G. Torrioli
About
In The Last Decade
G. Torrioli
100 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Atomic and Molecular Physics, and Optics 456
- Cognitive Neuroscience 311
- Condensed Matter Physics 240
- Electrical and Electronic Engineering 205
- Artificial Intelligence 194
Countries citing papers authored by G. Torrioli
This map shows the geographic impact of G. Torrioli'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 G. Torrioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Torrioli more than expected).
Fields of papers citing papers by G. Torrioli
This network shows the impact of papers produced by G. Torrioli. 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 G. Torrioli. The network helps show where G. Torrioli may publish in the future.
Co-authorship network of co-authors of G. Torrioli
This figure shows the co-authorship network connecting the top 25 collaborators of G. Torrioli. A scholar is included among the top collaborators of G. Torrioli 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 G. Torrioli. G. Torrioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 28 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 45 | |
| 15 | A 28 channel neuromagnetometer | 1 |
| 16 | 10 | |
| 17 | 66 | |
| 18 | 4 | |
| 19 | 47 | |
| 20 | 23 |
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.