U. Ravaioli
About
U. Ravaioli is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics.
According to data from OpenAlex, U. Ravaioli has authored 13 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 3 papers in Artificial Intelligence and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in U. Ravaioli’s work include Semiconductor materials and devices (6 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers) and Quantum and electron transport phenomena (3 papers). U. Ravaioli is often cited by papers focused on Semiconductor materials and devices (6 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers) and Quantum and electron transport phenomena (3 papers). U. Ravaioli collaborates with scholars based in United States, Germany and United Kingdom. U. Ravaioli's co-authors include Fernando Sols, K. Hess, Massimo Macucci, R. Ravishankar, Mark Lundstrom, Chris H. Dietrich, James Cunningham, Jane Hart, Sayed Hasan and John R. McCarroll and has published in prestigious journals such as Applied Physics Letters, Computer and Nanomedicine Nanotechnology Biology and Medicine.
In The Last Decade
Co-authorship network of co-authors of U. Ravaioli i
Fields of papers citing papers by U. Ravaioli
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 U. Ravaioli. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where U. Ravaioli may publish in the future.
Countries citing papers authored by U. Ravaioli
Since SpecializationCitations
This map shows the geographic impact of U. Ravaioli'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 U. Ravaioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Ravaioli more than expected).
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