Roberto Gatta
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 36
- Medical Imaging Techniques and Applications 10
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- Prostate Cancer Treatment and Research 5
- Co-authors
- Vincenzo Valentini (27 shared papers)Andrea Damiani (22 shared papers)N. Dinapoli (18 shared papers)Luca Boldrini (20 shared papers)Jacopo Lenkowicz (11 shared papers)Mauro Vallati (16 shared papers)Carlotta Masciocchi (13 shared papers)Calogero Casà (9 shared papers)
- Journals
- La radiologia medica (5 papers)Cancers (4 papers)Journal of Clinical Medicine (4 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)Radiotherapy and Oncology (3 papers)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Roberto Gatta
73 papers receiving 939 citations
Peers
Comparison fields: 5 of 112
- Health Informatics 38
- Radiology, Nuclear Medicine and Imaging 480
- Management Information Systems 78
- Oncology 233
- Radiation 65
Countries citing papers authored by Roberto Gatta
This map shows the geographic impact of Roberto Gatta'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 Roberto Gatta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Gatta more than expected).
Fields of papers citing papers by Roberto Gatta
This network shows the impact of papers produced by Roberto Gatta. 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 Roberto Gatta. The network helps show where Roberto Gatta may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Gatta, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 100 | |
| 2 | 2020 | 75 | |
| 3 | 2020 | 55 | |
| 4 | 2015 | 49 | |
| 5 | 2020 | 38 | |
| 6 | 2020 | 36 | |
| 7 | 2018 | 33 | |
| 8 | 2016 | 29 | |
| 9 | 2019 | 28 | |
| 10 | 2018 | 27 | |
| 11 | 2015 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2008 | 19 | |
| 14 | 2019 | 19 | |
| 15 | 2017 | 19 | |
| 16 | 2014 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2019 | 14 | |
| 20 | 2018 | 14 |
About Roberto Gatta
Roberto Gatta is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Oncology and Surgery, having authored 83 papers that have together received 942 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (36 papers), Medical Imaging Techniques and Applications (10 papers), Business Process Modeling and Analysis (9 papers), Colorectal Cancer Surgical Treatments (8 papers), Glioma Diagnosis and Treatment (6 papers), Colorectal Cancer Screening and Detection (6 papers), Advanced X-ray and CT Imaging (5 papers) and Prostate Cancer Treatment and Research (5 papers). The work is most often cited by research in Health Informatics (38 citations), Radiology, Nuclear Medicine and Imaging (480 citations), Management Information Systems (78 citations), Oncology (233 citations) and Radiation (65 citations). Roberto Gatta has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Vincenzo Valentini, Andrea Damiani, N. Dinapoli, Luca Boldrini, Jacopo Lenkowicz, Mauro Vallati, Carlotta Masciocchi, Calogero Casà, Giuditta Chiloiro and Johan van Soest. Their work appears in journals such as La radiologia medica, Cancers, Journal of Clinical Medicine, International Journal of Radiation Oncology*Biology*Physics and Radiotherapy and 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.