Luca Canini

437 citations
15 papers · 346 · h-index 10

Impact in

Papers in

Luca Canini

15 papers receiving 325 citations

Peers

Luca Canini
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 189
  • Signal Processing 66
  • Experimental and Cognitive Psychology 67
  • Biophysics 21
  • Clinical Psychology 41
Replace Isabelle Guyon with:
Isabelle Guyon France
Jinyeong Yim South Korea
Amy N. Yates United States
C. Longworth United Kingdom
Zhida Sun Hong Kong
Cristina Segalin Italy
Zhongkai Sun United States
Leda Kennedy United States
Su‐Youn Yoon United States
Luca Canini relative to Isabelle Guyon France Isabelle Guyon's profile →
Citations per field
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Citations per year

Countries citing papers authored by Luca Canini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 13 scholars most cited alongside Luca Canini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luca Canini Line = papers co-authored together Luca Canini links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201275
2 201156
3 201341
4 202034
5 201128
6 200921
7
Affective analysis on patterns of shot types in movies
201121
8 202218
9 201017
10 201015
11 201010
12 20105
13 20173
14 20091
15 20251

About Luca Canini

Luca Canini is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Biophysics, Tourism, Leisure and Hospitality Management and Social Psychology, having authored 15 papers that have together received 346 indexed citations. Recurring topics across this work include Video Analysis and Summarization (8 papers), Music and Audio Processing (5 papers), Image Retrieval and Classification Techniques (4 papers), Color perception and design (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Vision and Imaging (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and Multimedia Communication and Technology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Signal Processing (66 citations), Experimental and Cognitive Psychology (67 citations), Biophysics (21 citations) and Clinical Psychology (41 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, Enrico Sella, Erika Borella, Enrico Toffalini, Marc Cavazza and Fred Charles. Their work appears in journals such as Aging & Mental Health, IEEE Transactions on Circuits and Systems for Video Technology, Multimedia Tools and Applications, IEEE Transactions on Multimedia and International Gambling Studies.

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.

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