Ryo Masumura

94 papers and 376 indexed citations i.

About

Ryo Masumura is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ryo Masumura has authored 94 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Artificial Intelligence, 33 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ryo Masumura’s work include Speech Recognition and Synthesis (69 papers), Natural Language Processing Techniques (49 papers) and Topic Modeling (30 papers). Ryo Masumura is often cited by papers focused on Speech Recognition and Synthesis (69 papers), Natural Language Processing Techniques (49 papers) and Topic Modeling (30 papers). Ryo Masumura collaborates with scholars based in Japan, United States and France. Ryo Masumura's co-authors include Yushi Aono, Tomohiro Tanaka, Hirokazu Masataki, Takanobu Oba, Yusuke Shinohara, Akihiko Takashima, Akinori Ito, Kyosuke Nishida, Ryuichiro Higashinaka and Masahiro Yasuda and has published in prestigious journals such as IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Ryo Masumura i

Fields of papers citing papers by Ryo Masumura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ryo Masumura

Since Specialization
Citations

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