Masaki Saito

About

Masaki Saito is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Masaki Saito has authored 26 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Aerospace Engineering, 10 papers in Electrical and Electronic Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Masaki Saito’s work include Generative Adversarial Networks and Image Synthesis (5 papers), Plasma and Flow Control in Aerodynamics (5 papers) and Nuclear reactor physics and engineering (5 papers). Masaki Saito is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Plasma and Flow Control in Aerodynamics (5 papers) and Nuclear reactor physics and engineering (5 papers). Masaki Saito collaborates with scholars based in Japan, United States and Taiwan. Masaki Saito's co-authors include Shunta Saito, Eiichi Matsumoto, Toru Ogawa, Yoichi FUJII-E, Shoji Inoue, Masanori Koyama, Koichiro Deguchi, Takayuki Okatani, Sosuke Kobayashi and Tokuo Suita and has published in prestigious journals such as International Journal of Computer Vision, Japanese Journal of Applied Physics and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Co-authorship network of co-authors of Masaki Saito i

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Fields of papers citing papers by Masaki Saito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masaki Saito

Since Specialization

Citations

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