Daniel J. DeVries
Impact in
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- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Radiation top 10%
Papers in
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- Radioactivity and Radon Measurements 3
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- Radioactive Decay and Measurement Techniques 3
- Co-authors
- Tinsu Pan (1 shared paper)James A. Case (1 shared paper)P. Hendrik Pretorius (1 shared paper)Michelle A. King (1 shared paper)HENRY C. GRIFFIN (3 shared papers)Alastair Charles Cunningham (1 shared paper)Dennis R. Schaart (1 shared paper)Terrence John Udovic (2 shared papers)
- Journals
- Applied Radiation and Isotopes (2 papers)Medical Physics (1 paper)Radiation Measurements (1 paper)Journal of Nuclear Cardiology (1 paper)IEEE Transactions on Nuclear Science (1 paper)
- Partner nations
- United StatesNetherlandsSweden
In The Last Decade
Daniel J. DeVries
11 papers receiving 320 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 173
- Radiation 62
- Radiological and Ultrasound Technology 24
- Biomedical Engineering 84
- Paleontology 13
Countries citing papers authored by Daniel J. DeVries
This map shows the geographic impact of Daniel J. DeVries'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 Daniel J. DeVries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. DeVries more than expected).
Fields of papers citing papers by Daniel J. DeVries
This network shows the impact of papers produced by Daniel J. DeVries. 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 Daniel J. DeVries. The network helps show where Daniel J. DeVries may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. DeVries, 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 | 1997 | 80 | |
| 2 | 1996 | 56 | |
| 3 | 2010 | 50 | |
| 4 | 2012 | 37 | |
| 5 | 1995 | 27 | |
| 6 | 2003 | 23 | |
| 7 | 2007 | 17 | |
| 8 | 2017 | 17 | |
| 9 | 2006 | 8 | |
| 10 | 2013 | 7 | |
| 11 | 2008 | 7 |
About Daniel J. DeVries
Daniel J. DeVries is a scholar working on Radiological and Ultrasound Technology, Radiation, Radiology, Nuclear Medicine and Imaging, Geophysics and Global and Planetary Change, having authored 11 papers that have together received 329 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Radioactive Decay and Measurement Techniques (3 papers), Radioactivity and Radon Measurements (3 papers), Radiation Dose and Imaging (3 papers), Advanced X-ray and CT Imaging (3 papers), Radioactive contamination and transfer (2 papers), Hydrogen Storage and Materials (2 papers) and High-pressure geophysics and materials (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (173 citations), Radiation (62 citations), Radiological and Ultrasound Technology (24 citations), Biomedical Engineering (84 citations) and Paleontology (13 citations). Daniel J. DeVries has collaborated with scholars based in United States, Netherlands and Sweden. Frequent co-authors include Tinsu Pan, James A. Case, P. Hendrik Pretorius, Michelle A. King, HENRY C. GRIFFIN, Alastair Charles Cunningham, Dennis R. Schaart, Terrence John Udovic, Michael R. Hartman and Nina Verdal. Their work appears in journals such as Applied Radiation and Isotopes, Medical Physics, Radiation Measurements, Journal of Nuclear Cardiology and IEEE Transactions on Nuclear Science.
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.