J. Dheeba
Impact in
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- Artificial Intelligence in Healthcare
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- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- Infrared Thermography in Medicine
Papers in
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- AI in cancer detection 12
- Neural Networks and Applications 5
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- Image Retrieval and Classification Techniques 4
- Digital Imaging for Blood Diseases 3
- Co-authors
- S. Tamil Selvi (7 shared papers)Nikita Singh (6 shared papers)T. Jaya (2 shared papers)C. Sathiya Kumar (1 shared paper)R. Raja Singh (2 shared papers)S. Murali (1 shared paper)
- Journals
- Journal of Medical Systems (2 papers)Wireless Personal Communications (1 paper)Journal of Digital Imaging (1 paper)Journal of Biomedical Informatics (1 paper)Indian Journal of Science and Technology (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
J. Dheeba
28 papers receiving 545 citations
Peers
Comparison fields: 5 of 84
- Health Information Management 68
- Radiology, Nuclear Medicine and Imaging 250
- Health Informatics 15
- Artificial Intelligence 377
- Computer Vision and Pattern Recognition 223
Countries citing papers authored by J. Dheeba
This map shows the geographic impact of J. Dheeba'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 J. Dheeba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Dheeba more than expected).
Fields of papers citing papers by J. Dheeba
This network shows the impact of papers produced by J. Dheeba. 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 J. Dheeba. The network helps show where J. Dheeba may publish in the future.
Co-authors
The 6 scholars most cited alongside J. Dheeba, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 309 | |
| 2 | 2015 | 61 | |
| 3 | 2011 | 40 | |
| 4 | 2011 | 37 | |
| 5 | 2011 | 22 | |
| 6 | 2015 | 14 | |
| 7 | 2011 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2010 | 12 | |
| 10 | 2024 | 10 | |
| 11 | 2014 | 8 | |
| 12 | 2007 | 6 | |
| 13 | 2013 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2019 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2015 | 3 |
About J. Dheeba
J. Dheeba is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Neurology and Computer Networks and Communications, having authored 34 papers that have together received 595 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Brain Tumor Detection and Classification (5 papers), Neural Networks and Applications (5 papers), Retinal Imaging and Analysis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Image Retrieval and Classification Techniques (4 papers), Digital Imaging for Blood Diseases (3 papers) and Cutaneous Melanoma Detection and Management (3 papers). The work is most often cited by research in Health Information Management (68 citations), Radiology, Nuclear Medicine and Imaging (250 citations), Health Informatics (15 citations), Artificial Intelligence (377 citations) and Computer Vision and Pattern Recognition (223 citations). J. Dheeba has collaborated with scholars based in India, United States and Germany. Frequent co-authors include S. Tamil Selvi, Nikita Singh, T. Jaya, C. Sathiya Kumar, R. Raja Singh and S. Murali. Their work appears in journals such as Journal of Medical Systems, Wireless Personal Communications, Journal of Digital Imaging, Journal of Biomedical Informatics and Indian Journal of Science and Technology.
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.