Masato Mita

15 papers and 139 indexed citations i.

About

Masato Mita is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Organic Chemistry. According to data from OpenAlex, Masato Mita has authored 15 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Organic Chemistry. Recurrent topics in Masato Mita’s work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Text Readability and Simplification (5 papers). Masato Mita is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Text Readability and Simplification (5 papers). Masato Mita collaborates with scholars based in Japan. Masato Mita's co-authors include Kentaro Inui, Jun Suzuki, Shun Kiyono, Masahiro Kaneko, Tomoya Mizumoto, Masato Hagiwara, Mamoru Komachi, Ryo Nagata, Ken‐ichiro Kanno and Makoto Morishita and has published in prestigious journals such as Journal of Organometallic Chemistry, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Masato Mita i

Fields of papers citing papers by Masato Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masato Mita

Since Specialization
Citations

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