Federico Pernici
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Geology top 10%
- Co-authors
- Alberto Del BimboCarlo ColomboGiuseppe LisantiFederico BecattiniAndrew D. BagdanovIacopo MasiTsuhan ChenGiuseppe Serra
- Topics
- Advanced Vision and Imaging (19 papers)Video Surveillance and Tracking Methods (12 papers)Advanced Image and Video Retrieval Techniques (12 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Neural Networks and Learning SystemsPattern Recognition Letters
- Partner nations
- ItalyUnited States
In The Last Decade
Federico Pernici
30 papers receiving 384 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 331
- Aerospace Engineering 118
- Artificial Intelligence 57
- Electrical and Electronic Engineering 53
- Geology 42
Countries citing papers authored by Federico Pernici
This map shows the geographic impact of Federico Pernici'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 Federico Pernici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Pernici more than expected).
Fields of papers citing papers by Federico Pernici
This network shows the impact of papers produced by Federico Pernici. 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 Federico Pernici. The network helps show where Federico Pernici may publish in the future.
Co-authorship network of co-authors of Federico Pernici
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Pernici. A scholar is included among the top collaborators of Federico Pernici 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 Federico Pernici. Federico Pernici 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 | 0 | |
| 4 | 5 | |
| 5 | 44 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 73 | |
| 10 | 8 | |
| 11 | 24 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 83 | |
| 19 | 3 | |
| 20 | 13 |
About Federico Pernici
Federico Pernici is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 34 papers that have together received 407 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (19 papers), Video Surveillance and Tracking Methods (12 papers) and Advanced Image and Video Retrieval Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (331 citations), Geology (42 citations) and Instrumentation (19 citations). Federico Pernici has collaborated with scholars based in Italy and United States. Frequent co-authors include Alberto Del Bimbo, Carlo Colombo, Giuseppe Lisanti, Federico Becattini, Andrew D. Bagdanov, Iacopo Masi, Tsuhan Chen, Giuseppe Serra, Marco Cristani and Fernando J. Álvarez. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Pattern Recognition Letters.
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.