Davide Bianchi
About
In The Last Decade
Davide Bianchi
15 papers receiving 95 citations
Peers
Comparison fields: 5 of 42
- Mathematical Physics 49
- Computational Mechanics 34
- Computer Vision and Pattern Recognition 26
- Applied Mathematics 25
- Computational Theory and Mathematics 24
Countries citing papers authored by Davide Bianchi
This map shows the geographic impact of Davide Bianchi'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 Davide Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Bianchi more than expected).
Fields of papers citing papers by Davide Bianchi
This network shows the impact of papers produced by Davide Bianchi. 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 Davide Bianchi. The network helps show where Davide Bianchi may publish in the future.
Co-authorship network of co-authors of Davide Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Bianchi. A scholar is included among the top collaborators of Davide Bianchi 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 Davide Bianchi. Davide Bianchi 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 | 3 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 22 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 4 |
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.