Akinori Sato

About

Akinori Sato is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Akinori Sato has authored 18 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 4 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Akinori Sato’s work include Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers) and solar cell performance optimization (3 papers). Akinori Sato is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers) and solar cell performance optimization (3 papers). Akinori Sato collaborates with scholars based in Japan and Switzerland. Akinori Sato's co-authors include Motoi Iwata, Koichi Kise, Yuki Kudo, Kenji Araki, Kenichi Okumura, Taizo Masuda, Masafumi Yamaguchi, Tomoyuki Miyao, Kimito Funatsu and Swarit Jasial and has published in prestigious journals such as Solar Energy, Solar Energy Materials and Solar Cells and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Co-authorship network of co-authors of Akinori Sato i

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Fields of papers citing papers by Akinori Sato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akinori Sato

Since Specialization

Citations

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