Masayuki Takeda

62 papers and 1.2k indexed citations i.

About

Masayuki Takeda is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Masayuki Takeda has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 26 papers in Molecular Biology and 24 papers in Computational Theory and Mathematics. Recurrent topics in Masayuki Takeda’s work include Algorithms and Data Compression (46 papers), semigroups and automata theory (22 papers) and DNA and Biological Computing (18 papers). Masayuki Takeda is often cited by papers focused on Algorithms and Data Compression (46 papers), semigroups and automata theory (22 papers) and DNA and Biological Computing (18 papers). Masayuki Takeda collaborates with scholars based in Japan, Germany and Italy. Masayuki Takeda's co-authors include Chisato Miyaura, K Konno, Tohru Yamazaki, Hiroshi Sakagami, Shusaku Yoshiki, Toshio Suda, Shunsuke Inenaga, Hideo Bannai, I Tomohiro and Ayumi Shinohara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Plant Physiology and SIAM Journal on Computing.

In The Last Decade

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

Fields of papers citing papers by Masayuki Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masayuki Takeda

Since Specialization
Citations

This map shows the geographic impact of Masayuki Takeda'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 Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Takeda 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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2025