Gianluca Geraci
About
In The Last Decade
Gianluca Geraci
48 papers receiving 409 citations
Peers
Comparison fields: 5 of 62
- Statistics, Probability and Uncertainty 252
- Computational Theory and Mathematics 106
- Statistical and Nonlinear Physics 93
- Aerospace Engineering 81
- Artificial Intelligence 57
Countries citing papers authored by Gianluca Geraci
This map shows the geographic impact of Gianluca Geraci'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 Gianluca Geraci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Geraci more than expected).
Fields of papers citing papers by Gianluca Geraci
This network shows the impact of papers produced by Gianluca Geraci. 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 Gianluca Geraci. The network helps show where Gianluca Geraci may publish in the future.
Co-authorship network of co-authors of Gianluca Geraci
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Geraci. A scholar is included among the top collaborators of Gianluca Geraci 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 Gianluca Geraci. Gianluca Geraci 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 75 | |
| 19 | 30 | |
| 20 | On the use of the Sparse Grid techniques coupled with Polynomial Chaos | 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.