L.A. Cappellini
Impact in
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 3
- Cardiac Imaging and Diagnostics 1
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- Medical Imaging and Analysis 2
- Advanced X-ray and CT Imaging 2
- Co-authors
- Arnaldo Stanzione (2 shared papers)Peter M. A. van Ooijen (2 shared papers)Renato Cuocolo (2 shared papers)Tugba Akinci D’Antonoli (1 shared paper)Elmar Kotter (1 shared paper)Salvatore Claudio Fanni (1 shared paper)Armando Ugo Cavallo (1 shared paper)Gaia Spadarella (1 shared paper)
- Journals
- European Radiology (3 papers)Scientific Data (1 paper)Neuro-Oncology (1 paper)Scientific Reports (1 paper)Radiology Cardiothoracic Imaging (1 paper)
- Partner nations
- ItalyGermanyNetherlands
In The Last Decade
L.A. Cappellini
7 papers receiving 61 citations
Peers
Comparison fields: 5 of 19
- Radiology, Nuclear Medicine and Imaging 38
- Health Informatics 2
- Obstetrics and Gynecology 4
- Pulmonary and Respiratory Medicine 14
- Gastroenterology 2
Countries citing papers authored by L.A. Cappellini
This map shows the geographic impact of L.A. Cappellini'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 L.A. Cappellini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.A. Cappellini more than expected).
Fields of papers citing papers by L.A. Cappellini
This network shows the impact of papers produced by L.A. Cappellini. 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 L.A. Cappellini. The network helps show where L.A. Cappellini may publish in the future.
Co-authors
The 25 scholars most cited alongside L.A. Cappellini, 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 | 2023 | 36 | |
| 2 | 2022 | 16 | |
| 3 | 2021 | 4 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2024 | 1 |
About L.A. Cappellini
L.A. Cappellini is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 7 papers that have together received 61 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging and Analysis (2 papers), Advanced X-ray and CT Imaging (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Aortic Disease and Treatment Approaches (1 paper), Aortic aneurysm repair treatments (1 paper) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (38 citations), Health Informatics (2 citations), Obstetrics and Gynecology (4 citations), Pulmonary and Respiratory Medicine (14 citations) and Gastroenterology (2 citations). L.A. Cappellini has collaborated with scholars based in Italy, Germany and Netherlands. Frequent co-authors include Arnaldo Stanzione, Peter M. A. van Ooijen, Renato Cuocolo, Tugba Akinci D’Antonoli, Elmar Kotter, Salvatore Claudio Fanni, Armando Ugo Cavallo, Gaia Spadarella, Daniel Pinto dos Santos and Ilaria Ambrosini. Their work appears in journals such as European Radiology, Scientific Data, Neuro-Oncology, Scientific Reports and Radiology Cardiothoracic Imaging.
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.