Kumar Rajamani
Impact in
-
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Internal Medicine top 10%
Papers in
-
- Medical Image Segmentation Techniques 13
- Digital Imaging for Blood Diseases 6
- Advanced Neural Network Applications 5
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- Retinal Imaging and Analysis 8
- COVID-19 diagnosis using AI 6
- Co-authors
- Martin Styner (11 shared papers)Lutz‐Peter Nolte (3 shared papers)Chris Taylor (1 shared paper)Gábor Székely (1 shared paper)Rhodri Davies (1 shared paper)Miguel Á. González Ballester (7 shared papers)V. L. Lajish (5 shared papers)Guoyan Zheng (3 shared papers)
- Journals
- Journal of the Neurological Sciences (3 papers)Multimedia Tools and Applications (2 papers)New England Journal of Medicine (2 papers)Computer Aided Surgery (2 papers)Journal of Stroke and Cerebrovascular Diseases (2 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Kumar Rajamani
59 papers receiving 844 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 361
- Internal Medicine 53
- Neurology 74
- Rehabilitation 54
- Geometry and Topology 66
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 211 | |
| 2 | 2007 | 86 | |
| 3 | 2000 | 57 | |
| 4 | 2007 | 40 | |
| 5 | 2011 | 40 | |
| 6 | 2022 | 34 | |
| 7 | 2021 | 34 | |
| 8 | 2016 | 33 | |
| 9 | 2017 | 26 | |
| 10 | 2005 | 23 | |
| 11 | 2015 | 22 | |
| 12 | 2011 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2004 | 18 | |
| 15 | 2012 | 16 | |
| 16 | 2005 | 14 | |
| 17 | 2005 | 12 | |
| 18 | 2016 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2016 | 11 |
About Kumar Rajamani
Kumar Rajamani is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Artificial Intelligence and Biomedical Engineering, having authored 64 papers that have together received 894 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), 3D Shape Modeling and Analysis (8 papers), Medical Imaging and Analysis (8 papers), Retinal Imaging and Analysis (8 papers), COVID-19 diagnosis using AI (6 papers), Digital Imaging for Blood Diseases (6 papers), AI in cancer detection (6 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (361 citations), Internal Medicine (53 citations), Neurology (74 citations), Rehabilitation (54 citations) and Geometry and Topology (66 citations). Kumar Rajamani has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Martin Styner, Lutz‐Peter Nolte, Chris Taylor, Gábor Székely, Rhodri Davies, Miguel Á. González Ballester, V. L. Lajish, Guoyan Zheng, Lutz P. Nolte and Mattias P. Heinrich. Their work appears in journals such as Journal of the Neurological Sciences, Multimedia Tools and Applications, New England Journal of Medicine, Computer Aided Surgery and Journal of Stroke and Cerebrovascular Diseases.
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.