S. Muttan
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Biomedical Engineering
- Aerospace Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Vijayarajan RajangamT. JayasreeMahesh KeerthivasanS. SenthilkumarKalpana RamachandranN. KumarasamyK. SankaranKrishnan Sankaran
- Topics
- Advanced Image Fusion Techniques (10 papers)Remote-Sensing Image Classification (9 papers)Image and Signal Denoising Methods (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Medical InformaticsJournal of Medical Systems
- Partner nations
- IndiaUnited States
In The Last Decade
S. Muttan
34 papers receiving 262 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 166
- Media Technology 155
- Biomedical Engineering 48
- Aerospace Engineering 38
- Radiology, Nuclear Medicine and Imaging 35
Countries citing papers authored by S. Muttan
This map shows the geographic impact of S. Muttan'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. Muttan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Muttan more than expected).
Fields of papers citing papers by S. Muttan
This network shows the impact of papers produced by S. Muttan. 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. Muttan. The network helps show where S. Muttan may publish in the future.
Co-authorship network of co-authors of S. Muttan
This figure shows the co-authorship network connecting the top 25 collaborators of S. Muttan. A scholar is included among the top collaborators of S. Muttan 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. Muttan. S. Muttan 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 | 4 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | Spatial Weighted Fuzzy C-Means Clustering Based Principal Component Averaging Image Fusion | 3 |
| 6 | 6 | |
| 7 | 93 | |
| 8 | Local Principal Component Averaging Image Fusion | 3 |
| 9 | 7 | |
| 10 | Analysis of Brain Fiber Tracts on Ageing using Textural Features | 0 |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | Analysis of FCM Clustering on Pre and Post Iterative relaxed adaptive center weighted median filter in MRI & CT Brain Images | 1 |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 28 |
About S. Muttan
S. Muttan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Medical Laboratory Technology, having authored 38 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (10 papers), Remote-Sensing Image Classification (9 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Media Technology (155 citations), Computer Vision and Pattern Recognition (166 citations) and Signal Processing (26 citations). S. Muttan has collaborated with scholars based in India and United States. Frequent co-authors include Vijayarajan Rajangam, T. Jayasree, Mahesh Keerthivasan, S. Senthilkumar, Kalpana Ramachandran, N. Kumarasamy, K. Sankaran, Krishnan Sankaran, R. Seetharaman and Dhandapani Vaithiyanathan. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Medical Informatics and Journal of Medical Systems.
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.