Kumar Rajamani
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
-
- Medical Image Segmentation Techniques 14
- Digital Imaging for Blood Diseases 8
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- Retinal Imaging and Analysis 10
- COVID-19 diagnosis using AI 6
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Martin Styner (12 shared papers)Lutz‐Peter Nolte (4 shared papers)Rhodri Davies (1 shared paper)Chris Taylor (1 shared paper)Gábor Székely (1 shared paper)Miguel Á. González Ballester (7 shared papers)Guoyan Zheng (4 shared papers)Lutz P. Nolte (3 shared papers)
- Journals
- Journal of the Neurological Sciences (3 papers)Journal of Stroke and Cerebrovascular Diseases (2 papers)New England Journal of Medicine (2 papers)Computer Aided Surgery (2 papers)Multimedia Tools and Applications (2 papers)
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Kumar Rajamani
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 473
- Neurology 86
- Computational Mechanics 194
- Geometry and Topology 73
- Internal Medicine 24
Countries citing papers authored by Kumar Rajamani
This map shows the geographic impact of Kumar Rajamani'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 Kumar Rajamani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Rajamani more than expected).
Fields of papers citing papers by Kumar Rajamani
This network shows the impact of papers produced by Kumar Rajamani. 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 Kumar Rajamani. The network helps show where Kumar Rajamani may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Rajamani, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 246 | |
| 2 | 2007 | 107 | |
| 3 | 2000 | 61 | |
| 4 | 2007 | 44 | |
| 5 | 2011 | 41 | |
| 6 | 2016 | 39 | |
| 7 | 2022 | 37 | |
| 8 | 2021 | 36 | |
| 9 | 2005 | 31 | |
| 10 | 2016 | 31 | |
| 11 | 2015 | 28 | |
| 12 | 2017 | 26 | |
| 13 | 2004 | 22 | |
| 14 | 2011 | 20 | |
| 15 | 2021 | 19 | |
| 16 | 2006 | 19 | |
| 17 | 2005 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2005 | 17 | |
| 20 | 2012 | 16 |
About Kumar Rajamani
Kumar Rajamani is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computational Mechanics and Biomedical Engineering, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Retinal Imaging and Analysis (10 papers), 3D Shape Modeling and Analysis (10 papers), Digital Imaging for Blood Diseases (8 papers), Medical Imaging and Analysis (8 papers), AI in cancer detection (7 papers), COVID-19 diagnosis using AI (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (473 citations), Neurology (86 citations), Computational Mechanics (194 citations), Geometry and Topology (73 citations) and Internal Medicine (24 citations). Kumar Rajamani has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Martin Styner, Lutz‐Peter Nolte, Rhodri Davies, Chris Taylor, Gábor Székely, Miguel Á. González Ballester, Guoyan Zheng, Lutz P. Nolte, V. L. Lajish and Mark Fisher. Their work appears in journals such as Journal of the Neurological Sciences, Journal of Stroke and Cerebrovascular Diseases, New England Journal of Medicine, Computer Aided Surgery 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.