Reina Akama
About
Reina Akama is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Language and Linguistics.
According to data from OpenAlex, Reina Akama has authored 5 papers receiving a total of 25 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Statistical and Nonlinear Physics and 1 paper in Language and Linguistics. Recurrent topics in Reina Akama’s work include Topic Modeling (4 papers), Speech and dialogue systems (4 papers) and Natural Language Processing Techniques (3 papers). Reina Akama is often cited by papers focused on Topic Modeling (4 papers), Speech and dialogue systems (4 papers) and Natural Language Processing Techniques (3 papers). Reina Akama collaborates with scholars based in Japan, Switzerland and United States. Reina Akama's co-authors include Kentaro Inui, Sosuke Kobayashi, Sho Yokoi, Naoya Inoue and Hiroki Ouchi and has published in prestigious journals such as and .
In The Last Decade
Fields of papers citing papers by Reina Akama
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 Reina Akama. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Reina Akama may publish in the future.
Countries citing papers authored by Reina Akama
Since SpecializationCitations
This map shows the geographic impact of Reina Akama'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 Reina Akama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reina Akama more than expected).
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