Francesco Visin

About

Francesco Visin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Francesco Visin has authored 7 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Aerospace Engineering. Recurrent topics in Francesco Visin’s work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (3 papers) and Multimodal Machine Learning Applications (2 papers). Francesco Visin is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (3 papers) and Multimodal Machine Learning Applications (2 papers). Francesco Visin collaborates with scholars based in United Kingdom, Italy and United States. Francesco Visin's co-authors include Matteo Matteucci, Marco Ciccone, Aaron Courville, Yoshua Bengio, Kyunghyun Cho, Kyle Kastner, Adriana Romero, Razvan Pascanu, Raia Hadsell and Andrea Romanoni and has published in prestigious journals such as arXiv (Cornell University), Virtual Community of Pathological Anatomy (University of Castilla La Mancha) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Francesco Visin i

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Fields of papers citing papers by Francesco Visin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Visin

Since Specialization

Citations

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