G. Sias
About
G. Sias is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Aerospace Engineering.
According to data from OpenAlex, G. Sias has authored 45 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nuclear and High Energy Physics, 15 papers in Artificial Intelligence and 12 papers in Aerospace Engineering. Recurrent topics in G. Sias’s work include Magnetic confinement fusion research (22 papers), Time Series Analysis and Forecasting (8 papers) and Anomaly Detection Techniques and Applications (8 papers). G. Sias is often cited by papers focused on Magnetic confinement fusion research (22 papers), Time Series Analysis and Forecasting (8 papers) and Anomaly Detection Techniques and Applications (8 papers). G. Sias collaborates with scholars based in Italy, Germany and United Kingdom. G. Sias's co-authors include Alessandra Fanni, B. Cannas, A. Pau, A. Murari and F. Pisano and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Power Delivery and Energies.
In The Last Decade
Fields of papers citing papers by G. Sias
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 G. Sias. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where G. Sias may publish in the future.
Countries citing papers authored by G. Sias
Since SpecializationCitations
This map shows the geographic impact of G. Sias'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 G. Sias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Sias more than expected).
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