Masaki Uto

24 papers and 214 indexed citations i.

About

Masaki Uto is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Masaki Uto has authored 24 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 6 papers in Information Systems. Recurrent topics in Masaki Uto’s work include Topic Modeling (9 papers), Measurement Invariance in Structural Equation Modeling (9 papers) and Online Learning and Analytics (4 papers). Masaki Uto is often cited by papers focused on Topic Modeling (9 papers), Measurement Invariance in Structural Equation Modeling (9 papers) and Online Learning and Analytics (4 papers). Masaki Uto collaborates with scholars based in Japan and Italy. Masaki Uto's co-authors include Maomi Ueno, Yoshihiro Kato, Filippo Sciarrone, Minoru Nakayama, Marco Temperini, Koji Nakajima, Y. Tomikawa, Ayaka Suzuki and Hiroh Yamamoto and has published in prestigious journals such as PLoS ONE, Behavior Research Methods and Heliyon.

In The Last Decade

Co-authorship network of co-authors of Masaki Uto i

Fields of papers citing papers by Masaki Uto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masaki Uto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Masaki Uto. The network helps show where Masaki Uto may publish in the future.

Countries citing papers authored by Masaki Uto

Since Specialization
Citations

This map shows the geographic impact of Masaki Uto'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 Masaki Uto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Uto more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025