Suriya Murugan

81 total papers · 1.3k total citations
28 papers, 455 citations indexed

About

Suriya Murugan is a scholar working on Computer Networks and Communications, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Suriya Murugan has authored 28 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Environmental Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Suriya Murugan's work include Internet of Things and AI (3 papers), Machine Learning in Healthcare (2 papers) and Smart Systems and Machine Learning (2 papers). Suriya Murugan is often cited by papers focused on Internet of Things and AI (3 papers), Machine Learning in Healthcare (2 papers) and Smart Systems and Machine Learning (2 papers). Suriya Murugan collaborates with scholars based in India, Indonesia and Ethiopia. Suriya Murugan's co-authors include M. G. Sumithra, Chandran Venkatesan, M. Akila, Xiao‐Zhi Gao, S. Manoharan, Anandakumar Haldorai, Arulmurugan Ramu, R. Manikandan, Robbi Rahim and Chitra Sabapathy Ranganathan and has published in prestigious journals such as IEEE Access, International Journal of Production Research and Computer Applications in Engineering Education.

In The Last Decade

Suriya Murugan

24 papers receiving 429 citations

Hit Papers

DEMNET: A Deep Learning M... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Suriya Murugan 161 113 72 59 51 28 455
Olfa Ben Ahmed 192 1.2× 124 1.1× 126 1.8× 34 0.6× 78 1.5× 19 479
M. Akila 158 1.0× 123 1.1× 96 1.3× 52 0.9× 24 0.5× 31 527
Ahmad Waleed Salehi 108 0.7× 181 1.6× 89 1.2× 57 1.0× 38 0.7× 14 511
Loc Tran 129 0.8× 144 1.3× 159 2.2× 31 0.5× 37 0.7× 37 491
Syed Thouheed Ahmed 79 0.5× 191 1.7× 113 1.6× 36 0.6× 93 1.8× 58 524
Xinchun Cui 45 0.3× 82 0.7× 59 0.8× 22 0.4× 36 0.7× 28 540
Hend Khalid Alkahtani 52 0.3× 161 1.4× 53 0.7× 39 0.7× 96 1.9× 58 535
Mohamed K. Nour 110 0.7× 197 1.7× 144 2.0× 32 0.5× 62 1.2× 65 550
Faten S. Alamri 117 0.7× 147 1.3× 98 1.4× 46 0.8× 10 0.2× 52 492
Muhammad Fayaz 49 0.3× 104 0.9× 58 0.8× 21 0.4× 111 2.2× 38 501

Countries citing papers authored by Suriya Murugan

Since Specialization
Citations

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

Fields of papers citing papers by Suriya Murugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suriya Murugan

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