S. N. Kumar
Impact in
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- Brain Tumor Detection and Classification
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- Medical Image Segmentation Techniques
- Advanced Data Compression Techniques
Papers in
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- Medical Image Segmentation Techniques 11
- Image and Signal Denoising Methods 5
- Advanced Data Compression Techniques 4
- Image Retrieval and Classification Techniques 3
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- COVID-19 diagnosis using AI 3
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- A. Lenin Fred (11 shared papers)Sujatha Krishnamoorthy (2 shared papers)A. Ahilan (2 shared papers)Gokulnath Chandra Babu (1 shared paper)T. Jarin (1 shared paper)Priyan Malarvizhi Kumar (1 shared paper)C. Agees Kumar (1 shared paper)P. Parthasarathy (1 shared paper)
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (1 paper)IEEE Sensors Journal (1 paper)Food Biophysics (1 paper)Multimedia Systems (1 paper)Journal of Digital Imaging (1 paper)
- Partner nations
- IndiaMalaysiaUnited States
In The Last Decade
S. N. Kumar
26 papers receiving 365 citations
Peers
Comparison fields: 5 of 97
- Neurology 53
- Computer Vision and Pattern Recognition 126
- Media Technology 29
- Cognitive Neuroscience 54
- Biophysics 16
Countries citing papers authored by S. N. Kumar
This map shows the geographic impact of S. N. Kumar'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. N. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. N. Kumar more than expected).
Fields of papers citing papers by S. N. Kumar
This network shows the impact of papers produced by S. N. Kumar. 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. N. Kumar. The network helps show where S. N. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside S. N. Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 117 | |
| 2 | 2019 | 54 | |
| 3 | 2022 | 52 | |
| 4 | 2018 | 33 | |
| 5 | 2019 | 22 | |
| 6 | 2018 | 17 | |
| 7 | 2023 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 9 | |
| 10 | 2016 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2024 | 4 | |
| 13 | 2011 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2016 | 2 |
About S. N. Kumar
S. N. Kumar is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Neurology and Cognitive Neuroscience, having authored 33 papers that have together received 384 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Brain Tumor Detection and Classification (5 papers), Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (4 papers), COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Image Retrieval and Classification Techniques (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Neurology (53 citations), Computer Vision and Pattern Recognition (126 citations), Media Technology (29 citations), Cognitive Neuroscience (54 citations) and Biophysics (16 citations). S. N. Kumar has collaborated with scholars based in India, Malaysia and United States. Frequent co-authors include A. Lenin Fred, Sujatha Krishnamoorthy, A. Ahilan, Gokulnath Chandra Babu, T. Jarin, Priyan Malarvizhi Kumar, C. Agees Kumar, P. Parthasarathy, Gunasekaran Manogaran and Balázs Gulyás. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), IEEE Sensors Journal, Food Biophysics, Multimedia Systems and Journal of Digital Imaging.
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.