Mannudeep K. Kalra
- Radiology, Nuclear Medicine and Imaging top 0.02%
- Radiation Dose and Imaging 174
- Medical Imaging Techniques and Applications 98
- Radiology practices and education 57
- Radiomics and Machine Learning in Medical Imaging 54
- COVID-19 diagnosis using AI 32
- Cardiac Imaging and Diagnostics 29
- Health Informatics top 0.1%
- Biomedical Engineering top 0.1%
- Advanced X-ray and CT Imaging 178
- Internal Medicine top 1%
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- Lung Cancer Diagnosis and Treatment 37
- Co-authors
- Michael A. BlakeSanjay SainiMichael M. MaherJo-Anne O. ShepardGe WangThomas L. TothSarabjeet SinghSubba R. Digumarthy
- Journals
- Radiology (31 papers)American Journal of Roentgenology (31 papers)Journal of Computer Assisted Tomography (21 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Mannudeep K. Kalra
325 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Radiology, Nuclear Medicine and Imaging 11.2k
- Health Informatics 423
- Biomedical Engineering 7.8k
- Critical Care and Intensive Care Medicine 755
- Internal Medicine 400
Countries citing papers authored by Mannudeep K. Kalra
This map shows the geographic impact of Mannudeep K. Kalra'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 Mannudeep K. Kalra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mannudeep K. Kalra more than expected).
Fields of papers citing papers by Mannudeep K. Kalra
This network shows the impact of papers produced by Mannudeep K. Kalra. 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 Mannudeep K. Kalra. The network helps show where Mannudeep K. Kalra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mannudeep K. Kalra, 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 | 2025 | 0 | |
| 2 | 2025 | 9 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 12 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 86 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 46 | |
| 14 | 2021 | 51 | |
| 15 | 2021 | 30 | |
| 16 | 2020 | 21 | |
| 17 | 2020 | 52 | |
| 18 | 2020 | 42 | |
| 19 | Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Lossbreakdown → | 2018 | 1071 |
| 20 | 2018 | 7 |
About Mannudeep K. Kalra
Mannudeep K. Kalra is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Critical Care and Intensive Care Medicine, having authored 338 papers that have together received 14.9k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (178 papers), Radiation Dose and Imaging (174 papers), Medical Imaging Techniques and Applications (98 papers), Radiology practices and education (57 papers), Radiomics and Machine Learning in Medical Imaging (54 papers), Lung Cancer Diagnosis and Treatment (37 papers), COVID-19 diagnosis using AI (32 papers) and Cardiac Imaging and Diagnostics (29 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (11.2k citations), Health Informatics (423 citations) and Biomedical Engineering (7.8k citations). Mannudeep K. Kalra has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Michael A. Blake, Sanjay Saini, Michael M. Maher, Jo-Anne O. Shepard, Ge Wang, Thomas L. Toth, Sarabjeet Singh, Subba R. Digumarthy, Yi Zhang and Elkan F. Halpern. Their work appears in journals such as Radiology, American Journal of Roentgenology, Journal of Computer Assisted Tomography, Journal of the American College of Radiology and Medical Physics.
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.