Federica Arrigoni
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Computational Mechanics
- Geology top 10%
- Artificial Intelligence
- Co-authors
- Andrea FusielloBeatrice RossiPasqualina FragnetoEleonora MasetElisa RicciTomáš PajdlaLuca MagriEnrico Fini
- Topics
- Advanced Vision and Imaging (13 papers)Robotics and Sensor-Based Localization (10 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer Vision
- Partner nations
- ItalyCzechiaUnited States
In The Last Decade
Federica Arrigoni
22 papers receiving 216 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 156
- Aerospace Engineering 75
- Computational Mechanics 59
- Geology 33
- Artificial Intelligence 29
Countries citing papers authored by Federica Arrigoni
This map shows the geographic impact of Federica Arrigoni'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 Federica Arrigoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Arrigoni more than expected).
Fields of papers citing papers by Federica Arrigoni
This network shows the impact of papers produced by Federica Arrigoni. 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 Federica Arrigoni. The network helps show where Federica Arrigoni may publish in the future.
Co-authorship network of co-authors of Federica Arrigoni
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Arrigoni. A scholar is included among the top collaborators of Federica Arrigoni 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 Federica Arrigoni. Federica Arrigoni 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 9 | |
| 16 | 32 | |
| 17 | 39 | |
| 18 | 14 | |
| 19 | 6 | |
| 20 | 25 |
About Federica Arrigoni
Federica Arrigoni is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 23 papers that have together received 217 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (10 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Geology (33 citations) and Aerospace Engineering (75 citations). Federica Arrigoni has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Andrea Fusiello, Beatrice Rossi, Pasqualina Fragneto, Eleonora Maset, Elisa Ricci, Tomáš Pajdla, Luca Magri, Enrico Fini, Cigdem Beyan and Leonidas Guibas. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.
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.