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
- Radiology practices and education
- Health Informatics top 2%
Papers in
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- Radiation Dose and Imaging 25
- Medical Imaging Techniques and Applications 15
- Radiology practices and education 6
- Radiomics and Machine Learning in Medical Imaging 4
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- Advanced X-ray and CT Imaging 23
- 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)Fatemeh Homayounieh (2 shared papers)Chayanin Nitiwarangkul (2 shared papers)Uwe Krüger (1 shared paper)Ge Wang (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 StatesItalyThailand
In The Last Decade
Atul Padole
32 papers receiving 1.3k citations
Atul Padole's Hit Papers
Peers
Comparison fields: 5 of 84
- Radiology, Nuclear Medicine and Imaging 1.1k
- Health Informatics 50
- Biomedical Engineering 701
- Pulmonary and Respiratory Medicine 324
- Critical Care and Intensive Care Medicine 46
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 | 280 |
| 2 | 2015 | 169 | |
| 3 | 2018 | 143 | |
| 4 | 2019 | 70 | |
| 5 | 2014 | 62 | |
| 6 | 2014 | 49 | |
| 7 | 2014 | 45 | |
| 8 | 2014 | 40 | |
| 9 | 2014 | 40 | |
| 10 | 2019 | 39 | |
| 11 | 2018 | 35 | |
| 12 | 2013 | 28 | |
| 13 | 2015 | 25 | |
| 14 | 2014 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2014 | 21 | |
| 17 | 2019 | 20 | |
| 18 | 2017 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2013 | 15 |
About Atul Padole
Atul Padole is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Radiation and Critical Care and Intensive Care Medicine, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (25 papers), Advanced X-ray and CT Imaging (23 papers), Medical Imaging Techniques and Applications (15 papers), Radiology practices and education (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Health Informatics (50 citations), Biomedical Engineering (701 citations), Pulmonary and Respiratory Medicine (324 citations) and Critical Care and Intensive Care Medicine (46 citations). Atul Padole has collaborated with scholars based in United States, Italy and Thailand. Frequent co-authors include Mannudeep K. Kalra, Sarabjeet Singh, Ranish Deedar Ali Khawaja, Subba R. Digumarthy, Fatemeh Homayounieh, Chayanin Nitiwarangkul, Uwe Krüger, Ge Wang, Ruhani Doda Khera and Hongming Shan. 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.