Giorgio Gosti
About
In The Last Decade
Giorgio Gosti
26 papers receiving 303 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 137
- Artificial Intelligence 53
- Infectious Diseases 49
- Cognitive Neuroscience 36
- Computational Theory and Mathematics 24
Countries citing papers authored by Giorgio Gosti
This map shows the geographic impact of Giorgio Gosti'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 Giorgio Gosti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Gosti more than expected).
Fields of papers citing papers by Giorgio Gosti
This network shows the impact of papers produced by Giorgio Gosti. 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 Giorgio Gosti. The network helps show where Giorgio Gosti may publish in the future.
Co-authorship network of co-authors of Giorgio Gosti
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Gosti. A scholar is included among the top collaborators of Giorgio Gosti 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 Giorgio Gosti. Giorgio Gosti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 25 | |
| 7 | 21 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 25 | |
| 14 | 19 | |
| 15 | 8 | |
| 16 | 23 | |
| 17 | 9 | |
| 18 | 31 | |
| 19 | 4 | |
| 20 | 24 |
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.