Francesco Orabona

About

Francesco Orabona is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesco Orabona has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 22 papers in Management Science and Operations Research and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesco Orabona’s work include Advanced Bandit Algorithms Research (22 papers), Machine Learning and Algorithms (21 papers) and Sparse and Compressive Sensing Techniques (10 papers). Francesco Orabona is often cited by papers focused on Advanced Bandit Algorithms Research (22 papers), Machine Learning and Algorithms (21 papers) and Sparse and Compressive Sensing Techniques (10 papers). Francesco Orabona collaborates with scholars based in United States, Italy and Switzerland. Francesco Orabona's co-authors include Barbara Caputo, Tatiana Tommasi, Jie Luo, Ilja Kuzborskij, Giulio Sandini, Claudio Castellini, Joseph Keshet, Nicolò Cesa‐Bianchi, Giorgio Metta and Koby Crammer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Pattern Recognition.

In The Last Decade

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

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Fields of papers citing papers by Francesco Orabona

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Orabona

Since Specialization

Citations

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