Massimo Imbriaco
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 5%
- Rheumatology top 10%
- Physiology
- Biomedical Engineering
- Co-authors
- Arnaldo StanzioneRenato CuocoloValeria RomeoAndrea PonsiglioneArturo BrunettiNicola LongoLorenzo UggaSirio Cocozza
- Topics
- Prostate Cancer Diagnosis and Treatment (12 papers)Prostate Cancer Treatment and Research (11 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of RoentgenologyJournal of the Neurological Sciences
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Massimo Imbriaco
29 papers receiving 831 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 475
- Pulmonary and Respiratory Medicine 461
- Rheumatology 132
- Physiology 116
- Biomedical Engineering 74
Countries citing papers authored by Massimo Imbriaco
This map shows the geographic impact of Massimo Imbriaco'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 Massimo Imbriaco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Imbriaco more than expected).
Fields of papers citing papers by Massimo Imbriaco
This network shows the impact of papers produced by Massimo Imbriaco. 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 Massimo Imbriaco. The network helps show where Massimo Imbriaco may publish in the future.
Co-authorship network of co-authors of Massimo Imbriaco
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Imbriaco. A scholar is included among the top collaborators of Massimo Imbriaco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo Imbriaco. Massimo Imbriaco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 11 | |
| 5 | 17 | |
| 6 | 19 | |
| 7 | 33 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 80 | |
| 12 | 59 | |
| 13 | 70 | |
| 14 | 33 | |
| 15 | 3 | |
| 16 | 22 | |
| 17 | 38 | |
| 18 | 30 | |
| 19 | 35 | |
| 20 | 75 |
About Massimo Imbriaco
Massimo Imbriaco is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Physiology, having authored 32 papers that have together received 846 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (12 papers), Prostate Cancer Treatment and Research (11 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (475 citations), Health Informatics (27 citations) and Pulmonary and Respiratory Medicine (461 citations). Massimo Imbriaco has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Arnaldo Stanzione, Renato Cuocolo, Valeria Romeo, Andrea Ponsiglione, Arturo Brunetti, Nicola Longo, Lorenzo Ugga, Sirio Cocozza, Ferdinando Fusco and Mario Petretta. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Journal of the Neurological Sciences.
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.