G. Pirrone
- Radiation top 5%
- Radiation Detection and Scintillator Technologies 10
- Advanced Radiotherapy Techniques 7
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging 9
- Medical Imaging Techniques and Applications 8
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- Radiation Therapy and Dosimetry 6
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- Advanced X-ray and CT Imaging 5
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- Particle Detector Development and Performance 5
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- AI in cancer detection 4
G. Pirrone
23 papers receiving 447 citations
Peers
Comparison fields: 5 of 50
- Radiation 166
- Health Informatics 25
- Radiology, Nuclear Medicine and Imaging 341
- Pulmonary and Respiratory Medicine 249
- Biomedical Engineering 98
Countries citing papers authored by G. Pirrone
This map shows the geographic impact of G. Pirrone'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 G. Pirrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Pirrone more than expected).
Fields of papers citing papers by G. Pirrone
This network shows the impact of papers produced by G. Pirrone. 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 G. Pirrone. The network helps show where G. Pirrone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. Pirrone, 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 | 2026 | 0 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 37 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 180 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 1 | |
| 11 | 2019 | 13 | |
| 12 | 2017 | 25 | |
| 13 | 2017 | 12 | |
| 14 | 2016 | 19 | |
| 15 | 2016 | 0 | |
| 16 | 2016 | 1 | |
| 17 | 2014 | 31 | |
| 18 | Monte Carlo simulations for in-beam PET monitoring in hadron-therapy | 2014 | 1 |
| 19 | 2014 | 4 | |
| 20 | [Necrotizing soft tissue infections in intravenous drug users]. | 2009 | 1 |
About G. Pirrone
G. Pirrone is a scholar working on Radiation, Health Informatics, Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 454 indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Medical Imaging Techniques and Applications (8 papers), Advanced Radiotherapy Techniques (7 papers), Radiation Therapy and Dosimetry (6 papers), Particle Detector Development and Performance (5 papers), Advanced X-ray and CT Imaging (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Radiation (166 citations), Health Informatics (25 citations), Radiology, Nuclear Medicine and Imaging (341 citations), Pulmonary and Respiratory Medicine (249 citations) and Biomedical Engineering (98 citations). G. Pirrone has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Michele Avanzo, Joseph Stancanello, Giovanna Sartor, A. Del Guerra, Annalisa Drigo, Issam El Naqa, M. Morrocchi, Marco Trovò, P. Cerello and F. Pennazio. Their work appears in journals such as Radiotherapy and Oncology, Physica Medica, Journal of Instrumentation, Medical Physics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.