Yumi Matsumoto

14 papers and 214 indexed citations i.

About

Yumi Matsumoto is a scholar working on Language and Linguistics, Linguistics and Language and Literature and Literary Theory. According to data from OpenAlex, Yumi Matsumoto has authored 14 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Language and Linguistics, 9 papers in Linguistics and Language and 8 papers in Literature and Literary Theory. Recurrent topics in Yumi Matsumoto’s work include EFL/ESL Teaching and Learning (11 papers), Multilingual Education and Policy (9 papers) and Language, Metaphor, and Cognition (5 papers). Yumi Matsumoto is often cited by papers focused on EFL/ESL Teaching and Learning (11 papers), Multilingual Education and Policy (9 papers) and Language, Metaphor, and Cognition (5 papers). Yumi Matsumoto collaborates with scholars based in United States, Japan and United Kingdom. Yumi Matsumoto's co-authors include Anne Marie Guerrettaz and Suresh Canagarajah and has published in prestigious journals such as Modern Language Journal, TESOL Quarterly and Language Learning.

In The Last Decade

Co-authorship network of co-authors of Yumi Matsumoto i

Fields of papers citing papers by Yumi Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yumi Matsumoto

Since Specialization
Citations

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