S. Manoharan

35 total papers · 748 total citations
18 papers, 461 citations indexed

About

S. Manoharan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, S. Manoharan has authored 18 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in S. Manoharan's work include Power Quality and Harmonics (3 papers), AI in cancer detection (3 papers) and Multilevel Inverters and Converters (3 papers). S. Manoharan is often cited by papers focused on Power Quality and Harmonics (3 papers), AI in cancer detection (3 papers) and Multilevel Inverters and Converters (3 papers). S. Manoharan collaborates with scholars based in India, Ethiopia and Saudi Arabia. S. Manoharan's co-authors include Chandran Venkatesan, M. G. Sumithra, Alagar Karthick, Suriya Murugan, M. Akila, Xiao‐Zhi Gao, Umashankar Subramaniam, M. Deivakani, R. Kabilan and Robbi Rahim and has published in prestigious journals such as IEEE Access, BioMed Research International and Mathematical Problems in Engineering.

In The Last Decade

S. Manoharan

14 papers receiving 417 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
S. Manoharan 249 182 103 86 66 18 461
Adwan Alanazi 105 0.4× 103 0.6× 63 0.6× 64 0.7× 30 0.5× 29 502
Noha F. Mahmoud 180 0.7× 67 0.4× 90 0.9× 102 1.2× 21 0.3× 27 416
Amir Mosavi 191 0.8× 155 0.9× 100 1.0× 108 1.3× 28 0.4× 20 480
Ahmad Waleed Salehi 181 0.7× 108 0.6× 143 1.4× 89 1.0× 57 0.9× 14 511
C. Jiménez-Mesa 139 0.6× 69 0.4× 119 1.2× 100 1.2× 30 0.5× 14 439
Sang‐Woong Lee 231 0.9× 91 0.5× 117 1.1× 211 2.5× 28 0.4× 19 516
Tanoy Debnath 211 0.8× 140 0.8× 70 0.7× 122 1.4× 35 0.5× 10 517
Esraa Hassan 126 0.5× 52 0.3× 95 0.9× 116 1.3× 30 0.5× 35 407
Sidratul Montaha 212 0.9× 111 0.6× 156 1.5× 130 1.5× 19 0.3× 32 461
Warda M. Shaban 229 0.9× 23 0.1× 184 1.8× 58 0.7× 66 1.0× 23 495

Countries citing papers authored by S. Manoharan

Since Specialization
Citations

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

Fields of papers citing papers by S. Manoharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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