Dev P. Chakraborty
Impact in
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- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
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- Digital Radiography and Breast Imaging
- Lung Cancer Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 30
- Radiation Dose and Imaging 28
- Medical Imaging Techniques and Applications 22
- Radiology practices and education 19
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- Digital Radiography and Breast Imaging 43
- Co-authors
- I BrezovichLeslie WinterWilliam AtkinsonKevin S. BerbaumGary T. BarnesDouglas M. TuckerG.T BarnesJill E. Jacobs
- Journals
- Medical Physics (20 papers)Radiology (12 papers)Academic Radiology (10 papers)Radiation Protection Dosimetry (5 papers)British Journal of Radiology (4 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Dev P. Chakraborty
108 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Radiology, Nuclear Medicine and Imaging 2.6k
- Pulmonary and Respiratory Medicine 1.8k
- Biomedical Engineering 1.5k
- Artificial Intelligence 1.0k
- Radiation 221
Countries citing papers authored by Dev P. Chakraborty
This map shows the geographic impact of Dev P. Chakraborty'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 Dev P. Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dev P. Chakraborty more than expected).
Fields of papers citing papers by Dev P. Chakraborty
This network shows the impact of papers produced by Dev P. Chakraborty. 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 Dev P. Chakraborty. The network helps show where Dev P. Chakraborty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dev P. Chakraborty, 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 | 2016 | 4 | |
| 2 | 2016 | 9 | |
| 3 | 2013 | 38 | |
| 4 | 2012 | 3 | |
| 5 | 2012 | 0 | |
| 6 | 2012 | 4 | |
| 7 | 2010 | 64 | |
| 8 | 2008 | 16 | |
| 9 | 2008 | 78 | |
| 10 | 2007 | 30 | |
| 11 | 2007 | 67 | |
| 12 | 2005 | 46 | |
| 13 | 2005 | 41 | |
| 14 | 2005 | 43 | |
| 15 | Medical imaging 2003 : Image perception, observer performance, and technology assessment : 18-20 February 2003, San Diego, California, USA | 2003 | 0 |
| 16 | 2002 | 64 | |
| 17 | 2001 | 78 | |
| 18 | 1997 | 23 | |
| 19 | 1995 | 30 | |
| 20 | 1989 | 160 |
About Dev P. Chakraborty
Dev P. Chakraborty is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Statistics, Probability and Uncertainty and Biomedical Engineering, having authored 113 papers that have together received 4.2k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (43 papers), AI in cancer detection (38 papers), Advanced X-ray and CT Imaging (31 papers), Radiomics and Machine Learning in Medical Imaging (30 papers), Radiation Dose and Imaging (28 papers), Medical Imaging Techniques and Applications (22 papers), Radiology practices and education (19 papers) and Global Cancer Incidence and Screening (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.6k citations), Pulmonary and Respiratory Medicine (1.8k citations), Biomedical Engineering (1.5k citations), Artificial Intelligence (1.0k citations) and Radiation (221 citations). Dev P. Chakraborty has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include I Brezovich, Leslie Winter, William Atkinson, Kevin S. Berbaum, Gary T. Barnes, Douglas M. Tucker, G.T Barnes, Jill E. Jacobs, Bernard A. Birnbaum and Daniel D. Maki. Their work appears in journals such as Medical Physics, Radiology, Academic Radiology, Radiation Protection Dosimetry and British 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.