Akira Tamamori

16 papers and 336 indexed citations i.

About

Akira Tamamori is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Akira Tamamori has authored 16 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Akira Tamamori’s work include Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Akira Tamamori is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Akira Tamamori collaborates with scholars based in Japan. Akira Tamamori's co-authors include Tomoki Toda, Tomoki Hayashi, Kazuhiro Kobayashi, Kazuya Takeda, Keiichi Tokuda, Yoshihiko Nankaku, Kei Sawada, Yoshiaki Takahashi, Kei Hashimoto and Tomoko Matsui and has published in prestigious journals such as IEICE Transactions on Information and Systems, APSIPA Transactions on Signal and Information Processing and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Akira Tamamori i

Fields of papers citing papers by Akira Tamamori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akira Tamamori

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025