Michiharu Maeda

60 papers and 420 indexed citations i.

About

Michiharu Maeda is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michiharu Maeda has authored 60 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 19 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michiharu Maeda’s work include Neural Networks and Applications (13 papers), Advanced DC-DC Converters (11 papers) and Magnetic Properties and Applications (5 papers). Michiharu Maeda is often cited by papers focused on Neural Networks and Applications (13 papers), Advanced DC-DC Converters (11 papers) and Magnetic Properties and Applications (5 papers). Michiharu Maeda collaborates with scholars based in Japan, United States and China. Michiharu Maeda's co-authors include O. Ichinokura, Hiromi Miyajima, Michikazu Nakai, Takaharu Tanaka, Hidekazu Sasaki, Takashi Ooshima, Shigeyuki Hamada, Mutsumi Matsumoto, Andreas Ostermann and Ichiro Tanaka and has published in prestigious journals such as Journal of Power Sources, Journal of the Physical Society of Japan and Japanese Journal of Applied Physics.

In The Last Decade

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

Fields of papers citing papers by Michiharu Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michiharu Maeda

Since Specialization
Citations

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