Luca Canini
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology
- Signal Processing top 10%
- Clinical Psychology
- Artificial Intelligence
- Co-authors
- Sergio BeniniRiccardo LeonardiNicola AdamiWerner MäntelePierangelo MiglioratiErika BorellaEnrico ToffaliniMarc Cavazza
- Topics
- Video Analysis and Summarization (8 papers)Music and Audio Processing (5 papers)Image Retrieval and Classification Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingExperimental and Cognitive Psychology
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on MultimediaAging & Mental Health
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Luca Canini
14 papers receiving 285 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 168
- Experimental and Cognitive Psychology 62
- Signal Processing 58
- Clinical Psychology 42
- Artificial Intelligence 38
Countries citing papers authored by Luca Canini
This map shows the geographic impact of Luca Canini'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 Luca Canini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Canini more than expected).
Fields of papers citing papers by Luca Canini
This network shows the impact of papers produced by Luca Canini. 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 Luca Canini. The network helps show where Luca Canini may publish in the future.
Co-authorship network of co-authors of Luca Canini
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Canini. A scholar is included among the top collaborators of Luca Canini 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 Luca Canini. Luca Canini 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 | 14 | |
| 3 | 27 | |
| 4 | 3 | |
| 5 | 41 | |
| 6 | 68 | |
| 7 | Affective analysis on patterns of shot types in movies | 17 |
| 8 | 51 | |
| 9 | 22 | |
| 10 | 15 | |
| 11 | 9 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 20 |
About Luca Canini
Luca Canini is a scholar working on Tourism, Leisure and Hospitality Management, Signal Processing and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 306 indexed citations. Recurring topics across this work include Video Analysis and Summarization (8 papers), Music and Audio Processing (5 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (168 citations), Signal Processing (58 citations) and Experimental and Cognitive Psychology (62 citations). Luca Canini has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Sergio Benini, Riccardo Leonardi, Nicola Adami, Werner Mäntele, Pierangelo Migliorati, Erika Borella, Enrico Toffalini, Marc Cavazza, Enrico Sella and Julie Porteous. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia and Aging & Mental Health.
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.