Hirofumi Inaguma

34 papers and 699 indexed citations i.

About

Hirofumi Inaguma is a scholar working on Artificial Intelligence, Signal Processing and Industrial relations. According to data from OpenAlex, Hirofumi Inaguma has authored 34 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 12 papers in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Hirofumi Inaguma’s work include Speech Recognition and Synthesis (29 papers), Natural Language Processing Techniques (21 papers) and Topic Modeling (18 papers). Hirofumi Inaguma is often cited by papers focused on Speech Recognition and Synthesis (29 papers), Natural Language Processing Techniques (21 papers) and Topic Modeling (18 papers). Hirofumi Inaguma collaborates with scholars based in Japan, United States and France. Hirofumi Inaguma's co-authors include Shinji Watanabe, Tatsuya Kawahara, Wangyou Zhang, Tomoki Hayashi, Masato Mimura, Yosuke Higuchi, Shigeki Karita, Takaaki Hori, Nanxin Chen and Xiaofei Wang and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Hirofumi Inaguma i

Fields of papers citing papers by Hirofumi Inaguma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hirofumi Inaguma

Since Specialization
Citations

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