Franco Oberti
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Signal Processing
- Computer Networks and Communications
- Co-authors
- Jorge E. CaviedesCarlo S. RegazzoniLucio MarcenaroGian Luca ForestiStefano Di CarloSalvatore CalcagnoAlessandro SavinoErnesto Sánchez
- Topics
- Video Surveillance and Tracking Methods (8 papers)Advanced Vision and Imaging (5 papers)Advanced Data Compression Techniques (4 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Vehicular TechnologySignal Processing Image Communication
- Partner nations
- ItalyNetherlandsFinland
In The Last Decade
Franco Oberti
22 papers receiving 269 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 236
- Media Technology 79
- Artificial Intelligence 34
- Signal Processing 31
- Computer Networks and Communications 29
Countries citing papers authored by Franco Oberti
This map shows the geographic impact of Franco Oberti'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 Franco Oberti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franco Oberti more than expected).
Fields of papers citing papers by Franco Oberti
This network shows the impact of papers produced by Franco Oberti. 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 Franco Oberti. The network helps show where Franco Oberti may publish in the future.
Co-authorship network of co-authors of Franco Oberti
This figure shows the co-authorship network connecting the top 25 collaborators of Franco Oberti. A scholar is included among the top collaborators of Franco Oberti 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 Franco Oberti. Franco Oberti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 33 | |
| 11 | 19 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | 55 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | A neural network approach for moving objects recognition in color image sequences for surveillance applications. | 3 |
| 20 | 23 |
About Franco Oberti
Franco Oberti is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Signal Processing, having authored 25 papers that have together received 291 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Vision and Imaging (5 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (236 citations), Media Technology (79 citations) and Signal Processing (31 citations). Franco Oberti has collaborated with scholars based in Italy, Netherlands and Finland. Frequent co-authors include Jorge E. Caviedes, Carlo S. Regazzoni, Lucio Marcenaro, Gian Luca Foresti, Stefano Di Carlo, Salvatore Calcagno, Alessandro Savino, Ernesto Sánchez, G. Vernazza and Filippo Parisi. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Vehicular Technology and Signal Processing Image Communication.
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.