Pietro Gori
Impact in
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- Glioma Diagnosis and Treatment
Papers in
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- Advanced Neuroimaging Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 4
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- Medical Image Segmentation Techniques 4
- Co-authors
- Isabelle Bloch (16 shared papers)Nathalie Boddaert (4 shared papers)Olivier Colliot (6 shared papers)Sabine Sarnacki (5 shared papers)Stanley Durrleman (6 shared papers)Laureline Berteloot (3 shared papers)Jean-Baptiste Marret (3 shared papers)Cyril Poupon (5 shared papers)
- Journals
- Medical Image Analysis (2 papers)Journal of Digital Imaging (1 paper)NeuroImage (1 paper)IEEE Transactions on Medical Imaging (1 paper)Journal of Crystal Growth (1 paper)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Pietro Gori
26 papers receiving 178 citations
Peers
Comparison fields: 5 of 60
- Computational Mathematics 5
- Genetics 39
- Radiology, Nuclear Medicine and Imaging 72
- Health Informatics 3
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Pietro Gori
This map shows the geographic impact of Pietro Gori'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 Pietro Gori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Gori more than expected).
Fields of papers citing papers by Pietro Gori
This network shows the impact of papers produced by Pietro Gori. 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 Pietro Gori. The network helps show where Pietro Gori may publish in the future.
Co-authors
The 25 scholars most cited alongside Pietro Gori, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 41 | |
| 2 | 2019 | 38 | |
| 3 | 2013 | 15 | |
| 4 | 1988 | 14 | |
| 5 | 2016 | 12 | |
| 6 | 2016 | 9 | |
| 7 | 2021 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2014 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2024 | 1 |
About Pietro Gori
Pietro Gori is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Surgery, having authored 30 papers that have together received 181 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (9 papers), Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Computer Graphics and Visualization Techniques (3 papers), Morphological variations and asymmetry (2 papers) and Semiconductor Quantum Structures and Devices (2 papers). The work is most often cited by research in Computational Mathematics (5 citations), Genetics (39 citations), Radiology, Nuclear Medicine and Imaging (72 citations), Health Informatics (3 citations) and Computer Vision and Pattern Recognition (32 citations). Pietro Gori has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Isabelle Bloch, Nathalie Boddaert, Olivier Colliot, Sabine Sarnacki, Stanley Durrleman, Laureline Berteloot, Jean-Baptiste Marret, Cyril Poupon, Nicholas Ayache and Andreas Hartmann. Their work appears in journals such as Medical Image Analysis, Journal of Digital Imaging, NeuroImage, IEEE Transactions on Medical Imaging and Journal of Crystal Growth.
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.