S. Arumugam
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Information Systems
- Signal Processing
- Media Technology top 10%
- Co-authors
- L. GanesanM. Nirmala DeviN. MohankumarS. Thamarai SelviS. RathinavelK. Senthamarai KannanV. MohanrajArun Narayanan
- Topics
- Biometric Identification and Security (10 papers)User Authentication and Security Systems (6 papers)Face recognition and analysis (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionApplied Soft Computing
- Partner nations
- IndiaSaudi ArabiaEgypt
In The Last Decade
S. Arumugam
45 papers receiving 250 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 136
- Artificial Intelligence 83
- Information Systems 38
- Signal Processing 38
- Media Technology 35
Countries citing papers authored by S. Arumugam
This map shows the geographic impact of S. Arumugam'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. Arumugam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Arumugam more than expected).
Fields of papers citing papers by S. Arumugam
This network shows the impact of papers produced by S. Arumugam. 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. Arumugam. The network helps show where S. Arumugam may publish in the future.
Co-authorship network of co-authors of S. Arumugam
This figure shows the co-authorship network connecting the top 25 collaborators of S. Arumugam. A scholar is included among the top collaborators of S. Arumugam 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. Arumugam. S. Arumugam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | Optimized Evaluation of Students Performances Using Fuzzy Logic | 10 |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | Monitoring the stability of the processes in defined level software companies using control charts with three sigma limits | 7 |
| 14 | Vector Quantization based Speaker Identification | 1 |
| 15 | Modeling and analysis of neuro–genetic hybrid system on FPGA | 2 |
| 16 | 2 | |
| 17 | 24 | |
| 18 | 25 | |
| 19 | A Robust Outlier Detection Scheme for Collaborative Sensor Networks | 2 |
| 20 | 14 |
About S. Arumugam
S. Arumugam is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 50 papers that have together received 292 indexed citations. Recurring topics across this work include Biometric Identification and Security (10 papers), User Authentication and Security Systems (6 papers) and Face recognition and analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Media Technology (35 citations) and Signal Processing (38 citations). S. Arumugam has collaborated with scholars based in India, Saudi Arabia and Egypt. Frequent co-authors include L. Ganesan, M. Nirmala Devi, N. Mohankumar, S. Thamarai Selvi, S. Rathinavel, K. Senthamarai Kannan, V. Mohanraj, Arun Narayanan, K. Rameshkumar and G. S. Anandha Mala. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Applied Soft Computing.
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.