Fabio Bellavia
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Ocean Engineering top 10%
- Geology top 10%
- Media Technology top 10%
- Co-authors
- Carlo ColomboDomenico TegoloCesare ValentiMarco FanfaniAlessandro PivaDmytro MishkinFabio RemondinoMassimo Iuliani
- Topics
- Advanced Image and Video Retrieval Techniques (20 papers)Robotics and Sensor-Based Localization (17 papers)Advanced Vision and Imaging (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Fabio Bellavia
31 papers receiving 345 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 273
- Aerospace Engineering 175
- Ocean Engineering 44
- Geology 39
- Media Technology 27
Countries citing papers authored by Fabio Bellavia
This map shows the geographic impact of Fabio Bellavia'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 Fabio Bellavia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Bellavia more than expected).
Fields of papers citing papers by Fabio Bellavia
This network shows the impact of papers produced by Fabio Bellavia. 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 Fabio Bellavia. The network helps show where Fabio Bellavia may publish in the future.
Co-authorship network of co-authors of Fabio Bellavia
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Bellavia. A scholar is included among the top collaborators of Fabio Bellavia 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 Fabio Bellavia. Fabio Bellavia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 18 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 29 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | Dissecting and Reassembling Color Correction Algorithms for Image Stitching | 1 |
| 11 | 32 | |
| 12 | 18 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 50 | |
| 17 | 3 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | Underwater archaeological mosaicing | 1 |
About Fabio Bellavia
Fabio Bellavia is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 31 papers that have together received 360 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (20 papers), Robotics and Sensor-Based Localization (17 papers) and Advanced Vision and Imaging (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (273 citations), Aerospace Engineering (175 citations) and Geology (39 citations). Fabio Bellavia has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Carlo Colombo, Domenico Tegolo, Cesare Valenti, Marco Fanfani, Alessandro Piva, Dmytro Mishkin, Fabio Remondino, Massimo Iuliani, Fabio Menna and Carmen Alina Lupaşcu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.