Giuseppe Coppini
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
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- Medical Image Segmentation Techniques
Papers in
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- Medical Image Segmentation Techniques 14
- Image and Signal Denoising Methods 5
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 4
- Co-authors
- G. Valli (26 shared papers)Riccardo Poli (9 shared papers)A. Colantuoni (4 shared papers)S. Bertuglia (4 shared papers)Leonardo Bocchi (2 shared papers)Marcos Intaglietta (1 shared paper)Stefano Cagnoni (5 shared papers)Stefano Diciotti (4 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (3 papers)Computer (1 paper)Pattern Recognition Letters (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Applied Sciences (1 paper)
- Partner nations
- ItalySwedenUnited Kingdom
In The Last Decade
Giuseppe Coppini
50 papers receiving 849 citations
Peers
Comparison fields: 5 of 114
- Radiology, Nuclear Medicine and Imaging 295
- Computer Vision and Pattern Recognition 288
- Cardiology and Cardiovascular Medicine 180
- Artificial Intelligence 216
- Health Information Management 28
Countries citing papers authored by Giuseppe Coppini
This map shows the geographic impact of Giuseppe Coppini'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 Giuseppe Coppini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Coppini more than expected).
Fields of papers citing papers by Giuseppe Coppini
This network shows the impact of papers produced by Giuseppe Coppini. 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 Giuseppe Coppini. The network helps show where Giuseppe Coppini may publish in the future.
Co-authors
The 25 scholars most cited alongside Giuseppe Coppini, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 99 | |
| 2 | 1991 | 85 | |
| 3 | 2004 | 82 | |
| 4 | 2003 | 76 | |
| 5 | 1995 | 76 | |
| 6 | 2018 | 44 | |
| 7 | 2012 | 32 | |
| 8 | 2010 | 31 | |
| 9 | 2015 | 31 | |
| 10 | 2006 | 25 | |
| 11 | 1995 | 24 | |
| 12 | 2009 | 24 | |
| 13 | 1993 | 21 | |
| 14 | 1997 | 21 | |
| 15 | 1991 | 20 | |
| 16 | 1993 | 20 | |
| 17 | 1994 | 18 | |
| 18 | 1990 | 15 | |
| 19 | 1992 | 14 | |
| 20 | 1999 | 12 |
About Giuseppe Coppini
Giuseppe Coppini is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 906 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Neural Networks and Applications (6 papers), Cardiovascular Health and Disease Prevention (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Image and Signal Denoising Methods (5 papers), AI in cancer detection (4 papers), Medical Imaging Techniques and Applications (4 papers) and Cardiovascular Disease and Adiposity (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (295 citations), Computer Vision and Pattern Recognition (288 citations), Cardiology and Cardiovascular Medicine (180 citations), Artificial Intelligence (216 citations) and Health Information Management (28 citations). Giuseppe Coppini has collaborated with scholars based in Italy, Sweden and United Kingdom. Frequent co-authors include G. Valli, Riccardo Poli, A. Colantuoni, S. Bertuglia, Leonardo Bocchi, Marcos Intaglietta, Stefano Cagnoni, Stefano Diciotti, Jacopo Nori and Massimo Falchini. Their work appears in journals such as IEEE Transactions on Medical Imaging, Computer, Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Sciences.
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.