Zeno Falaschi
- Radiology, Nuclear Medicine and Imaging top 10%
- Infectious Diseases
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Alessandro CarrieroAlessio PaschèPietro DannaLuca SabaDomenico ZagariaRoberto ArioliMichela BariniChiara D. Arru
- Topics
- COVID-19 diagnosis using AI (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)COVID-19 Clinical Research Studies (4 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Journals
- SHILAP Revista de lepidopterologíaRadiologyEuropean Journal of Radiology
- Partner nations
- ItalyUnited StatesIran
In The Last Decade
Zeno Falaschi
18 papers receiving 257 citations
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 158
- Infectious Diseases 67
- Pulmonary and Respiratory Medicine 53
- Artificial Intelligence 42
- Biomedical Engineering 33
Countries citing papers authored by Zeno Falaschi
This map shows the geographic impact of Zeno Falaschi'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 Zeno Falaschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeno Falaschi more than expected).
Fields of papers citing papers by Zeno Falaschi
This network shows the impact of papers produced by Zeno Falaschi. 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 Zeno Falaschi. The network helps show where Zeno Falaschi may publish in the future.
Co-authorship network of co-authors of Zeno Falaschi
This figure shows the co-authorship network connecting the top 25 collaborators of Zeno Falaschi. A scholar is included among the top collaborators of Zeno Falaschi 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 Zeno Falaschi. Zeno Falaschi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 21 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 46 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 41 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | 50 | |
| 16 | 4 | |
| 17 | 11 | |
| 18 | 7 |
About Zeno Falaschi
Zeno Falaschi is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 18 papers that have together received 260 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (158 citations) and Critical Care and Intensive Care Medicine (24 citations). Zeno Falaschi has collaborated with scholars based in Italy, United States and Iran. Frequent co-authors include Alessandro Carriero, Alessio Paschè, Pietro Danna, Luca Saba, Domenico Zagaria, Roberto Arioli, Michela Barini, Chiara D. Arru, Mannudeep K. Kalra and Stefano Andreoni. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and European Journal of Radiology.
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.