Carlo Cavaliere
- Radiology, Nuclear Medicine and Imaging top 1%
- Cognitive Neuroscience top 2%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Marco SalvatoreMarco AielloMichèle PapaGiovanni CirilloMaria Rosaria BiancoEmanuele NicolaiValentina BrancatoSerena Monti
- Topics
- Radiomics and Machine Learning in Medical Imaging (40 papers)Functional Brain Connectivity Studies (27 papers)Medical Imaging Techniques and Applications (22 papers)
- Partner nations
- ItalyCzechiaUnited States
In The Last Decade
Carlo Cavaliere
174 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 152
- Radiology, Nuclear Medicine and Imaging 1.3k
- Cognitive Neuroscience 691
- Molecular Biology 521
- Pulmonary and Respiratory Medicine 476
- Cellular and Molecular Neuroscience 467
Countries citing papers authored by Carlo Cavaliere
This map shows the geographic impact of Carlo Cavaliere'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 Carlo Cavaliere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Cavaliere more than expected).
Fields of papers citing papers by Carlo Cavaliere
This network shows the impact of papers produced by Carlo Cavaliere. 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 Carlo Cavaliere. The network helps show where Carlo Cavaliere may publish in the future.
Co-authorship network of co-authors of Carlo Cavaliere
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Cavaliere. A scholar is included among the top collaborators of Carlo Cavaliere 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 Carlo Cavaliere. Carlo Cavaliere 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 | 1 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 28 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 35 | |
| 14 | 10 | |
| 15 | 9 | |
| 16 | 5 | |
| 17 | 10 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 160 |
About Carlo Cavaliere
Carlo Cavaliere is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Otorhinolaryngology, having authored 179 papers that have together received 3.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (40 papers), Functional Brain Connectivity Studies (27 papers) and Medical Imaging Techniques and Applications (22 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Cognitive Neuroscience (691 citations) and Health Informatics (44 citations). Carlo Cavaliere has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Marco Salvatore, Marco Aiello, Michèle Papa, Giovanni Cirillo, Maria Rosaria Bianco, Emanuele Nicolai, Valentina Brancato, Serena Monti, Teresa Infante and Bruna Punzo. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Neuroscience and PLoS ONE.
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.