Michela Sperti
About
In The Last Decade
Michela Sperti
6 papers receiving 66 citations
Peers
Comparison fields: 5 of 51
- Radiology, Nuclear Medicine and Imaging 22
- Artificial Intelligence 18
- Analytical Chemistry 17
- Infectious Diseases 11
- Biomedical Engineering 9
Countries citing papers authored by Michela Sperti
This map shows the geographic impact of Michela Sperti'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 Michela Sperti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michela Sperti more than expected).
Fields of papers citing papers by Michela Sperti
This network shows the impact of papers produced by Michela Sperti. 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 Michela Sperti. The network helps show where Michela Sperti may publish in the future.
Co-authorship network of co-authors of Michela Sperti
This figure shows the co-authorship network connecting the top 25 collaborators of Michela Sperti. A scholar is included among the top collaborators of Michela Sperti 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 Michela Sperti. Michela Sperti 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 | 7 | |
| 3 | 0 | |
| 4 | 25 | |
| 5 | 1 | |
| 6 | 33 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | Cardiovascular Risk Prediction in Rheumatic Patients by Artificial Intelligence Paradigms | 1 |
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.