G. Cua

About

G. Cua is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, G. Cua has authored 7 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Geophysics, 4 papers in Artificial Intelligence and 2 papers in Civil and Structural Engineering. Recurrent topics in G. Cua’s work include Seismic Waves and Analysis (5 papers), Seismology and Earthquake Studies (4 papers) and earthquake and tectonic studies (3 papers). G. Cua is often cited by papers focused on Seismic Waves and Analysis (5 papers), Seismology and Earthquake Studies (4 papers) and earthquake and tectonic studies (3 papers). G. Cua collaborates with scholars based in Switzerland, Slovakia and Puerto Rico. G. Cua's co-authors include Stefan Wiemer, John Clinton, Thomas H. Heaton, Carlo Cauzzi and Philipp Kästli and has published in prestigious journals such as Geophysical Journal International, Bulletin of the Seismological Society of America and Seismological Research Letters.

In The Last Decade

Fields of papers citing papers by G. Cua

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

Countries citing papers authored by G. Cua

Since Specialization

Citations

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

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