Takayoshi Shoudai

24 papers and 52 indexed citations i.

About

Takayoshi Shoudai is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Takayoshi Shoudai has authored 24 papers receiving a total of 52 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 5 papers in Molecular Biology. Recurrent topics in Takayoshi Shoudai’s work include Algorithms and Data Compression (14 papers), Machine Learning and Algorithms (11 papers) and semigroups and automata theory (8 papers). Takayoshi Shoudai is often cited by papers focused on Algorithms and Data Compression (14 papers), Machine Learning and Algorithms (11 papers) and semigroups and automata theory (8 papers). Takayoshi Shoudai collaborates with scholars based in Japan. Takayoshi Shoudai's co-authors include Tomoyuki Uchida, Tetsuhiro Miyahara, Yusuke Suzuki, Satoru Miyano, Satoshi Matsumoto, Takashi Yamada, Hiroshi Ohtsuka, Takashi Uchida, Ayumi Shinohara and Yuta Suzuki and has published in prestigious journals such as Machine Learning, Journal of Mathematical Physics and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Takayoshi Shoudai i

Fields of papers citing papers by Takayoshi Shoudai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Takayoshi Shoudai

Since Specialization
Citations

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