Masashi Aono

61 papers and 1.1k indexed citations i.

About

Masashi Aono is a scholar working on Biomedical Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Masashi Aono has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 23 papers in Artificial Intelligence and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Masashi Aono’s work include Slime Mold and Myxomycetes Research (27 papers), Neural Networks and Reservoir Computing (17 papers) and Plant and Biological Electrophysiology Studies (15 papers). Masashi Aono is often cited by papers focused on Slime Mold and Myxomycetes Research (27 papers), Neural Networks and Reservoir Computing (17 papers) and Plant and Biological Electrophysiology Studies (15 papers). Masashi Aono collaborates with scholars based in Japan, United States and France. Masashi Aono's co-authors include Song-Ju Kim, Masahiko Hara, Makoto Naruse, Yukio‐Pegio Gunji, Soichiro Tsuda, Kazuyuki Aihara, Motoichi Ohtsu, Masashi Kunitake, Shinobu Uemura and Tamikuni Komatsu and has published in prestigious journals such as Journal of the American Chemical Society, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Co-authorship network of co-authors of Masashi Aono i

Fields of papers citing papers by Masashi Aono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masashi Aono

Since Specialization
Citations

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