Fabrizio Falchi
About
In The Last Decade
Fabrizio Falchi
106 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 987
- Artificial Intelligence 627
- Building and Construction 335
- Media Technology 269
- Signal Processing 253
Countries citing papers authored by Fabrizio Falchi
This map shows the geographic impact of Fabrizio Falchi'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 Fabrizio Falchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Falchi more than expected).
Fields of papers citing papers by Fabrizio Falchi
This network shows the impact of papers produced by Fabrizio Falchi. 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 Fabrizio Falchi. The network helps show where Fabrizio Falchi may publish in the future.
Co-authorship network of co-authors of Fabrizio Falchi
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Falchi. A scholar is included among the top collaborators of Fabrizio Falchi 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 Fabrizio Falchi. Fabrizio Falchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 34 | |
| 14 | 88 | |
| 15 | 5 | |
| 16 | 22 | |
| 17 | 34 | |
| 18 | About Deep Learning, Intuition and Thinking. | 1 |
| 19 | Detecting Adversarial Inputs by Looking in the Black Box. | 1 |
| 20 | Counting Vehicles with Cameras. | 14 |
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.