Shoichi Noda
About
Shoichi Noda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering.
According to data from OpenAlex, Shoichi Noda has authored 6 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Biomedical Engineering. Recurrent topics in Shoichi Noda’s work include Reinforcement Learning in Robotics (5 papers), Robotic Path Planning Algorithms (5 papers) and Evolutionary Algorithms and Applications (3 papers). Shoichi Noda is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Robotic Path Planning Algorithms (5 papers) and Evolutionary Algorithms and Applications (3 papers). Shoichi Noda collaborates with scholars based in Japan. Shoichi Noda's co-authors include Koh Hosoda, Minoru Asada and Sukoya Tawaratsumida and has published in prestigious journals such as Machine Learning.
In The Last Decade
Fields of papers citing papers by Shoichi Noda
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 Shoichi Noda. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shoichi Noda may publish in the future.
Countries citing papers authored by Shoichi Noda
Since SpecializationCitations
This map shows the geographic impact of Shoichi Noda'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 Shoichi Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoichi Noda more than expected).
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