Tarο Kageyama

14 papers and 113 indexed citations i.

About

Tarο Kageyama is a scholar working on Language and Linguistics, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, Tarο Kageyama has authored 14 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Language and Linguistics, 4 papers in Artificial Intelligence and 3 papers in Linguistics and Language. Recurrent topics in Tarο Kageyama’s work include Syntax, Semantics, Linguistic Variation (5 papers), Linguistic Variation and Morphology (3 papers) and Natural Language Processing Techniques (3 papers). Tarο Kageyama is often cited by papers focused on Syntax, Semantics, Linguistic Variation (5 papers), Linguistic Variation and Morphology (3 papers) and Natural Language Processing Techniques (3 papers). Tarο Kageyama collaborates with scholars based in Japan and United States. Tarο Kageyama's co-authors include Masayoshi Shibatani, Yoko Hasegawa, Haruo Kubozono, Heiko Narrog, Timothy J. Vance, Hideki Kishimoto, Yoko Hasegawa, Wesley M. Jacobsen, Kaoru Horie and Bjarke Frellesvig and has published in prestigious journals such as Language, Lingua and Journal of Japanese Linguistics.

In The Last Decade

Co-authorship network of co-authors of Tarο Kageyama i

Fields of papers citing papers by Tarο Kageyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tarο Kageyama

Since Specialization
Citations

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