Federico Errica

About

Federico Errica is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Federico Errica has authored 17 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Federico Errica’s work include Advanced Graph Neural Networks (10 papers), Graph Theory and Algorithms (4 papers) and Topic Modeling (3 papers). Federico Errica is often cited by papers focused on Advanced Graph Neural Networks (10 papers), Graph Theory and Algorithms (4 papers) and Topic Modeling (3 papers). Federico Errica collaborates with scholars based in Italy, Germany and Switzerland. Federico Errica's co-authors include Alessio Micheli, Davide Bacciu, Marco Podda, Nicolò Navarin and Antonio Carta and has published in prestigious journals such as The Journal of Chemical Physics, Neural Networks and Neurocomputing.

In The Last Decade

Fields of papers citing papers by Federico Errica

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

Countries citing papers authored by Federico Errica

Since Specialization

Citations

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

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