S. Giagu
Impact in
-
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- High-Energy Particle Collisions Research
Papers in
-
- Quantum Computing Algorithms and Architecture 3
- Explainable Artificial Intelligence (XAI) 3
-
- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- G. Russo (1 shared paper)M. Fiorini (4 shared papers)F. A. Di Bello (1 shared paper)S. Francescato (1 shared paper)A. Coccaro (1 shared paper)Matteo Valleriani (1 shared paper)Simone Scardapane (3 shared papers)Luca Torresi (1 shared paper)
- Journals
- Physica Medica (2 papers)Machine Learning Science and Technology (2 papers)Scientific Reports (1 paper)Quantum Information Processing (1 paper)Endoscopy (1 paper)
- Partner nations
- ItalySwitzerlandAustralia
In The Last Decade
S. Giagu
21 papers receiving 71 citations
Peers
Comparison fields: 5 of 37
- Nuclear and High Energy Physics 28
- Health Informatics 1
- Astronomy and Astrophysics 11
- Artificial Intelligence 20
- Radiation 5
Countries citing papers authored by S. Giagu
This map shows the geographic impact of S. Giagu'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 S. Giagu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Giagu more than expected).
Fields of papers citing papers by S. Giagu
This network shows the impact of papers produced by S. Giagu. 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 S. Giagu. The network helps show where S. Giagu may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Giagu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 13 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 7 | |
| 4 | 2021 | 7 | |
| 5 | 2023 | 5 | |
| 6 | 2020 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2014 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2014 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About S. Giagu
S. Giagu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics, Pulmonary and Respiratory Medicine and Computer Networks and Communications, having authored 24 papers that have together received 73 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (6 papers), Medical Imaging Techniques and Applications (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Distributed and Parallel Computing Systems (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (28 citations), Health Informatics (1 citation), Astronomy and Astrophysics (11 citations), Artificial Intelligence (20 citations) and Radiation (5 citations). S. Giagu has collaborated with scholars based in Italy, Switzerland and Australia. Frequent co-authors include G. Russo, M. Fiorini, F. A. Di Bello, S. Francescato, A. Coccaro, Matteo Valleriani, Simone Scardapane, Luca Torresi, A. Messina and B. Caccia. Their work appears in journals such as Physica Medica, Machine Learning Science and Technology, Scientific Reports, Quantum Information Processing and Endoscopy.
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.