Masayuki Murakami

36 papers and 219 indexed citations i.

About

Masayuki Murakami is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Masayuki Murakami has authored 36 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Masayuki Murakami’s work include Neural Networks and Applications (7 papers), Fuzzy Logic and Control Systems (5 papers) and Online and Blended Learning (3 papers). Masayuki Murakami is often cited by papers focused on Neural Networks and Applications (7 papers), Fuzzy Logic and Control Systems (5 papers) and Online and Blended Learning (3 papers). Masayuki Murakami collaborates with scholars based in Japan, United States and Taiwan. Masayuki Murakami's co-authors include Nakaji Honda, Hidefumi Kobatake, Shigeru Nawano, Koh Kakusho, Michihiko Minoh, Weijane Lin, Hsiu‐Ping Yueh, Yiling Liu, Yasuhiro Shimizu and Takeo Hyodo and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Co-authorship network of co-authors of Masayuki Murakami i

Fields of papers citing papers by Masayuki Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masayuki Murakami

Since Specialization
Citations

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