Masao Utiyama

134 papers and 1.3k indexed citations i.

About

Masao Utiyama is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Masao Utiyama has authored 134 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Artificial Intelligence, 40 papers in Computer Vision and Pattern Recognition and 8 papers in Molecular Biology. Recurrent topics in Masao Utiyama’s work include Natural Language Processing Techniques (116 papers), Topic Modeling (111 papers) and Multimodal Machine Learning Applications (27 papers). Masao Utiyama is often cited by papers focused on Natural Language Processing Techniques (116 papers), Topic Modeling (111 papers) and Multimodal Machine Learning Applications (27 papers). Masao Utiyama collaborates with scholars based in Japan, China and United States. Masao Utiyama's co-authors include Eiichiro Sumita, Rui Wang, Hitoshi Isahara, Kehai Chen, Lemao Liu, Hai Zhao, Bao‐Liang Lu, Tiejun Zhao, Andrew Finch and Zuchao Li and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Catalysis.

In The Last Decade

Co-authorship network of co-authors of Masao Utiyama i

Fields of papers citing papers by Masao Utiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masao Utiyama

Since Specialization
Citations

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