Rita Cucchiara

371 papers receiving 9.5k citations

Hit Papers

Visual Tracking: An Experimental Survey2003202620102018201420032003201920222505007501000

Peers

Rita Cucchiara
Comparison fields: 5 of 171
  • Computer Vision and Pattern Recognition 7.9k
  • Artificial Intelligence 2.2k
  • Electrical and Electronic Engineering 857
  • Biomedical Engineering 814
  • Safety, Risk, Reliability and Quality 774
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Ying Wu United States
Tao Xiang United Kingdom
Liang Lin China
Ali Farhadi United States
Hong-Yuan Mark Liao Taiwan
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Weiming Hu China
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Christoph Feichtenhofer United States
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Citations per field
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Citations per year

Countries citing papers authored by Rita Cucchiara

Since Specialization
Citations

This map shows the geographic impact of Rita Cucchiara'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 Rita Cucchiara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Cucchiara more than expected).

Fields of papers citing papers by Rita Cucchiara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita Cucchiara. 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 Rita Cucchiara. The network helps show where Rita Cucchiara may publish in the future.

Co-authorship network of co-authors of Rita Cucchiara

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Cucchiara. A scholar is included among the top collaborators of Rita Cucchiara 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 Rita Cucchiara. Rita Cucchiara 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
#WorkIndexed citations
1 0
2 17
3 4
4 6
5 7
6 2
7 1
8 4
9 32
10 6
11 10
12 41
13 52
14 6
15 145
16 22
17 11
18
UNIMORE at ImageCLEF 2013: Scalable Concept Image Annotation
6
19
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
2
20
A Framework for Semantic Video Transcoding
2

About Rita Cucchiara

Rita Cucchiara is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 387 papers that have together received 10.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (132 papers), Advanced Image and Video Retrieval Techniques (93 papers) and Human Pose and Action Recognition (78 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.9k citations), Human-Computer Interaction (501 citations) and Safety, Risk, Reliability and Quality (774 citations). Rita Cucchiara has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Andrea Prati, Costantino Grana, Simone Calderara, Massimo Piccardi, Roberto Vezzani, Lorenzo Baraldi, Marcella Cornia, Mubarak Shah, Afshin Dehghan and A.W.M. Smeulders. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.

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