Masaki Eguchi

15 papers and 226 indexed citations i.

About

Masaki Eguchi is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Language and Linguistics. According to data from OpenAlex, Masaki Eguchi has authored 15 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Developmental and Educational Psychology and 5 papers in Language and Linguistics. Recurrent topics in Masaki Eguchi’s work include Natural Language Processing Techniques (11 papers), Second Language Acquisition and Learning (10 papers) and Text Readability and Simplification (8 papers). Masaki Eguchi is often cited by papers focused on Natural Language Processing Techniques (11 papers), Second Language Acquisition and Learning (10 papers) and Text Readability and Simplification (8 papers). Masaki Eguchi collaborates with scholars based in United States, Japan and United Kingdom. Masaki Eguchi's co-authors include Atsushi Mizumoto, Kristopher Kyle, Takumi Uchihara, Yuichi Suzuki, Kazuya Saito, Geoffrey T. LaFlair, Judit Kormos, Nicole Ziegler, Shungo Suzuki and Yoichi Matsuyama and has published in prestigious journals such as Modern Language Journal, TESOL Quarterly and Studies in Second Language Acquisition.

In The Last Decade

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

Fields of papers citing papers by Masaki Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masaki Eguchi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025