 1.0×	70	426
Bo Hang	139 0.7×	78 0.5×	41 0.5×	104 2.2×	59 1.3×	50	345
Nadjet Kamel	232 1.2×	81 0.5×	65 0.8×	53 1.1×	27 0.6×	27	361
Zhiming Cui	227 1.2×	58 0.4×	78 0.9×	31 0.6×	23 0.5×	64	443
Amadeo-José Argüelles-Cruz	131 0.7×	71 0.5×	15 0.2×	61 1.3×	19 0.4×	55	370

Countries citing papers authored by S. Kannimuthu

Since Specialization

Citations

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

Fields of papers citing papers by S. Kannimuthu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Kannimuthu

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