Shoichi Maeyama

53 papers and 112 indexed citations i.

About

Shoichi Maeyama is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Shoichi Maeyama has authored 53 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 23 papers in Aerospace Engineering and 22 papers in Control and Systems Engineering. Recurrent topics in Shoichi Maeyama’s work include Robotic Path Planning Algorithms (32 papers), Robotics and Sensor-Based Localization (19 papers) and Control and Dynamics of Mobile Robots (13 papers). Shoichi Maeyama is often cited by papers focused on Robotic Path Planning Algorithms (32 papers), Robotics and Sensor-Based Localization (19 papers) and Control and Dynamics of Mobile Robots (13 papers). Shoichi Maeyama collaborates with scholars based in Japan, Slovenia and United States. Shoichi Maeyama's co-authors include Keigo Watanabe, Shin’ichi Yuta, Akihisa Ohya, Isaku Nagai, Kiyotaka Izumi, Akio Gofuku, Muhammad Juhairi Aziz Safar, Tatsuya Kato, Akira Harada and Yutaka TANAKA and has published in prestigious journals such as Advanced Robotics, International Journal of Automation Technology and Journal of Physics Conference Series.

In The Last Decade

Co-authorship network of co-authors of Shoichi Maeyama i

Fields of papers citing papers by Shoichi Maeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shoichi Maeyama

Since Specialization
Citations

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