Yuto Nakashima

19 papers and 68 indexed citations i.

About

Yuto Nakashima is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Yuto Nakashima has authored 19 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 11 papers in Molecular Biology. Recurrent topics in Yuto Nakashima’s work include Algorithms and Data Compression (18 papers), semigroups and automata theory (12 papers) and DNA and Biological Computing (10 papers). Yuto Nakashima is often cited by papers focused on Algorithms and Data Compression (18 papers), semigroups and automata theory (12 papers) and DNA and Biological Computing (10 papers). Yuto Nakashima collaborates with scholars based in Japan, Germany and Finland. Yuto Nakashima's co-authors include Masayuki Takeda, Shunsuke Inenaga, Hideo Bannai, I Tomohiro, Juha Kärkkäinen, Arseny M. Shur, Dominik Kempa, Simon J. Puglisi, T. Takagi and Takashi Okabe and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Computer Science and Information and Computation.

In The Last Decade

Co-authorship network of co-authors of Yuto Nakashima i

Fields of papers citing papers by Yuto Nakashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuto Nakashima

Since Specialization
Citations

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