Michele Larobina
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 10%
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Radiation top 5%
- Co-authors
- Loredana MurinoArturo BrunettiMarco SalvatoreBruno AlfanoMario QuarantelliAndrea CiarmielloSilvana Del VecchioEnrico Tedeschi
- Topics
- Medical Imaging Techniques and Applications (12 papers)Digital Radiography and Breast Imaging (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageOptics Express
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Michele Larobina
29 papers receiving 840 citations
Peers
Comparison fields: 5 of 100
- Radiology, Nuclear Medicine and Imaging 423
- Computer Vision and Pattern Recognition 136
- Pathology and Forensic Medicine 121
- Molecular Biology 112
- Radiation 93
Countries citing papers authored by Michele Larobina
This map shows the geographic impact of Michele Larobina'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 Michele Larobina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Larobina more than expected).
Fields of papers citing papers by Michele Larobina
This network shows the impact of papers produced by Michele Larobina. 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 Michele Larobina. The network helps show where Michele Larobina may publish in the future.
Co-authorship network of co-authors of Michele Larobina
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Larobina. A scholar is included among the top collaborators of Michele Larobina 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 Michele Larobina. Michele Larobina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 154 | |
| 8 | 14 | |
| 9 | 144 | |
| 10 | 28 | |
| 11 | 18 | |
| 12 | 57 | |
| 13 | 1 | |
| 14 | 39 | |
| 15 | 64 | |
| 16 | 45 | |
| 17 | 0 | |
| 18 | 24 | |
| 19 | 4 | |
| 20 | 3 |
About Michele Larobina
Michele Larobina is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Neurology, having authored 30 papers that have together received 861 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Digital Radiography and Breast Imaging (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (423 citations), Radiation (93 citations) and Health Informatics (14 citations). Michele Larobina has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Loredana Murino, Arturo Brunetti, Marco Salvatore, Bruno Alfano, Mario Quarantelli, Andrea Ciarmiello, Silvana Del Vecchio, Enrico Tedeschi, Leonardo Pace and Umberto Amato. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Optics Express.
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.