Chiara Plizzari

769 total citations · 1 hit paper
10 papers, 340 citations indexed

About

Chiara Plizzari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Chiara Plizzari has authored 10 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Chiara Plizzari's work include Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Memory and Neural Computing (2 papers). Chiara Plizzari is often cited by papers focused on Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Memory and Neural Computing (2 papers). Chiara Plizzari collaborates with scholars based in Italy, United Kingdom and United States. Chiara Plizzari's co-authors include Marco Cannici, Matteo Matteucci, Barbara Caputo, Dima Damen, A. Bottino, Simone Peirone, Tatiana Tommasi, Antonino Furnari, Toby Perrett and Marco Ciccone and has published in prestigious journals such as International Journal of Computer Vision, Computer Vision and Image Understanding and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Chiara Plizzari

7 papers receiving 330 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Skeleton-based action recognition via spatial and temporal transformer networks

2021 253 citations Chiara Plizzari, Marco Cannici et al. Computer Vision and Image Understanding profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chiara Plizzari Italy	6	290	166	131	87	15	10	340
Inwoong Lee South Korea	6	323 1.1×	177 1.1×	181 1.4×	92 1.1×	20 1.3×	12	375
Vivek Veeriah United States	4	292 1.0×	173 1.0×	139 1.1×	75 0.9×	15 1.0×	7	340
Javed Imran India	8	293 1.0×	175 1.1×	110 0.8×	86 1.0×	10 0.7×	12	366
Zhaoyang Liu China	7	357 1.2×	181 1.1×	127 1.0×	55 0.6×	19 1.3×	22	404
Zhan Tong China	4	324 1.1×	187 1.1×	101 0.8×	54 0.6×	11 0.7×	8	373
Marco Cannici Switzerland	7	287 1.0×	161 1.0×	127 1.0×	85 1.0×	13 0.9×	15	376
Dian Shao China	7	248 0.9×	145 0.9×	52 0.4×	39 0.4×	20 1.3×	13	308
Harshala Gammulle Australia	9	254 0.9×	152 0.9×	64 0.5×	49 0.6×	17 1.1×	14	315
Preksha Pareek India	5	213 0.7×	159 1.0×	68 0.5×	29 0.3×	8 0.5×	11	313
Sicheng Li China	6	267 0.9×	185 1.1×	145 1.1×	57 0.7×	10 0.7×	17	348

Countries citing papers authored by Chiara Plizzari

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chiara Plizzari

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Plizzari. A scholar is included among the top collaborators of Chiara Plizzari 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 Chiara Plizzari. Chiara Plizzari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Plizzari, Chiara, et al.. (2025). Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos. 24129–24138.

2.

Plizzari, Chiara, et al.. (2025). Spatial Cognition from Egocentric Video: Out of Sight, Not Out of Mind. Explore Bristol Research. 1211–1221.

3.

Plizzari, Chiara, et al.. (2024). Relative Norm Alignment for Tackling Domain Shift in Deep Multi-modal Classification. International Journal of Computer Vision. 132(7). 2618–2638. 5 indexed citations

4.

Plizzari, Chiara, Antonino Furnari, Siddhant Bansal, et al.. (2024). An Outlook into the Future of Egocentric Vision. International Journal of Computer Vision. 132(11). 4880–4936. 11 indexed citations

5.

Plizzari, Chiara, Toby Perrett, Barbara Caputo, & Dima Damen. (2023). What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations. Bristol Research (University of Bristol). 13610–13620. 5 indexed citations

6.

Plizzari, Chiara, et al.. (2022). E²(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19903–19915. 35 indexed citations

7.

Plizzari, Chiara, et al.. (2022). Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 163–174. 24 indexed citations

8.

Plizzari, Chiara, Marco Cannici, & Matteo Matteucci. (2021). Skeleton-based action recognition via spatial and temporal transformer networks. Computer Vision and Image Understanding. 208-209. 103219–103219. 253 indexed citations breakdown →

9.

Cannici, Marco, Chiara Plizzari, Marco Ciccone, et al.. (2021). N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1342–1347. 7 indexed citations

10.

Plizzari, Chiara. (2020). Spatial temporal transformer networks for skeleton-based activity recognition.

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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