S. S. Kumar
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
-
- Medical Image Segmentation Techniques 19
- Image Retrieval and Classification Techniques 6
- Neurology 18
- Brain Tumor Detection and Classification 18
- Co-authors
- Ezhil E. Nithila (5 shared papers)R. S. Moni (8 shared papers)S. U. Aswathy (4 shared papers)Manoj Kumar Anand (3 shared papers)Dinesh Kumar (1 shared paper)Chandra Kambhamettu (1 shared paper)Ravi Kumar (1 shared paper)Nilesh Chothani (6 shared papers)
- Journals
- International Journal of Imaging Systems and Technology (3 papers)Indian Journal of Science and Technology (3 papers)Biomedical Signal Processing and Control (3 papers)Computers & Electrical Engineering (3 papers)Multimedia Tools and Applications (2 papers)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
S. S. Kumar
76 papers receiving 977 citations
Peers
Comparison fields: 5 of 100
- Neurology 212
- Computer Vision and Pattern Recognition 390
- Radiology, Nuclear Medicine and Imaging 348
- Artificial Intelligence 349
- Media Technology 81
Countries citing papers authored by S. S. Kumar
This map shows the geographic impact of S. S. 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. S. 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. S. Kumar more than expected).
Fields of papers citing papers by S. S. Kumar
This network shows the impact of papers produced by S. S. 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. S. Kumar. The network helps show where S. S. Kumar may publish in the future.
Co-authors
The 16 scholars most cited alongside S. S. 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2021 | 73 | |
| 3 | 2013 | 64 | |
| 4 | 2011 | 56 | |
| 5 | 2011 | 51 | |
| 6 | 2023 | 50 | |
| 7 | 2023 | 46 | |
| 8 | 2016 | 40 | |
| 9 | 2014 | 37 | |
| 10 | 2018 | 36 | |
| 11 | 2021 | 32 | |
| 12 | 2023 | 31 | |
| 13 | 2014 | 30 | |
| 14 | 2021 | 26 | |
| 15 | 2010 | 25 | |
| 16 | 2006 | 22 | |
| 17 | 2012 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2018 | 19 | |
| 20 | 2014 | 18 |
About S. S. Kumar
S. S. Kumar is a scholar working on Computer Vision and Pattern Recognition, Neurology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Media Technology, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (19 papers), Brain Tumor Detection and Classification (18 papers), AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced Image Fusion Techniques (7 papers), Lung Cancer Diagnosis and Treatment (7 papers), Non-Destructive Testing Techniques (7 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Neurology (212 citations), Computer Vision and Pattern Recognition (390 citations), Radiology, Nuclear Medicine and Imaging (348 citations), Artificial Intelligence (349 citations) and Media Technology (81 citations). S. S. Kumar has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Ezhil E. Nithila, R. S. Moni, S. U. Aswathy, Manoj Kumar Anand, Dinesh Kumar, Chandra Kambhamettu, Ravi Kumar, Nilesh Chothani, Raghavan Kumar and R. Raja Subramanian. Their work appears in journals such as International Journal of Imaging Systems and Technology, Indian Journal of Science and Technology, Biomedical Signal Processing and Control, Computers & Electrical Engineering and Multimedia Tools and Applications.
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.