Francesco Leotta
About
In The Last Decade
Francesco Leotta
45 papers receiving 724 citations
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 479
- Cellular and Molecular Neuroscience 286
- Human-Computer Interaction 169
- Management Information Systems 80
- Biomedical Engineering 78
Countries citing papers authored by Francesco Leotta
This map shows the geographic impact of Francesco Leotta'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 Francesco Leotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Leotta more than expected).
Fields of papers citing papers by Francesco Leotta
This network shows the impact of papers produced by Francesco Leotta. 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 Francesco Leotta. The network helps show where Francesco Leotta may publish in the future.
Co-authorship network of co-authors of Francesco Leotta
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Leotta. A scholar is included among the top collaborators of Francesco Leotta 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 Francesco Leotta. Francesco Leotta 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 | 6 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | Exploring the Historical Context of Graphic Symbols: the NOTAE Knowledge Graph and its Visual Interface. | 1 |
| 12 | Performance Model’s development: A novel approach encompassing ontology-based data access and visual analytics | 2 |
| 13 | Chatbots as a Novel Access Method for Government Open Data. | 2 |
| 14 | 13 | |
| 15 | 45 | |
| 16 | 6 | |
| 17 | 85 | |
| 18 | 68 | |
| 19 | 84 | |
| 20 | 70 |
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.