S. Valarmathy

44 papers receiving 347 citations

Peers

S. Valarmathy
Comparison fields: 5 of 76
  • Signal Processing 76
  • Media Technology 50
  • Computer Vision and Pattern Recognition 111
  • Artificial Intelligence 105
  • Neurology 25
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Citations per year

Countries citing papers authored by S. Valarmathy

Since Specialization
Citations

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

Fields of papers citing papers by S. Valarmathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside S. Valarmathy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Valarmathy Line = papers co-authored together S. Valarmathy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 201359
3 202334
4 202329
5 202329
6
Bank Locker Security System based on RFID and GSM Technology
201222
7 201518
8
DESIGN AND ANALYSIS OF LOW POWER COMPRESSORS
201217
9 201316
10 201311
11 20128
12
Development of a novel algorithm for SVMBDT fingerprint classifier based on clustering approach
20127
13
A Novel Feature Extraction Techniques for Multimodal Score Fusion Using Density Based Gaussian Mixture Model Approach
20126
14 20156
15 20236
16 20146
17 20146
18 20125
19
Performance Evaluation of Contourlet Transform based Palmprint Recognition using Nearest Neighbour Classifier
20134
20 20174

About S. Valarmathy

S. Valarmathy is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 50 papers that have together received 422 indexed citations. Recurring topics across this work include Biometric Identification and Security (10 papers), Speech and Audio Processing (6 papers), Face and Expression Recognition (5 papers), Advanced Adaptive Filtering Techniques (5 papers), IoT-based Smart Home Systems (4 papers), AI in cancer detection (4 papers), Music and Audio Processing (3 papers) and IoT and GPS-based Vehicle Safety Systems (3 papers). The work is most often cited by research in Signal Processing (76 citations), Media Technology (50 citations), Computer Vision and Pattern Recognition (111 citations), Artificial Intelligence (105 citations) and Neurology (25 citations). S. Valarmathy has collaborated with scholars based in India. Frequent co-authors include N. Suthanthira Vanitha, Ramachandran Ramani, R. Ramani, J Aravinth, C. Srinivasan, S. Karthika, S. Murugan, K. Satheesh Kumar, E. Prabhu and Stewart Kirubakaran S. Their work appears in journals such as Arabian Journal for Science and Engineering, The Imaging Science Journal, Journal of Computational and Theoretical Nanoscience, International Journal of Intelligent Systems and Applications and International Review on Computers and Software (IRECOS).

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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