R. Arulmurugan

606 citations
23 papers · 117 indexed · h-index 6
Topics
Smart Systems and Machine Learning (9 papers)Internet of Things and AI (8 papers)Advanced Statistical Modeling Techniques (2 papers)
Partner nations
IndiaMalaysiaEthiopia

In The Last Decade

R. Arulmurugan

20 papers receiving 107 citations

Peers

R. Arulmurugan
Comparison fields: 5 of 55
  • Computer Networks and Communications 53
  • Information Systems 37
  • Artificial Intelligence 27
  • Computer Vision and Pattern Recognition 19
  • Electrical and Electronic Engineering 10
Replace Anjan Bandyopadhyay with:
Anjan Bandyopadhyay India
V. Porkodi Iraq
K. V. D. Kiran India
Maram Fahhad Almufareh Malaysia
Sivaraman Eswaran India
Grzegorz Blinowski Poland
K. V. Daya Sagar India
Arshad Ali Pakistan
Jiaji Wang China
Anvesha Katti India
R. Arulmurugan relative to Anjan Bandyopadhyay India Anjan Bandyopadhyay's profile →
Citations per field
00.5×6.8×
Anjan Bandyopadhyay · 1×
Citations per year

Countries citing papers authored by R. Arulmurugan

Since Specialization
Citations

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

Fields of papers citing papers by R. Arulmurugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of R. Arulmurugan. A scholar is included among the top collaborators of R. Arulmurugan 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. Arulmurugan. R. Arulmurugan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3
A Virtual Laboratory for 555 Timer Circuit Investigation Approach
0
4 5
5 2
6 3
7 1
8 4
9 15
10
Computational intelligence and sustainable systems: intelligence and sustainable computing
2
11 1
12 5
13 1
14 1
15 23
16 22
17 0
18 2
19 5
20 0

About R. Arulmurugan

R. Arulmurugan is a scholar working on Media Technology, Biophysics and Computer Networks and Communications, having authored 23 papers that have together received 117 indexed citations. Recurring topics across this work include Smart Systems and Machine Learning (9 papers), Internet of Things and AI (8 papers) and Advanced Statistical Modeling Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (53 citations), Information Systems (37 citations) and Health Information Management (5 citations). R. Arulmurugan has collaborated with scholars based in India, Malaysia and Ethiopia. Frequent co-authors include H. Anandakumar and Chee‐Onn Chow. Their work appears in journals such as SHILAP Revista de lepidopterología, Mobile Networks and Applications and Mathematical Problems in Engineering.

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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