Andrea Cossu

14 papers and 122 indexed citations i.

About

Andrea Cossu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Andrea Cossu has authored 14 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Andrea Cossu’s work include Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (6 papers) and Adaptation to Concept Drift in Data Streams (3 papers). Andrea Cossu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (6 papers) and Adaptation to Concept Drift in Data Streams (3 papers). Andrea Cossu collaborates with scholars based in Italy, Belgium and Spain. Andrea Cossu's co-authors include Davide Bacciu, Antonio Carta, Vincenzo Lomonaco, Claudio Gallicchio, Davide Maltoni, Joost van de Weijer, Lorenzo Pellegrini, Tinne Tuytelaars, Federico Errica and Riccardo Guidotti and has published in prestigious journals such as Neurocomputing, Neural Networks and IEEE Intelligent Systems.

In The Last Decade

Co-authorship network of co-authors of Andrea Cossu i

Fields of papers citing papers by Andrea Cossu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Cossu

Since Specialization
Citations

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