G. Lambard
About
G. Lambard is a scholar working on Materials Chemistry, Nuclear and High Energy Physics and Computational Theory and Mathematics.
According to data from OpenAlex, G. Lambard has authored 16 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 4 papers in Nuclear and High Energy Physics and 4 papers in Computational Theory and Mathematics. Recurrent topics in G. Lambard’s work include Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (4 papers) and Astrophysics and Cosmic Phenomena (4 papers). G. Lambard is often cited by papers focused on Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (4 papers) and Astrophysics and Cosmic Phenomena (4 papers). G. Lambard collaborates with scholars based in Japan, Spain and Germany. G. Lambard's co-authors include Keitaro Sodeyama, H. Yamada, Ryo Yoshida, Sadaki Samitsu and Stephen Wu and has published in prestigious journals such as Acta Materialia, Scientific Reports and Journal of Materials Chemistry A.
In The Last Decade
Fields of papers citing papers by G. Lambard
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. Lambard. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where G. Lambard may publish in the future.
Countries citing papers authored by G. Lambard
Since SpecializationCitations
This map shows the geographic impact of G. Lambard'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. Lambard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Lambard more than expected).
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