Thomas Manzini

7 papers and 375 indexed citations i.

About

Thomas Manzini is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Manzini has authored 7 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Aerospace Engineering, 3 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Manzini’s work include Topic Modeling (3 papers), Multimodal Machine Learning Applications (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Thomas Manzini is often cited by papers focused on Topic Modeling (3 papers), Multimodal Machine Learning Applications (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Thomas Manzini collaborates with scholars based in United States. Thomas Manzini's co-authors include Hai Pham, Barnabás Póczos, Paul Pu Liang, Louis‐Philippe Morency, Alan W. Black, Yulia Tsvetkov, Robin R. Murphy, D. Merrick, Ritwik Gupta and Guido Zarrella and has published in prestigious journals such as Science Robotics, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Thomas Manzini i

Fields of papers citing papers by Thomas Manzini

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 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 Specialization
Citations

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).

Rankless by CCL
2025