Massimo Piccardi

110 papers and 3.2k indexed citations i.

About

Massimo Piccardi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Massimo Piccardi has authored 110 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 54 papers in Artificial Intelligence and 10 papers in Biomedical Engineering. Recurrent topics in Massimo Piccardi’s work include Video Surveillance and Tracking Methods (28 papers), Human Pose and Action Recognition (27 papers) and Topic Modeling (23 papers). Massimo Piccardi is often cited by papers focused on Video Surveillance and Tracking Methods (28 papers), Human Pose and Action Recognition (27 papers) and Topic Modeling (23 papers). Massimo Piccardi collaborates with scholars based in Australia, Italy and United States. Massimo Piccardi's co-authors include Hatice Güneş, Rita Cucchiara, Andrea Prati, Costantino Grana, Ehsan Zare Borzeshi, Paola Mello, Nazanin Esmaili, Quinlan D. Buchlak, Christine Bennett and Farrokh Farrokhi and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Massimo Piccardi i

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Fields of papers citing papers by Massimo Piccardi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Piccardi

Since Specialization

Citations

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

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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