Tiberio Uricchio

1.4k total citations
34 papers, 849 citations indexed

About

Tiberio Uricchio is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Tiberio Uricchio has authored 34 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Sociology and Political Science. Recurrent topics in Tiberio Uricchio's work include Image Retrieval and Classification Techniques (20 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Video Analysis and Summarization (10 papers). Tiberio Uricchio is often cited by papers focused on Image Retrieval and Classification Techniques (20 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Video Analysis and Summarization (10 papers). Tiberio Uricchio collaborates with scholars based in Italy, China and Netherlands. Tiberio Uricchio's 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 and has published in prestigious journals such as ACM Computing Surveys, Pattern Recognition and Frontiers in Psychology.

In The Last Decade

Tiberio Uricchio

31 papers receiving 832 citations

Peers

Tiberio Uricchio
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
Replace Gabriel Doyle with:
Gabriel Doyle United States
Wen Wu China
Jinpeng Wang China
Lyndon S. Kennedy United States
Fuhao Zou China
Stevan Rudinac Netherlands
Nikolaos Pappas Switzerland
Mingliang Chen China
Xiaoxiao Shi United States
Sayaka Shiota Japan
Gabriel Doyle United States View profile →
Citations per field, relative to Tiberio Uricchio
Tiberio Uricchio · 1×
Citations per year, relative to Tiberio Uricchio
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Countries citing papers authored by Tiberio Uricchio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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