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 34
- Medical Imaging Techniques and Applications 9
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- Semantic Web and Ontologies 10
- Co-authors
- Vincenzo Valentini (36 shared papers)Andrea Damiani (30 shared papers)Mauro Vallati (25 shared papers)N. Dinapoli (22 shared papers)Jacopo Lenkowicz (16 shared papers)Luca Boldrini (22 shared papers)Carlotta Masciocchi (16 shared papers)Calogero Casà (9 shared papers)
- Journals
- La radiologia medica (5 papers)Journal of Clinical Medicine (4 papers)International Journal of Radiation Oncology*Biology*Physics (4 papers)Cancers (4 papers)Journal of Hypertension (3 papers)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Roberto Gatta
85 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Health Informatics 37
- Radiology, Nuclear Medicine and Imaging 360
- Management Information Systems 158
- Health Information Management 29
- Oncology 156
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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 102 | |
| 2 | 2020 | 77 | |
| 3 | 2020 | 61 | |
| 4 | 2017 | 50 | |
| 5 | 2015 | 49 | |
| 6 | 2020 | 48 | |
| 7 | 2020 | 46 | |
| 8 | 2018 | 36 | |
| 9 | 2019 | 31 | |
| 10 | 2016 | 30 | |
| 11 | 2018 | 29 | |
| 12 | 2015 | 28 | |
| 13 | 2019 | 27 | |
| 14 | 2021 | 25 | |
| 15 | 2017 | 25 | |
| 16 | 2018 | 20 | |
| 17 | 2018 | 19 | |
| 18 | 2008 | 19 | |
| 19 | 2014 | 18 | |
| 20 | 2020 | 16 |
About Roberto Gatta
Roberto Gatta is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Management Information Systems and Oncology, having authored 101 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (34 papers), Business Process Modeling and Analysis (16 papers), Semantic Web and Ontologies (10 papers), Medical Imaging Techniques and Applications (9 papers), Data Quality and Management (7 papers), Advanced X-ray and CT Imaging (6 papers), Colorectal Cancer Screening and Detection (6 papers) and Blood Pressure and Hypertension Studies (5 papers). The work is most often cited by research in Health Informatics (37 citations), Radiology, Nuclear Medicine and Imaging (360 citations), Management Information Systems (158 citations), Health Information Management (29 citations) and Oncology (156 citations). Roberto Gatta has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Vincenzo Valentini, Andrea Damiani, Mauro Vallati, N. Dinapoli, Jacopo Lenkowicz, Luca Boldrini, Carlotta Masciocchi, Calogero Casà, Carlos Fernández-Llatas and Johan van Soest. Their work appears in journals such as La radiologia medica, Journal of Clinical Medicine, International Journal of Radiation Oncology*Biology*Physics, Cancers and Journal of Hypertension.
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.