R.N. Czerwinski
Impact in
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- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
- Image and Object Detection Techniques
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
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- Image and Signal Denoising Methods 3
- Image and Object Detection Techniques 2
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- Flow Measurement and Analysis 4
- Co-authors
- Douglas L. Jones (8 shared papers)William D. O’Brien (5 shared papers)W.D. O’Brien (1 shared paper)Douglas L. Jones (1 shared paper)Randall H. Goldsmith (2 shared papers)Pascal Friederich (1 shared paper)Nathan C. Gianneschi (1 shared paper)Andrew C. Cavell (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Science (1 paper)ACS Central Science (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Signal Processing (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
R.N. Czerwinski
12 papers receiving 326 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 233
- Media Technology 56
- Radiology, Nuclear Medicine and Imaging 98
- Signal Processing 29
- Artificial Intelligence 72
Countries citing papers authored by R.N. Czerwinski
This map shows the geographic impact of R.N. Czerwinski'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 R.N. Czerwinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.N. Czerwinski more than expected).
Fields of papers citing papers by R.N. Czerwinski
This network shows the impact of papers produced by R.N. Czerwinski. 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 R.N. Czerwinski. The network helps show where R.N. Czerwinski may publish in the future.
Co-authors
The 17 scholars most cited alongside R.N. Czerwinski, 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 | 1999 | 117 | |
| 2 | 1998 | 81 | |
| 3 | 1997 | 45 | |
| 4 | 2002 | 39 | |
| 5 | 1995 | 23 | |
| 6 | 1993 | 19 | |
| 7 | 2002 | 15 | |
| 8 | 2025 | 5 | |
| 9 | 1993 | 3 | |
| 10 | 2023 | 2 | |
| 11 | Decision-directed line detection with application to medical ultrasound. | 1996 | 2 |
| 12 | 2005 | 1 | |
| 13 | 2002 | 0 |
About R.N. Czerwinski
R.N. Czerwinski is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Electrical and Electronic Engineering, Civil and Structural Engineering and Control and Systems Engineering, having authored 13 papers that have together received 352 indexed citations. Recurring topics across this work include Flow Measurement and Analysis (4 papers), Image and Signal Denoising Methods (3 papers), Structural Health Monitoring Techniques (3 papers), Machine Fault Diagnosis Techniques (3 papers), Electrical and Bioimpedance Tomography (2 papers), Ultrasound Imaging and Elastography (2 papers), Image and Object Detection Techniques (2 papers) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (233 citations), Media Technology (56 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Signal Processing (29 citations) and Artificial Intelligence (72 citations). R.N. Czerwinski has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Douglas L. Jones, William D. O’Brien, W.D. O’Brien, Douglas L. Jones, Randall H. Goldsmith, Pascal Friederich, Nathan C. Gianneschi, Andrew C. Cavell, Mark C. Hersam and Leroy Cronin. Their work appears in journals such as IEEE Transactions on Medical Imaging, Science, ACS Central Science, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.