Atul Padole
Impact in
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- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Radiation Dose and Imaging 19
- Medical Imaging Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 4
- Autopsy Techniques and Outcomes 1
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- Advanced X-ray and CT Imaging 8
- Co-authors
- Mannudeep K. Kalra (29 shared papers)Sarabjeet Singh (19 shared papers)Ranish Deedar Ali Khawaja (18 shared papers)Subba R. Digumarthy (13 shared papers)Chayanin Nitiwarangkul (2 shared papers)Fatemeh Homayounieh (2 shared papers)Hongming Shan (1 shared paper)Uwe Krüger (1 shared paper)
- Journals
- Journal of Computer Assisted Tomography (5 papers)American Journal of Roentgenology (4 papers)Medical Physics (2 papers)Medicine (2 papers)European Journal of Radiology (2 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Atul Padole
33 papers receiving 1.3k citations
Atul Padole's Hit Papers
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 823
- Health Informatics 46
- Biomedical Engineering 422
- Pulmonary and Respiratory Medicine 197
- Critical Care and Intensive Care Medicine 23
Countries citing papers authored by Atul Padole
This map shows the geographic impact of Atul Padole'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 Atul Padole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atul Padole more than expected).
Fields of papers citing papers by Atul Padole
This network shows the impact of papers produced by Atul Padole. 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 Atul Padole. The network helps show where Atul Padole may publish in the future.
Co-authors
The 25 scholars most cited alongside Atul Padole, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction Hit paper breakdown → | 2019 | 290 |
| 2 | 2015 | 174 | |
| 3 | 2018 | 146 | |
| 4 | 2019 | 71 | |
| 5 | 2014 | 63 | |
| 6 | 2014 | 49 | |
| 7 | 2014 | 45 | |
| 8 | 2019 | 41 | |
| 9 | 2014 | 40 | |
| 10 | 2014 | 40 | |
| 11 | 2018 | 35 | |
| 12 | 2013 | 28 | |
| 13 | 2015 | 26 | |
| 14 | 2019 | 24 | |
| 15 | 2014 | 24 | |
| 16 | 2014 | 21 | |
| 17 | 2019 | 20 | |
| 18 | 2017 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2012 | 15 |
About Atul Padole
Atul Padole is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Pharmaceutical Science and Radiation, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (19 papers), Advanced X-ray and CT Imaging (8 papers), Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Advanced Drug Delivery Systems (1 paper) and Autopsy Techniques and Outcomes (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (823 citations), Health Informatics (46 citations), Biomedical Engineering (422 citations), Pulmonary and Respiratory Medicine (197 citations) and Critical Care and Intensive Care Medicine (23 citations). Atul Padole has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Mannudeep K. Kalra, Sarabjeet Singh, Ranish Deedar Ali Khawaja, Subba R. Digumarthy, Chayanin Nitiwarangkul, Fatemeh Homayounieh, Hongming Shan, Uwe Krüger, Ge Wang and Ruhani Doda Khera. Their work appears in journals such as Journal of Computer Assisted Tomography, American Journal of Roentgenology, Medical Physics, Medicine and European Journal of Radiology.
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.