Gianvito Pio
About
Gianvito Pio is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics.
According to data from OpenAlex, Gianvito Pio has authored 32 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Molecular Biology and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Gianvito Pio’s work include Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers) and Advanced Graph Neural Networks (6 papers). Gianvito Pio is often cited by papers focused on Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers) and Advanced Graph Neural Networks (6 papers). Gianvito Pio collaborates with scholars based in Italy, Slovenia and Czechia. Gianvito Pio's co-authors include Michelangelo Ceci, Donato Malerba, Domenica D’Elia, Roberto Corizzo and Sašo Džeroski and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.
In The Last Decade
Fields of papers citing papers by Gianvito Pio
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 Gianvito Pio. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gianvito Pio may publish in the future.
Countries citing papers authored by Gianvito Pio
Since SpecializationCitations
This map shows the geographic impact of Gianvito Pio'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 Gianvito Pio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianvito Pio more than expected).
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