Marta Paiusco
Impact in
- Radiation top 0.5%
- Advanced Radiotherapy Techniques
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
Papers in
- Radiation 34
- Advanced Radiotherapy Techniques 34
-
- Medical Imaging Techniques and Applications 22
- Radiomics and Machine Learning in Medical Imaging 19
- Radiation Dose and Imaging 15
- Co-authors
- Mauro IoriMikko TenhunenA. Van EschD. HuyskensA. ScaggionXavier GeetsAndrea BettinelliDaniela Thorwarth
In The Last Decade
Marta Paiusco
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Radiation 841
- Radiology, Nuclear Medicine and Imaging 832
- Pulmonary and Respiratory Medicine 636
- Otorhinolaryngology 54
- Health Informatics 14
Countries citing papers authored by Marta Paiusco
This map shows the geographic impact of Marta Paiusco'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 Marta Paiusco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Paiusco more than expected).
Fields of papers citing papers by Marta Paiusco
This network shows the impact of papers produced by Marta Paiusco. 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 Marta Paiusco. The network helps show where Marta Paiusco may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Paiusco, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 37 | |
| 12 | 2022 | 21 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 2 | |
| 17 | 2019 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2018 | 69 | |
| 20 | Indications for quality assurance in intensity modulated radiation therapy. | 2009 | 1 |
About Marta Paiusco
Marta Paiusco is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Computational Mathematics, Health Informatics and Pulmonary and Respiratory Medicine, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (34 papers), Advanced X-ray and CT Imaging (23 papers), Medical Imaging Techniques and Applications (22 papers), Radiomics and Machine Learning in Medical Imaging (19 papers), Radiation Dose and Imaging (15 papers), Radiation Therapy and Dosimetry (12 papers), Lung Cancer Diagnosis and Treatment (6 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Radiation (841 citations), Radiology, Nuclear Medicine and Imaging (832 citations), Pulmonary and Respiratory Medicine (636 citations), Otorhinolaryngology (54 citations) and Health Informatics (14 citations). Marta Paiusco has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Mauro Iori, Mikko Tenhunen, A. Van Esch, D. Huyskens, A. Scaggion, Xavier Geets, Andrea Bettinelli, Daniela Thorwarth, Marco Rossato and Jörg Bohsung. Their work appears in journals such as Physica Medica, Radiotherapy and Oncology, Medical Physics, Scientific Reports and Physics and Imaging in Radiation Oncology.
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.