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
-
- AI in cancer detection 17
- Co-authors
- S Aswathy (4 shared papers)M. Anand (3 shared papers)C. S. (1 shared paper)Dinesh Kumar (1 shared paper)Chandra Kambhamettu (1 shared paper)Ravi Kumar (1 shared paper)Nilesh Chothani (5 shared papers)Raghavan Kumar (1 shared paper)
- Journals
- Indian Journal of Science and Technology (3 papers)International Journal of Imaging Systems and Technology (3 papers)Computers & Electrical Engineering (3 papers)Biomedical Signal Processing and Control (3 papers)Multimedia Tools and Applications (2 papers)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
S. S. Kumar
69 papers receiving 843 citations
Peers
Comparison fields: 5 of 95
- Neurology 183
- Computer Vision and Pattern Recognition 357
- Radiology, Nuclear Medicine and Imaging 343
- Artificial Intelligence 321
- Media Technology 77
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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 78 | |
| 2 | 2021 | 64 | |
| 3 | 2013 | 58 | |
| 4 | 2011 | 53 | |
| 5 | 2011 | 42 | |
| 6 | 2023 | 40 | |
| 7 | 2016 | 39 | |
| 8 | 2021 | 32 | |
| 9 | 2023 | 31 | |
| 10 | 2018 | 30 | |
| 11 | 2014 | 29 | |
| 12 | 2014 | 27 | |
| 13 | 2021 | 26 | |
| 14 | 2023 | 24 | |
| 15 | 2010 | 23 | |
| 16 | 2006 | 19 | |
| 17 | 2012 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2008 | 16 | |
| 20 | 2020 | 15 |
About S. S. Kumar
S. S. Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 82 papers that have together received 922 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (19 papers), Medical Image Segmentation Techniques (19 papers), AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Non-Destructive Testing Techniques (7 papers), Advanced Image Fusion Techniques (7 papers), Lung Cancer Diagnosis and Treatment (7 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Neurology (183 citations), Computer Vision and Pattern Recognition (357 citations), Radiology, Nuclear Medicine and Imaging (343 citations), Artificial Intelligence (321 citations) and Media Technology (77 citations). S. S. Kumar has collaborated with scholars based in India, Germany and United States. Frequent co-authors include S Aswathy, M. Anand, C. S., Dinesh Kumar, Chandra Kambhamettu, Ravi Kumar, Nilesh Chothani, Raghavan Kumar, Jimit Shah and J.K. Chakravartty. Their work appears in journals such as Indian Journal of Science and Technology, International Journal of Imaging Systems and Technology, Computers & Electrical Engineering, Biomedical Signal Processing and Control 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.