Masakazu Ejiri

28 papers and 223 indexed citations i.

About

Masakazu Ejiri is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Aerospace Engineering. According to data from OpenAlex, Masakazu Ejiri has authored 28 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Industrial and Manufacturing Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Masakazu Ejiri’s work include Industrial Vision Systems and Defect Detection (10 papers), Image and Object Detection Techniques (9 papers) and Digital Image Processing Techniques (8 papers). Masakazu Ejiri is often cited by papers focused on Industrial Vision Systems and Defect Detection (10 papers), Image and Object Detection Techniques (9 papers) and Digital Image Processing Techniques (8 papers). Masakazu Ejiri collaborates with scholars based in Japan, United States and United Kingdom. Masakazu Ejiri's co-authors include Takeshi Uno, William D. O’Neill, Takafumi Miyatake, Hitoshi Matsushima, Shigeru Shimada, Dragutin Petković, John Wilder, Ramesh Jain, Jack Sklansky and P.A. Ruetz and has published in prestigious journals such as Vision Research, IEEE Transactions on Computers and Robotics and Autonomous Systems.

In The Last Decade

Co-authorship network of co-authors of Masakazu Ejiri i

Fields of papers citing papers by Masakazu Ejiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masakazu Ejiri

Since Specialization
Citations

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