Chiara Plizzari
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
-
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Context-Aware Activity Recognition Systems
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
Papers in
-
- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 3
- Video Surveillance and Tracking Methods 1
-
- Domain Adaptation and Few-Shot Learning 2
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Marco Cannici (3 shared papers)Matteo Matteucci (3 shared papers)Barbara Caputo (5 shared papers)Dima Damen (3 shared papers)A. Bottino (2 shared papers)Giovanni Maria Farinella (1 shared paper)Toby Perrett (2 shared papers)Tatiana Tommasi (1 shared paper)
- Journals
- International Journal of Computer Vision (2 papers)Computer Vision and Image Understanding (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Explore Bristol Research (1 paper)Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Chiara Plizzari
7 papers receiving 330 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Human-Computer Interaction 87
- Computer Vision and Pattern Recognition 290
- Artificial Intelligence 166
- Biomedical Engineering 131
- Rehabilitation 10
Countries citing papers authored by Chiara Plizzari
This map shows the geographic impact of Chiara Plizzari'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 Chiara Plizzari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Plizzari more than expected).
Fields of papers citing papers by Chiara Plizzari
This network shows the impact of papers produced by Chiara Plizzari. 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 Chiara Plizzari. The network helps show where Chiara Plizzari may publish in the future.
Co-authors
The 17 scholars most cited alongside Chiara Plizzari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Skeleton-based action recognition via spatial and temporal transformer networks Hit paper breakdown → | 2021 | 253 |
| 2 | 2022 | 35 | |
| 3 | 2022 | 24 | |
| 4 | 2024 | 11 | |
| 5 | 2021 | 7 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2025 | 0 | |
| 9 | Spatial temporal transformer networks for skeleton-based activity recognition | 2020 | 0 |
| 10 | 2025 | 0 |
About Chiara Plizzari
Chiara Plizzari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Automotive Engineering, having authored 10 papers that have together received 340 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Memory and Neural Computing (2 papers), Constraint Satisfaction and Optimization (1 paper), Video Surveillance and Tracking Methods (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Human-Computer Interaction (87 citations), Computer Vision and Pattern Recognition (290 citations), Artificial Intelligence (166 citations), Biomedical Engineering (131 citations) and Rehabilitation (10 citations). Chiara Plizzari has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Marco Cannici, Matteo Matteucci, Barbara Caputo, Dima Damen, A. Bottino, Giovanni Maria Farinella, Toby Perrett, Tatiana Tommasi, Antonino Furnari and Marco Ciccone. Their work appears in journals such as International Journal of Computer Vision, Computer Vision and Image Understanding, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Explore Bristol Research and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).
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.