S. Velmurugan

1.7k total citations · 1 hit paper
8 papers, 859 citations indexed

About

S. Velmurugan is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, S. Velmurugan has authored 8 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Plant Science. Recurrent topics in S. Velmurugan's work include Nanoparticles: synthesis and applications (5 papers), Laser-Ablation Synthesis of Nanoparticles (2 papers) and Moringa oleifera research and applications (2 papers). S. Velmurugan is often cited by papers focused on Nanoparticles: synthesis and applications (5 papers), Laser-Ablation Synthesis of Nanoparticles (2 papers) and Moringa oleifera research and applications (2 papers). S. Velmurugan collaborates with scholars based in India. S. Velmurugan's co-authors include K. Elumalai, S. Ravi, V. Kathiravan, S. Ashokkumar, Chandra Prasad Khatiwada, T. S. Subashini and A. Palavesam and has published in prestigious journals such as Applied Surface Science, Environmental Science and Pollution Research and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

In The Last Decade

S. Velmurugan

7 papers receiving 818 citations

Hit Papers

Green synthesis, characte... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Velmurugan India 6 696 177 157 96 94 8 859
G. Sangeetha India 6 634 0.9× 151 0.9× 143 0.9× 102 1.1× 96 1.0× 20 892
M. Anbuvannan India 5 731 1.1× 175 1.0× 124 0.8× 104 1.1× 140 1.5× 7 888
Aishma Khattak Pakistan 9 752 1.1× 190 1.1× 173 1.1× 147 1.5× 89 0.9× 15 1.0k
Qaisar Maqbool Pakistan 14 740 1.1× 223 1.3× 151 1.0× 104 1.1× 102 1.1× 25 957
Wajidullah Wajidullah Pakistan 9 637 0.9× 140 0.8× 130 0.8× 113 1.2× 140 1.5× 11 842
S. Narendhran India 9 544 0.8× 189 1.1× 142 0.9× 77 0.8× 63 0.7× 13 723
K. Rajesh India 12 676 1.0× 212 1.2× 123 0.8× 122 1.3× 65 0.7× 19 861
Deepak Kumar Soni India 4 483 0.7× 147 0.8× 118 0.8× 89 0.9× 51 0.5× 7 622
J. S. Rana India 6 576 0.8× 132 0.7× 149 0.9× 105 1.1× 52 0.6× 12 744
Shubhanwita Saha India 7 529 0.8× 143 0.8× 117 0.7× 89 0.9× 111 1.2× 9 718

Countries citing papers authored by S. Velmurugan

Since Specialization
Citations

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

Fields of papers citing papers by S. Velmurugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

8 of 8 papers shown
1.
Velmurugan, S. & T. S. Subashini. (2022). Binary descriptors for Copy-Move Forgery Detection in Digital Photographs. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). 45. 1345–1352.
2.
Velmurugan, S. & T. S. Subashini. (2020). Patch-match based detection of copy-move forgeries using rotation invariant features. Materials Today Proceedings. 33. 4686–4690. 3 indexed citations
3.
Elumalai, K., S. Velmurugan, S. Ravi, V. Kathiravan, & S. Ashokkumar. (2015). Bio-fabrication of zinc oxide nanoparticles using leaf extract of curry leaf (Murraya koenigii) and its antimicrobial activities. Materials Science in Semiconductor Processing. 34. 365–372. 84 indexed citations
4.
Elumalai, K., et al.. (2015). Bio-approach: Plant mediated synthesis of ZnO nanoparticles and their catalytic reduction of methylene blue and antimicrobial activity. Advanced Powder Technology. 26(6). 1639–1651. 147 indexed citations
5.
Elumalai, K. & S. Velmurugan. (2015). Green synthesis, characterization and antimicrobial activities of zinc oxide nanoparticles from the leaf extract of Azadirachta indica (L.). Applied Surface Science. 345. 329–336. 495 indexed citations breakdown →
6.
Ashokkumar, S., S. Ravi, V. Kathiravan, & S. Velmurugan. (2014). Rapid biological synthesis of silver nanoparticles using Leucas martinicensis leaf extract for catalytic and antibacterial activity. Environmental Science and Pollution Research. 21(19). 11439–11446. 17 indexed citations
7.
Kathiravan, V., S. Ravi, S. Ashokkumar, et al.. (2014). Green synthesis of silver nanoparticles using Croton sparsiflorus morong leaf extract and their antibacterial and antifungal activities. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 139. 200–205. 105 indexed citations
8.
Velmurugan, S., et al.. (2013). DNA barcodes for marine fungal identification and discovery. Fungal ecology. 6(5). 408–418. 8 indexed citations

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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