Muthukumaran Malarvel
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Radiology, Nuclear Medicine and Imaging
- Mechanics of Materials
- Co-authors
- Harjeet SinghGopalakrishnan SethumadhavanT. SaravananSoumitra KarSurya Narayan PandaMohammad Zubair KhanSoumya Ranjan NayakShivani Sood
- Topics
- Digital Imaging for Blood Diseases (5 papers)Medical Image Segmentation Techniques (5 papers)Non-Destructive Testing Techniques (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionHealth Information Management
- Partner nations
- IndiaUnited KingdomFrance
In The Last Decade
Muthukumaran Malarvel
23 papers receiving 257 citations
Peers
Comparison fields: 5 of 71
- Mechanical Engineering 106
- Computer Vision and Pattern Recognition 82
- Industrial and Manufacturing Engineering 67
- Radiology, Nuclear Medicine and Imaging 48
- Mechanics of Materials 27
Countries citing papers authored by Muthukumaran Malarvel
This map shows the geographic impact of Muthukumaran Malarvel'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 Muthukumaran Malarvel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muthukumaran Malarvel more than expected).
Fields of papers citing papers by Muthukumaran Malarvel
This network shows the impact of papers produced by Muthukumaran Malarvel. 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 Muthukumaran Malarvel. The network helps show where Muthukumaran Malarvel may publish in the future.
Co-authorship network of co-authors of Muthukumaran Malarvel
This figure shows the co-authorship network connecting the top 25 collaborators of Muthukumaran Malarvel. A scholar is included among the top collaborators of Muthukumaran Malarvel 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 Muthukumaran Malarvel. Muthukumaran Malarvel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 55 | |
| 11 | 13 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 6 | |
| 19 | 43 | |
| 20 | 57 |
About Muthukumaran Malarvel
Muthukumaran Malarvel is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Information Management, having authored 27 papers that have together received 278 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (5 papers), Medical Image Segmentation Techniques (5 papers) and Non-Destructive Testing Techniques (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (67 citations), Computer Vision and Pattern Recognition (82 citations) and Health Information Management (17 citations). Muthukumaran Malarvel has collaborated with scholars based in India, United Kingdom and France. Frequent co-authors include Harjeet Singh, Gopalakrishnan Sethumadhavan, T. Saravanan, Soumitra Kar, Surya Narayan Panda, Mohammad Zubair Khan, Soumya Ranjan Nayak, Shivani Sood, Priyadarshini Adyasha Pattanaik and M. Kathiravan. Their work appears in journals such as IEEE Access, Optik and Digital Signal Processing.
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.