Thomas Manzini
About
Thomas Manzini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering.
According to data from OpenAlex, Thomas Manzini has authored 7 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Aerospace Engineering. Recurrent topics in Thomas Manzini’s work include Topic Modeling (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Multimodal Machine Learning Applications (2 papers). Thomas Manzini is often cited by papers focused on Topic Modeling (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Multimodal Machine Learning Applications (2 papers). Thomas Manzini collaborates with scholars based in United States. Thomas Manzini's co-authors include Barnabás Póczos, Paul Pu Liang, Robin R. Murphy, Hai Pham and Ritwik Gupta and has published in prestigious journals such as Science Robotics.
In The Last Decade
Fields of papers citing papers by Thomas Manzini
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 Thomas Manzini. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Thomas Manzini may publish in the future.
Countries citing papers authored by Thomas Manzini
Since SpecializationCitations
This map shows the geographic impact of Thomas Manzini'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 Thomas Manzini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Manzini more than expected).
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