Francesco Locatello

About

Francesco Locatello is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Francesco Locatello has authored 24 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Francesco Locatello’s work include Adversarial Robustness in Machine Learning (7 papers), Machine Learning and Data Classification (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Francesco Locatello is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Machine Learning and Data Classification (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Francesco Locatello collaborates with scholars based in Germany, United States and Switzerland. Francesco Locatello's co-authors include Bernhard Schölkopf, Stefan Bauer, Anirudh Goyal, Yoshua Bengio, Nal Kalchbrenner, Nan Rosemary Ke, Olivier Bachem, Sjoerd van Steenkiste, Jürgen Schmidhuber and Gunnar Rätsch and has published in prestigious journals such as Proceedings of the IEEE, Journal of Machine Learning Research and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

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Fields of papers citing papers by Francesco Locatello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Locatello

Since Specialization

Citations

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