Floriana Grasso
About
In The Last Decade
Floriana Grasso
45 papers receiving 719 citations
Peers
Comparison fields: 5 of 102
- Social Psychology 277
- Artificial Intelligence 191
- Sociology and Political Science 156
- Infectious Diseases 135
- General Health Professions 118
Countries citing papers authored by Floriana Grasso
This map shows the geographic impact of Floriana Grasso'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 Floriana Grasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Floriana Grasso more than expected).
Fields of papers citing papers by Floriana Grasso
This network shows the impact of papers produced by Floriana Grasso. 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 Floriana Grasso. The network helps show where Floriana Grasso may publish in the future.
Co-authorship network of co-authors of Floriana Grasso
This figure shows the co-authorship network connecting the top 25 collaborators of Floriana Grasso. A scholar is included among the top collaborators of Floriana Grasso 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 Floriana Grasso. Floriana Grasso 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 | 2 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 60 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 27 | |
| 13 | 50 | |
| 14 | 55 | |
| 15 | 18 | |
| 16 | 18 | |
| 17 | Using an ontology conceptualisation method to capture an advice giving system's knowledge | 1 |
| 18 | Affective Natural Language Generation | 4 |
| 19 | 16 | |
| 20 | 22 |
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.