Seiíchi Makino

About

Seiíchi Makino is a scholar working on Language and Linguistics, Artificial Intelligence and Literature and Literary Theory. According to data from OpenAlex, Seiíchi Makino has authored 15 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Language and Linguistics, 3 papers in Artificial Intelligence and 2 papers in Literature and Literary Theory. Recurrent topics in Seiíchi Makino’s work include Language, Discourse, Communication Strategies (3 papers), Natural Language Processing Techniques (3 papers) and Discourse Analysis in Language Studies (2 papers). Seiíchi Makino is often cited by papers focused on Language, Discourse, Communication Strategies (3 papers), Natural Language Processing Techniques (3 papers) and Discourse Analysis in Language Studies (2 papers). Seiíchi Makino collaborates with scholars based in United States and Japan. Seiíchi Makino's co-authors include Michio Tsutsui, Matsuo Soga, Gerald Mathias, R. Byron Bird, Jiří V. Neustupný, Kazuo Takahashi, Takuya Aoki, Hiroyuki Ishiwata and Hiroyuki Kato and has published in prestigious journals such as Lingua, Journal of Japanese Studies and The Journal of Toxicological Sciences.

In The Last Decade

Co-authorship network of co-authors of Seiíchi Makino i

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Fields of papers citing papers by Seiíchi Makino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seiíchi Makino

Since Specialization

Citations

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