Massimiliano Mancini
About
Massimiliano Mancini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Massimiliano Mancini has authored 32 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Massimiliano Mancini’s work include Domain Adaptation and Few-Shot Learning (25 papers), Multimodal Machine Learning Applications (21 papers) and Advanced Neural Network Applications (12 papers). Massimiliano Mancini is often cited by papers focused on Domain Adaptation and Few-Shot Learning (25 papers), Multimodal Machine Learning Applications (21 papers) and Advanced Neural Network Applications (12 papers). Massimiliano Mancini collaborates with scholars based in Italy, Germany and United States. Massimiliano Mancini's co-authors include Barbara Caputo, Elisa Ricci, Samuel Rota Bulò, Zeynep Akata and Fabio Cermelli and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics and Automation Letters and Machine Vision and Applications.
In The Last Decade
Fields of papers citing papers by Massimiliano Mancini
Since SpecializationEngineeringComputer 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 Massimiliano Mancini. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Massimiliano Mancini may publish in the future.
Countries citing papers authored by Massimiliano Mancini
Since SpecializationCitations
This map shows the geographic impact of Massimiliano Mancini'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 Massimiliano Mancini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimiliano Mancini more than expected).
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