Francesco Barbieri

35 papers and 872 indexed citations i.

About

Francesco Barbieri is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesco Barbieri has authored 35 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 6 papers in Human-Computer Interaction and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesco Barbieri’s work include Sentiment Analysis and Opinion Mining (21 papers), Topic Modeling (13 papers) and Advanced Text Analysis Techniques (7 papers). Francesco Barbieri is often cited by papers focused on Sentiment Analysis and Opinion Mining (21 papers), Topic Modeling (13 papers) and Advanced Text Analysis Techniques (7 papers). Francesco Barbieri collaborates with scholars based in Spain, United States and United Kingdom. Francesco Barbieri's co-authors include Horacio Saggion, Francesco Ronzano, Luis Espinosa-Anke, José Camacho-Collados and Leonardo Neves and has published in prestigious journals such as IEEE Transactions on Affective Computing, Language Resources and Evaluation and Journal Of Big Data.

In The Last Decade

Fields of papers citing papers by Francesco Barbieri

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 Barbieri. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Francesco Barbieri may publish in the future.

Countries citing papers authored by Francesco Barbieri

Since Specialization
Citations

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

Rankless by CCL
2025