Matteo Polsinelli
About
In The Last Decade
Matteo Polsinelli
28 papers receiving 442 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 208
- Artificial Intelligence 149
- Human-Computer Interaction 71
- Computer Vision and Pattern Recognition 59
- Cognitive Neuroscience 49
Countries citing papers authored by Matteo Polsinelli
This map shows the geographic impact of Matteo Polsinelli'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 Matteo Polsinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Polsinelli more than expected).
Fields of papers citing papers by Matteo Polsinelli
This network shows the impact of papers produced by Matteo Polsinelli. 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 Matteo Polsinelli. The network helps show where Matteo Polsinelli may publish in the future.
Co-authorship network of co-authors of Matteo Polsinelli
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Polsinelli. A scholar is included among the top collaborators of Matteo Polsinelli 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 Matteo Polsinelli. Matteo Polsinelli 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 18 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | A light CNN for detecting COVID-19 from CT scans of the chest breakdown → | 222 |
| 16 | 6 | |
| 17 | 65 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 5 |
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.