Chiara Plizzari

27 total papers · 755 total citations
10 papers, 332 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 332 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, Marco Ciccone, Giovanni Maria Farinella, Siddhant Bansal and Tatiana Tommasi 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 322 citations

Hit Papers

Skeleton-based action rec... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chiara Plizzari 285 163 128 85 14 10 332
Inwoong Lee 321 1.1× 177 1.1× 180 1.4× 92 1.1× 20 1.4× 12 374
Vivek Veeriah 292 1.0× 173 1.1× 139 1.1× 75 0.9× 15 1.1× 7 340
Javed Imran 294 1.0× 175 1.1× 111 0.9× 87 1.0× 10 0.7× 12 366
Hanbo Wu 200 0.7× 96 0.6× 104 0.8× 78 0.9× 13 0.9× 17 302
Aouaidjia Kamel 245 0.9× 84 0.5× 73 0.6× 77 0.9× 24 1.7× 9 328
Samuele Gasparrini 313 1.1× 79 0.5× 194 1.5× 64 0.8× 9 0.6× 10 384
Zhaoyang Liu 344 1.2× 179 1.1× 123 1.0× 52 0.6× 19 1.4× 22 390
Zhan Tong 317 1.1× 183 1.1× 98 0.8× 52 0.6× 11 0.8× 6 364
Marco Cannici 284 1.0× 160 1.0× 124 1.0× 83 1.0× 12 0.9× 13 369
Hoang Le Uyen Thuc 304 1.1× 138 0.8× 97 0.8× 54 0.6× 17 1.2× 7 356

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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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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