S. Kumarganesh
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Artificial Intelligence
- Neurology
- Electrical and Electronic Engineering
- Co-authors
- M. SuganthiB. ThiyaneswaranK. Martin SagayamBinay Kumar PandeyDigvijay PandeyMarc PomplunN. SanthiyakumariB. Paulchamy
- Topics
- Brain Tumor Detection and Classification (7 papers)AI in cancer detection (3 papers)Advanced Data Compression Techniques (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Computational Biology
- Partner nations
- IndiaUnited StatesVietnam
In The Last Decade
S. Kumarganesh
26 papers receiving 226 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 86
- Biomedical Engineering 68
- Artificial Intelligence 60
- Neurology 45
- Electrical and Electronic Engineering 37
Countries citing papers authored by S. Kumarganesh
This map shows the geographic impact of S. Kumarganesh'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. Kumarganesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kumarganesh more than expected).
Fields of papers citing papers by S. Kumarganesh
This network shows the impact of papers produced by S. Kumarganesh. 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. Kumarganesh. The network helps show where S. Kumarganesh may publish in the future.
Co-authorship network of co-authors of S. Kumarganesh
This figure shows the co-authorship network connecting the top 25 collaborators of S. Kumarganesh. A scholar is included among the top collaborators of S. Kumarganesh 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. Kumarganesh. S. Kumarganesh 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 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 17 | |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 44 | |
| 19 | 22 | |
| 20 | Efficient Medical Data and Medical Video Compression Using HEVC Standard | 1 |
About S. Kumarganesh
S. Kumarganesh is a scholar working on Neurology, Computer Vision and Pattern Recognition and Bioengineering, having authored 28 papers that have together received 263 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (7 papers), AI in cancer detection (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Neurology (45 citations), Computer Vision and Pattern Recognition (86 citations) and Health Information Management (16 citations). S. Kumarganesh has collaborated with scholars based in India, United States and Vietnam. Frequent co-authors include M. Suganthi, B. Thiyaneswaran, K. Martin Sagayam, Binay Kumar Pandey, Digvijay Pandey, Marc Pomplun, N. Santhiyakumari, B. Paulchamy, D. Raja and R Maheshwari. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Computational Biology.
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.