Jun Miura

155 papers and 1.8k indexed citations i.

About

Jun Miura is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Jun Miura has authored 155 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Computer Vision and Pattern Recognition, 73 papers in Aerospace Engineering and 30 papers in Control and Systems Engineering. Recurrent topics in Jun Miura’s work include Robotics and Sensor-Based Localization (73 papers), Robotic Path Planning Algorithms (48 papers) and Video Surveillance and Tracking Methods (37 papers). Jun Miura is often cited by papers focused on Robotics and Sensor-Based Localization (73 papers), Robotic Path Planning Algorithms (48 papers) and Video Surveillance and Tracking Methods (37 papers). Jun Miura collaborates with scholars based in Japan, Indonesia and Italy. Jun Miura's co-authors include Kenji Koide, Y. Shirai, Yubao Liu, Yoshiaki Shirai, Emanuele Menegatti, Kiyosumi Kidono, Shuji Oishi, Igi Ardiyanto, Takashi Naito and Akihiro Watanabe and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Resources Conservation and Recycling.

In The Last Decade

Co-authorship network of co-authors of Jun Miura i

Fields of papers citing papers by Jun Miura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Miura

Since Specialization
Citations

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