Masami Akamine

41 papers and 268 indexed citations i.

About

Masami Akamine is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Masami Akamine has authored 41 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 33 papers in Signal Processing and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Masami Akamine’s work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (28 papers) and Music and Audio Processing (17 papers). Masami Akamine is often cited by papers focused on Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (28 papers) and Music and Audio Processing (17 papers). Masami Akamine collaborates with scholars based in Japan, South Korea and United Kingdom. Masami Akamine's co-authors include Javier Latorre, Mark Gales, Yannis Stylianou, Thomas Drugman, Vincent Wan, Ranniery Maia, Kate Knill, Yamato Ohtani, Yusuke Shinohara and Jitendra Ajmera and has published in prestigious journals such as IEEE Signal Processing Letters, IEEE Journal of Selected Topics in Signal Processing and Speech Communication.

In The Last Decade

Co-authorship network of co-authors of Masami Akamine i

Fields of papers citing papers by Masami Akamine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masami Akamine

Since Specialization
Citations

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