Yutaka Matsuo

About

Yutaka Matsuo is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yutaka Matsuo has authored 6 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Yutaka Matsuo’s work include Advanced Text Analysis Techniques (3 papers), Semantic Web and Ontologies (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Yutaka Matsuo is often cited by papers focused on Advanced Text Analysis Techniques (3 papers), Semantic Web and Ontologies (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Yutaka Matsuo collaborates with scholars based in Japan. Yutaka Matsuo's co-authors include Mitsuru Ishizuka, Danushka Bollegala, Kenji Doya, Hiroki Matsui, Masahiro Hamasaki, Hiroshi Nagata, Takaaki Kaneko, Takuichi Nishimura, Masahiro Suzuki and Hideaki Takeda and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Soft Computing and Advanced Robotics.

In The Last Decade

Co-authorship network of co-authors of Yutaka Matsuo i

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Fields of papers citing papers by Yutaka Matsuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yutaka Matsuo

Since Specialization

Citations

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