Silvia Bucci

6 papers and 443 indexed citations i.

About

Silvia Bucci is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Silvia Bucci has authored 6 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Silvia Bucci’s work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Silvia Bucci is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Silvia Bucci collaborates with scholars based in Italy and United Kingdom. Silvia Bucci's co-authors include Tatiana Tommasi, Barbara Caputo, Antonio D’Innocente, Fabio Maria Carlucci, Yujun Liao and Timothy M. Hospedales and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Silvia Bucci i

Fields of papers citing papers by Silvia Bucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Silvia Bucci

Since Specialization
Citations

This map shows the geographic impact of Silvia Bucci'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 Silvia Bucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Bucci 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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2025