R. Arumuganathan

49 total papers · 666 total citations
42 papers, 529 citations indexed

About

R. Arumuganathan is a scholar working on Management Information Systems, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, R. Arumuganathan has authored 42 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Management Information Systems, 15 papers in Electrical and Electronic Engineering and 13 papers in Management Science and Operations Research. Recurrent topics in R. Arumuganathan's work include Advanced Queuing Theory Analysis (33 papers), Advanced Wireless Network Optimization (14 papers) and Probability and Risk Models (12 papers). R. Arumuganathan is often cited by papers focused on Advanced Queuing Theory Analysis (33 papers), Advanced Wireless Network Optimization (14 papers) and Probability and Risk Models (12 papers). R. Arumuganathan collaborates with scholars based in India, United States and South Korea. R. Arumuganathan's co-authors include S. Jeyakumar, Krishna Sivakumar, R. Nadarajan, Balasubramanian Murugesan, Dharmaraja Selvamuthu and Srinivas Chakravarthy and has published in prestigious journals such as Computers & Operations Research, Applied Mathematical Modelling and Quality Technology & Quantitative Management.

In The Last Decade

R. Arumuganathan

41 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
R. Arumuganathan 348 168 138 119 109 42 529
Haoxi Zhang 12 0.0× 79 0.5× 33 0.2× 11 0.1× 64 0.6× 39 532
Dushyant Sharma 23 0.1× 51 0.3× 81 0.6× 54 0.5× 206 1.9× 47 614
Mohammed A. Alqarni 23 0.1× 94 0.6× 29 0.2× 11 0.1× 54 0.5× 44 558
Ming‐Feng Yeh 19 0.1× 112 0.7× 42 0.3× 50 0.4× 27 0.2× 54 565
Cun Ji 16 0.0× 22 0.1× 41 0.3× 37 0.3× 241 2.2× 47 457
Sanam Shahla Rizvi 10 0.0× 81 0.5× 36 0.3× 11 0.1× 45 0.4× 49 496
Mouhcine Guennoun 25 0.1× 109 0.6× 73 0.5× 11 0.1× 42 0.4× 39 456
Nabeel Salih Ali 14 0.0× 101 0.6× 85 0.6× 5 0.0× 91 0.8× 41 579
Odile Marcotte 11 0.0× 71 0.4× 37 0.3× 26 0.2× 10 0.1× 38 524
Zhiyang Jia 127 0.4× 37 0.2× 23 0.2× 19 0.2× 13 0.1× 71 561

Countries citing papers authored by R. Arumuganathan

Since Specialization
Citations

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

Fields of papers citing papers by R. Arumuganathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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