Luca Foschini
- Artificial Intelligence top 5%
- Health Informatics top 0.5%
- Radiology, Nuclear Medicine and Imaging
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Co-authors
- Rajesh RanganathNikki MarinsekMarzyeh GhassemiMatthew B. A. McDermottShirly WangLarry A. ChinitzLior JankelsonYuxuan Hu
- Topics
- Influenza Virus Research Studies (6 papers)COVID-19 epidemiological studies (6 papers)Respiratory viral infections research (5 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaDiabetes
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Luca Foschini
27 papers receiving 674 citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 208
- Health Informatics 160
- Radiology, Nuclear Medicine and Imaging 95
- Cardiology and Cardiovascular Medicine 89
- Epidemiology 76
Countries citing papers authored by Luca Foschini
This map shows the geographic impact of Luca Foschini'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 Luca Foschini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Foschini more than expected).
Fields of papers citing papers by Luca Foschini
This network shows the impact of papers produced by Luca Foschini. 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 Luca Foschini. The network helps show where Luca Foschini may publish in the future.
Co-authorship network of co-authors of Luca Foschini
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Foschini. A scholar is included among the top collaborators of Luca Foschini 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 Luca Foschini. Luca Foschini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 16 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 197 | |
| 12 | 90 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 47 | |
| 16 | 13 | |
| 17 | 17 | |
| 18 | Reproducibility in Machine Learning for Health | 3 |
| 19 | 26 | |
| 20 | 3 |
About Luca Foschini
Luca Foschini is a scholar working on Health Informatics, Modeling and Simulation and Applied Psychology, having authored 28 papers that have together received 696 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), COVID-19 epidemiological studies (6 papers) and Respiratory viral infections research (5 papers). The work is most often cited by research in Health Informatics (160 citations), Health Information Management (53 citations) and Family Practice (21 citations). Luca Foschini has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Rajesh Ranganath, Nikki Marinsek, Marzyeh Ghassemi, Matthew B. A. McDermott, Shirly Wang, Larry A. Chinitz, Lior Jankelson, Yuxuan Hu, Roxanne E. Jensen and Christine M. Colvis. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Diabetes.
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.