Francesco Orabona

53 papers and 1.1k indexed citations i.

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, Giulio Sandini, Nicolò Cesa‐Bianchi, Claudio Castellini and Tatiana Tommasi 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

Fields of papers citing papers by Francesco Orabona

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Francesco Orabona. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025