Kentaro Inui

131 papers and 1.2k indexed citations i.

About

Kentaro Inui is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kentaro Inui has authored 131 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Artificial Intelligence, 14 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kentaro Inui’s work include Topic Modeling (106 papers), Natural Language Processing Techniques (89 papers) and Speech and dialogue systems (18 papers). Kentaro Inui is often cited by papers focused on Topic Modeling (106 papers), Natural Language Processing Techniques (89 papers) and Speech and dialogue systems (18 papers). Kentaro Inui collaborates with scholars based in Japan, United States and United Kingdom. Kentaro Inui's co-authors include Yūji Matsumoto, Ryu Iida, Jun Suzuki, Nozomi Kobayashi, Tatsuki Kuribayashi, Shun Kiyono, Naoaki Okazaki, Sho Yokoi, Pontus Stenetorp and Masato Mita and has published in prestigious journals such as PLoS ONE, Machine Learning and Engineering Applications of Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Kentaro Inui i

Fields of papers citing papers by Kentaro Inui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kentaro Inui

Since Specialization
Citations

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