Masayuki Ikebe

About

Masayuki Ikebe is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Masayuki Ikebe has authored 56 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 18 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in Masayuki Ikebe’s work include CCD and CMOS Imaging Sensors (13 papers), Advanced Memory and Neural Computing (12 papers) and Advanced Neural Network Applications (8 papers). Masayuki Ikebe is often cited by papers focused on CCD and CMOS Imaging Sensors (13 papers), Advanced Memory and Neural Computing (12 papers) and Advanced Neural Network Applications (8 papers). Masayuki Ikebe collaborates with scholars based in Japan. Masayuki Ikebe's co-authors include Tetsuya Asai, Masato Motomura, Shinya Takamaeda-Yamazaki, Kota Ando, Kodai Ueyoshi, Hiroki Nakahara, Haruyoshi Yonekawa, Shimpei Sato, Tadahiro Kuroda and Yoshihito Amemiya and has published in prestigious journals such as Japanese Journal of Applied Physics, IEEE Journal of Solid-State Circuits and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

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

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Fields of papers citing papers by Masayuki Ikebe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masayuki Ikebe

Since Specialization

Citations

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