Matthew A. Kupinski
- Radiology, Nuclear Medicine and Imaging top 1%
- Biomedical Engineering top 5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Radiation top 2%
- Co-authors
- Harrison H. BarrettMaryellen L. GigerEric ClarksonLars R. FurenlidDarrin C. EdwardsCharles E. MetzDonald W. WilsonAbhinav K. Jha
- Topics
- Medical Imaging Techniques and Applications (58 papers)Advanced X-ray and CT Imaging (23 papers)Advanced MRI Techniques and Applications (19 papers)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Matthew A. Kupinski
114 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 123
- Radiology, Nuclear Medicine and Imaging 1.4k
- Biomedical Engineering 698
- Artificial Intelligence 640
- Computer Vision and Pattern Recognition 416
- Radiation 284
Countries citing papers authored by Matthew A. Kupinski
This map shows the geographic impact of Matthew A. Kupinski'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 Matthew A. Kupinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Kupinski more than expected).
Fields of papers citing papers by Matthew A. Kupinski
This network shows the impact of papers produced by Matthew A. Kupinski. 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 Matthew A. Kupinski. The network helps show where Matthew A. Kupinski may publish in the future.
Co-authorship network of co-authors of Matthew A. Kupinski
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Kupinski. A scholar is included among the top collaborators of Matthew A. Kupinski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew A. Kupinski. Matthew A. Kupinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 14 | |
| 12 | 46 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 53 | |
| 16 | 178 | |
| 17 | 53 | |
| 18 | 37 | |
| 19 | 194 | |
| 20 | Investigation of regularized neural networks for the computerized detection of mass lesions in digital mammograms | 3 |
About Matthew A. Kupinski
Matthew A. Kupinski is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biophysics, having authored 125 papers that have together received 2.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (58 papers), Advanced X-ray and CT Imaging (23 papers) and Advanced MRI Techniques and Applications (19 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Radiation (284 citations) and Computer Vision and Pattern Recognition (416 citations). Matthew A. Kupinski has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Harrison H. Barrett, Maryellen L. Giger, Eric Clarkson, Lars R. Furenlid, Darrin C. Edwards, Charles E. Metz, Donald W. Wilson, Abhinav K. Jha, Jacob Hesterman and Mark A. Anastasio. Their work appears in journals such as Cancer Research, Proceedings of the IEEE and Scientific Reports.
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.