Devinder Kumar
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Human Pose and Action Recognition 3
- Advanced Vision and Imaging 3
- Video Surveillance and Tracking Methods 3
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- Radiomics and Machine Learning in Medical Imaging 4
- Radiology practices and education 2
- Co-authors
- Alexander Wong (2 shared papers)David A. Clausi (3 shared papers)Graham W. Taylor (2 shared papers)Alexander Wong (3 shared papers)K. Andrea Scott (1 shared paper)Farzad Khalvati (2 shared papers)Masoom A. Haider (2 shared papers)Audrey G. Chung (2 shared papers)
- Journals
- Biological Psychiatry (1 paper)Remote Sensing (1 paper)Springer tracts in advanced robotics (1 paper)IEEE Access (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- CanadaIndiaUnited States
In The Last Decade
Devinder Kumar
18 papers receiving 477 citations
Devinder Kumar's Hit Papers
Peers
Comparison fields: 5 of 76
- Health Informatics 30
- Radiology, Nuclear Medicine and Imaging 296
- Pulmonary and Respiratory Medicine 225
- Artificial Intelligence 179
- Health Information Management 16
Countries citing papers authored by Devinder Kumar
This map shows the geographic impact of Devinder 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 Devinder Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devinder Kumar more than expected).
Fields of papers citing papers by Devinder Kumar
This network shows the impact of papers produced by Devinder 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 Devinder Kumar. The network helps show where Devinder Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Devinder 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
| # | Work | ||
|---|---|---|---|
| 1 | Lung Nodule Classification Using Deep Features in CT Images Hit paper breakdown → | 2015 | 312 |
| 2 | 2017 | 53 | |
| 3 | 2021 | 27 | |
| 4 | 2017 | 27 | |
| 5 | 2019 | 20 | |
| 6 | 2022 | 16 | |
| 7 | 1991 | 13 | |
| 8 | 2023 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2016 | 4 | |
| 11 | 2013 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2012 | 2 | |
| 15 | 2012 | 1 | |
| 16 | 2012 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2025 | 0 | |
| 20 | Understanding Anatomy Classification Through Visualization. | 2016 | 0 |
About Devinder Kumar
Devinder Kumar is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine and Aerospace Engineering, having authored 20 papers that have together received 497 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Human Pose and Action Recognition (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Advanced Vision and Imaging (3 papers), Video Surveillance and Tracking Methods (3 papers), AI in cancer detection (3 papers), Advanced X-ray and CT Imaging (2 papers) and Radiology practices and education (2 papers). The work is most often cited by research in Health Informatics (30 citations), Radiology, Nuclear Medicine and Imaging (296 citations), Pulmonary and Respiratory Medicine (225 citations), Artificial Intelligence (179 citations) and Health Information Management (16 citations). Devinder Kumar has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Alexander Wong, David A. Clausi, Graham W. Taylor, Alexander Wong, K. Andrea Scott, Farzad Khalvati, Masoom A. Haider, Audrey G. Chung, Norman S. Williams and David Waldron. Their work appears in journals such as Biological Psychiatry, Remote Sensing, Springer tracts in advanced robotics, IEEE Access and Biomedical Signal Processing and Control.
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.