Tiberio Uricchio
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Information Systems top 10%
- Media Technology top 5%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Alberto Del BimboMarco BertiniLamberto BallanLorenzo SeidenariAlberto BaldratiCees G. M. SnoekXirong LiShih‐Fu Chang
- Topics
- Image Retrieval and Classification Techniques (20 papers)Advanced Image and Video Retrieval Techniques (17 papers)Video Analysis and Summarization (10 papers)
- Partner nations
- ItalyChinaNetherlands
In The Last Decade
Tiberio Uricchio
31 papers receiving 832 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 660
- Artificial Intelligence 316
- Information Systems 64
- Media Technology 57
- Statistical and Nonlinear Physics 56
Countries citing papers authored by Tiberio Uricchio
This map shows the geographic impact of Tiberio Uricchio'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 Tiberio Uricchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiberio Uricchio more than expected).
Fields of papers citing papers by Tiberio Uricchio
This network shows the impact of papers produced by Tiberio Uricchio. 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 Tiberio Uricchio. The network helps show where Tiberio Uricchio may publish in the future.
Co-authorship network of co-authors of Tiberio Uricchio
This figure shows the co-authorship network connecting the top 25 collaborators of Tiberio Uricchio. A scholar is included among the top collaborators of Tiberio Uricchio 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 Tiberio Uricchio. Tiberio Uricchio 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 | 13 | |
| 3 | 1 | |
| 4 | 82 | |
| 5 | 46 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 29 | |
| 12 | 56 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 100 | |
| 16 | 29 | |
| 17 | 6 | |
| 18 | 53 | |
| 19 | MICC-UNIFI at ImageCLEF 2013 Scalable Concept Image Annotation. | 4 |
| 20 | 0 |
About Tiberio Uricchio
Tiberio Uricchio is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics, having authored 34 papers that have together received 849 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (20 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Video Analysis and Summarization (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (660 citations), Artificial Intelligence (316 citations) and Media Technology (57 citations). Tiberio Uricchio has collaborated with scholars based in Italy, China and Netherlands. Frequent co-authors include Alberto Del Bimbo, Marco Bertini, Lamberto Ballan, Lorenzo Seidenari, Alberto Baldrati, Cees G. M. Snoek, Xirong Li, Shih‐Fu Chang, Irene Amerini and Roberto Caldelli. Their work appears in journals such as ACM Computing Surveys, Pattern Recognition and Frontiers in Psychology.
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.