Itsumi Saito

11 papers and 59 indexed citations i.

About

Itsumi Saito is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Itsumi Saito has authored 11 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Itsumi Saito’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (4 papers). Itsumi Saito is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (4 papers). Itsumi Saito collaborates with scholars based in Japan. Itsumi Saito's co-authors include Hisako Asano, Kyosuke Nishida, Junji Tomita, Yoshihiro Matsuo, Atsushi Otsuka, Kosuke Nishida, Ryo Masumura, Takanobu Oba, Jun Suzuki and Yūji Matsumoto and has published in prestigious journals such as Language Resources and Evaluation, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Itsumi Saito i

Fields of papers citing papers by Itsumi Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Itsumi Saito

Since Specialization
Citations

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