Akira Maeda

37 papers and 230 indexed citations i.

About

Akira Maeda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Akira Maeda has authored 37 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Akira Maeda’s work include Image Retrieval and Classification Techniques (6 papers), Natural Language Processing Techniques (6 papers) and Semantic Web and Ontologies (5 papers). Akira Maeda is often cited by papers focused on Image Retrieval and Classification Techniques (6 papers), Natural Language Processing Techniques (6 papers) and Semantic Web and Ontologies (5 papers). Akira Maeda collaborates with scholars based in Japan and United States. Akira Maeda's co-authors include Koichi Sano, Tōru Yokoyama, T. Yamada, Keisuke Okada, K. Mashiko, S. Kayano, H. Kondoh, Hirofumi Shinohara, K. Mori and K. Toda and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Medical Imaging and IEEE Journal of Solid-State Circuits.

In The Last Decade

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

Fields of papers citing papers by Akira Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akira Maeda

Since Specialization
Citations

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