Akihiro Tamura

35 papers and 492 indexed citations i.

About

Akihiro Tamura is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Akihiro Tamura has authored 35 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in Akihiro Tamura’s work include Natural Language Processing Techniques (24 papers), Topic Modeling (23 papers) and Multimodal Machine Learning Applications (5 papers). Akihiro Tamura is often cited by papers focused on Natural Language Processing Techniques (24 papers), Topic Modeling (23 papers) and Multimodal Machine Learning Applications (5 papers). Akihiro Tamura collaborates with scholars based in Japan, China and United States. Akihiro Tamura's co-authors include Tatsuhiko Tsunoda, Ken Fukuda, Toshiyuki Takagi, Eiichiro Sumita, Masao Utiyama, Lemao Liu, Taro Watanabe, Rui Wang, Kehai Chen and Tiejun Zhao and has published in prestigious journals such as Pattern Recognition Letters, IEEE Transactions on Consumer Electronics and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Co-authorship network of co-authors of Akihiro Tamura i

Fields of papers citing papers by Akihiro Tamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akihiro Tamura

Since Specialization
Citations

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