Yo Matsumoto

About

Yo Matsumoto is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Language and Linguistics. According to data from OpenAlex, Yo Matsumoto has authored 8 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Experimental and Cognitive Psychology and 5 papers in Language and Linguistics. Recurrent topics in Yo Matsumoto’s work include Language, Metaphor, and Cognition (4 papers), Natural Language Processing Techniques (4 papers) and Categorization, perception, and language (2 papers). Yo Matsumoto is often cited by papers focused on Language, Metaphor, and Cognition (4 papers), Natural Language Processing Techniques (4 papers) and Categorization, perception, and language (2 papers). Yo Matsumoto collaborates with scholars based in Japan. Yo Matsumoto's co-authors include and and has published in prestigious journals such as Linguistics and Philosophy, Linguistics and Cognitive Linguistics.

In The Last Decade

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Fields of papers citing papers by Yo Matsumoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yo Matsumoto. 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 Yo Matsumoto. The network helps show where Yo Matsumoto may publish in the future.

Countries citing papers authored by Yo Matsumoto

Since Specialization

Citations

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