P. Martín
About
P. Martín is a scholar working on Geophysics, Civil and Structural Engineering and Artificial Intelligence.
According to data from OpenAlex, P. Martín has authored 157 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Geophysics, 34 papers in Civil and Structural Engineering and 26 papers in Artificial Intelligence. Recurrent topics in P. Martín’s work include earthquake and tectonic studies (96 papers), Seismic Waves and Analysis (48 papers) and High-pressure geophysics and materials (39 papers). P. Martín is often cited by papers focused on earthquake and tectonic studies (96 papers), Seismic Waves and Analysis (48 papers) and High-pressure geophysics and materials (39 papers). P. Martín collaborates with scholars based in Saudi Arabia, United States and Switzerland. P. Martín's co-authors include L. A. Dalguer, Martin Gális, K. K. S. Thingbaijam, Alice‐Agnes Gabriel and Jean‐Paul Ampuero and has published in prestigious journals such as Science, Nano Letters and Journal of Geophysical Research Atmospheres.
In The Last Decade
Fields of papers citing papers by P. Martín
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 P. Martín. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where P. Martín may publish in the future.
Countries citing papers authored by P. Martín
Since SpecializationCitations
This map shows the geographic impact of P. Martín'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 P. Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Martín more than expected).
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