Rita Cucchiara

19.9k total citations · 5 hit papers
387 papers, 10.1k citations indexed

About

Rita Cucchiara is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Rita Cucchiara has authored 387 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 327 papers in Computer Vision and Pattern Recognition, 68 papers in Artificial Intelligence and 38 papers in Signal Processing. Recurrent topics in Rita Cucchiara's 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). Rita Cucchiara is often cited by papers focused on Video Surveillance and Tracking Methods (132 papers), Advanced Image and Video Retrieval Techniques (93 papers) and Human Pose and Action Recognition (78 papers). Rita Cucchiara collaborates with scholars based in Italy, United States and United Kingdom. Rita Cucchiara's 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 and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Rita Cucchiara

371 papers receiving 9.5k citations

Hit Papers

Visual Tracking: An Experimental Survey 2003 2026 2010 2018 2014 2003 2003 2019 2022 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rita Cucchiara Italy 42 7.9k 2.2k 857 814 774 387 10.1k
Weiming Hu China 51 8.8k 1.1× 3.0k 1.4× 575 0.7× 1.2k 1.5× 715 0.9× 306 11.5k
Rainer Stiefelhagen Germany 46 6.3k 0.8× 2.0k 0.9× 513 0.6× 781 1.0× 321 0.4× 309 8.9k
Stephen J. Maybank United Kingdom 47 9.2k 1.2× 3.9k 1.8× 778 0.9× 1.3k 1.6× 438 0.6× 161 12.8k
L.S. Davis United States 49 10.7k 1.4× 2.4k 1.1× 922 1.1× 1.3k 1.6× 520 0.7× 171 12.7k
Hong-Yuan Mark Liao Taiwan 26 8.8k 1.1× 1.6k 0.7× 801 0.9× 733 0.9× 565 0.7× 135 13.8k
Jenq–Neng Hwang United States 46 5.1k 0.6× 2.0k 0.9× 1.0k 1.2× 429 0.5× 181 0.2× 395 8.5k
Gang Hua United States 52 8.0k 1.0× 2.4k 1.1× 344 0.4× 521 0.6× 315 0.4× 251 10.0k
Andrea Cavallaro United Kingdom 40 4.7k 0.6× 1.5k 0.7× 672 0.8× 562 0.7× 211 0.3× 268 6.9k
Joseph Redmon United States 3 9.4k 1.2× 2.1k 1.0× 907 1.1× 837 1.0× 527 0.7× 3 13.6k
Ali Farhadi United States 29 12.8k 1.6× 4.8k 2.2× 983 1.1× 715 0.9× 552 0.7× 98 17.8k

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
1.
Cornia, Marcella, et al.. (2025). Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training. International Journal of Computer Vision. 133(11). 7647–7671.
2.
Baraldi, Lorenzo, et al.. (2024). The Revolution of Multimodal Large Language Models: A Survey. 13590–13618. 17 indexed citations
3.
Cornia, Marcella, et al.. (2024). Multiclass Unlearning for Image Classification via Weight Filtering. IEEE Intelligent Systems. 39(6). 40–47. 4 indexed citations
4.
Cuculo, Vittorio, et al.. (2024). Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images. IEEE Signal Processing Letters. 31. 820–824. 6 indexed citations
5.
Cornia, Marcella, et al.. (2024). Towards Retrieval-Augmented Architectures for Image Captioning. ACM Transactions on Multimedia Computing Communications and Applications. 20(8). 1–22. 7 indexed citations
6.
Cascianelli, Silvia, et al.. (2024). VATr++: Choose Your Words Wisely for Handwritten Text Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 934–948. 2 indexed citations
7.
Cucchiara, Rita, et al.. (2024). Video Surveillance and Privacy: A Solvable Paradox?. Computer. 57(3). 91–100. 1 indexed citations
8.
Pini, Stefano, et al.. (2023). Depth-based 3D human pose refinement: Evaluating the refinet framework. Pattern Recognition Letters. 171. 185–191. 4 indexed citations
9.
Baldrati, Alberto, et al.. (2023). LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On. IRIS UNIMORE (University of Modena and Reggio Emilia). 8580–8589. 32 indexed citations
10.
Stefanini, Matteo, et al.. (2023). Predicting gene and protein expression levels from DNA and protein sequences with Perceiver. Computer Methods and Programs in Biomedicine. 234. 107504–107504. 6 indexed citations
11.
Cornia, Marcella, et al.. (2023). Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates. Sensors. 23(3). 1286–1286. 10 indexed citations
12.
Coscia, Pasquale, et al.. (2022). Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2517–2526. 41 indexed citations
13.
Cornia, Marcella, et al.. (2022). The Unreasonable Effectiveness of CLIP Features for Image Captioning: An Experimental Analysis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4661–4669. 52 indexed citations
14.
Cucchiara, Rita, et al.. (2022). Fine-grained Human Analysis under Occlusions and Perspective Constraints in Multimedia Surveillance. ACM Transactions on Multimedia Computing Communications and Applications. 18(1s). 1–23. 6 indexed citations
15.
Holzinger, Andreas, Matthias Dehmer, Frank Emmert‐Streib, et al.. (2021). Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Information Fusion. 79. 263–278. 145 indexed citations
16.
Pini, Stefano, et al.. (2020). Multimodal Hand Gesture Classification for the Human–Car Interaction. Informatics. 7(3). 31–31. 22 indexed citations
17.
Borghi, Guido, Stefano Pini, Roberto Vezzani, & Rita Cucchiara. (2019). Driver Face Verification with Depth Maps. Sensors. 19(15). 3361–3361. 11 indexed citations
18.
Grana, Costantino, Giuseppe Serra, Marco Manfredi, et al.. (2013). UNIMORE at ImageCLEF 2013: Scalable Concept Image Annotation. Institutional Research Information System (University of Udine). 6 indexed citations
19.
Aggarwal, J.K., Rita Cucchiara, & Andrea Prati. (2006). Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks. 2 indexed citations
20.
Cucchiara, Rita, et al.. (2002). A Framework for Semantic Video Transcoding. AirIuav (Università Iuav di Venezia). 2 indexed citations

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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