Marco Aiello
- Radiology, Nuclear Medicine and Imaging top 1%
- Cognitive Neuroscience top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Carlo CavaliereMarco SalvatoreEmanuele NicolaiAndrea SoricelliSerena MontiElena SalvatoreMario QuarantelliPeppino Mirabelli
- Topics
- Radiomics and Machine Learning in Medical Imaging (33 papers)Functional Brain Connectivity Studies (30 papers)Advanced Neuroimaging Techniques and Applications (27 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- ItalyUnited StatesCzechia
In The Last Decade
Marco Aiello
122 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 153
- Radiology, Nuclear Medicine and Imaging 1.2k
- Cognitive Neuroscience 577
- Pulmonary and Respiratory Medicine 363
- Surgery 325
- Cardiology and Cardiovascular Medicine 285
Countries citing papers authored by Marco Aiello
This map shows the geographic impact of Marco Aiello'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 Marco Aiello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Aiello more than expected).
Fields of papers citing papers by Marco Aiello
This network shows the impact of papers produced by Marco Aiello. 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 Marco Aiello. The network helps show where Marco Aiello may publish in the future.
Co-authorship network of co-authors of Marco Aiello
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Aiello. A scholar is included among the top collaborators of Marco Aiello 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 Marco Aiello. Marco Aiello 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 | 0 | |
| 4 | 0 | |
| 5 | 34 | |
| 6 | 3 | |
| 7 | 28 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 10 | |
| 14 | 5 | |
| 15 | 28 | |
| 16 | 7 | |
| 17 | 41 | |
| 18 | 50 | |
| 19 | 9 | |
| 20 | 160 |
About Marco Aiello
Marco Aiello is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Health Informatics, having authored 129 papers that have together received 2.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (33 papers), Functional Brain Connectivity Studies (30 papers) and Advanced Neuroimaging Techniques and Applications (27 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Health Informatics (47 citations) and Cognitive Neuroscience (577 citations). Marco Aiello has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Carlo Cavaliere, Marco Salvatore, Emanuele Nicolai, Andrea Soricelli, Serena Monti, Elena Salvatore, Mario Quarantelli, Peppino Mirabelli, Onofrio A. Catalano and Mariarosaria Incoronato. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology 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.