Luigi Di Stefano
- Computer Vision and Pattern Recognition top 0.2%
- Aerospace Engineering top 0.2%
- Geology top 0.2%
- Computational Mechanics top 2%
- Media Technology top 0.5%
- Co-authors
- Federico TombariSamuele SaltiStefano MattocciaA. BulgarelliAlessio TonioniPietro AzzariMatteo PoggiAlessandro Bevilacqua
- Topics
- Advanced Vision and Imaging (61 papers)Advanced Image and Video Retrieval Techniques (42 papers)Robotics and Sensor-Based Localization (39 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsIEEE Transactions on Image Processing
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Luigi Di Stefano
134 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 3.4k
- Aerospace Engineering 2.0k
- Geology 1.0k
- Computational Mechanics 572
- Media Technology 446
Countries citing papers authored by Luigi Di Stefano
This map shows the geographic impact of Luigi Di Stefano'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 Luigi Di Stefano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luigi Di Stefano more than expected).
Fields of papers citing papers by Luigi Di Stefano
This network shows the impact of papers produced by Luigi Di Stefano. 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 Luigi Di Stefano. The network helps show where Luigi Di Stefano may publish in the future.
Co-authorship network of co-authors of Luigi Di Stefano
This figure shows the co-authorship network connecting the top 25 collaborators of Luigi Di Stefano. A scholar is included among the top collaborators of Luigi Di Stefano 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 Luigi Di Stefano. Luigi Di Stefano 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 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 44 | |
| 12 | 30 | |
| 13 | 13 | |
| 14 | 31 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 69 | |
| 18 | Detecting motion by means of 2D and 3D information | 3 |
| 19 | Robust and accurate change detection under sudden illumination variations | 17 |
| 20 | 30 |
About Luigi Di Stefano
Luigi Di Stefano is a scholar working on Computer Vision and Pattern Recognition, Geology and Media Technology, having authored 140 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (61 papers), Advanced Image and Video Retrieval Techniques (42 papers) and Robotics and Sensor-Based Localization (39 papers). The work is most often cited by research in Geology (1.0k citations), Computer Vision and Pattern Recognition (3.4k citations) and Aerospace Engineering (2.0k citations). Luigi Di Stefano has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Federico Tombari, Samuele Salti, Stefano Mattoccia, A. Bulgarelli, Alessio Tonioni, Pietro Azzari, Matteo Poggi, Alessandro Bevilacqua, Alessandro Lanza and Pierluigi Zama Ramirez. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports 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.