Masaki Uto
About
Masaki Uto has authored 19 papers that have received a total of 157 indexed citations.
This includes 7 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 5 papers in Education. The topics of these papers are Measurement Invariance in Structural Equation Modeling (7 papers), Topic Modeling (5 papers) and Online Learning and Analytics (4 papers). Masaki Uto is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (7 papers), Topic Modeling (5 papers) and Online Learning and Analytics (4 papers) and collaborates with scholars based in Japan and Italy. Masaki Uto's co-authors include Maomi Ueno, Yoshihiro Kato, Minoru Nakayama, Filippo Sciarrone and Marco Temperini and has published in prestigious journals such as Behavior Research Methods, Heliyon and IEEE Transactions on Learning Technologies
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