M. Daigo
About
M. Daigo is a scholar working on Nuclear and High Energy Physics, Ecology and Atmospheric Science.
According to data from OpenAlex, M. Daigo has authored 22 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nuclear and High Energy Physics, 5 papers in Ecology and 5 papers in Atmospheric Science. Recurrent topics in M. Daigo’s work include Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (5 papers) and Remote Sensing in Agriculture (5 papers). M. Daigo is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (5 papers) and Remote Sensing in Agriculture (5 papers). M. Daigo collaborates with scholars based in Japan and China. M. Daigo's co-authors include N. Fujiwara, Keiichi Muramatsu, T. Nakamura, R. Kikuchi and M. Minowa and has published in prestigious journals such as Nuclear Physics B, Physics Letters A and International Journal of Remote Sensing.
In The Last Decade
Fields of papers citing papers by M. Daigo
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 M. Daigo. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where M. Daigo may publish in the future.
Countries citing papers authored by M. Daigo
Since SpecializationCitations
This map shows the geographic impact of M. Daigo'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 M. Daigo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Daigo more than expected).
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