Yuto Nakashima

110 total papers · 477 total citations
29 papers, 71 citations indexed

About

Yuto Nakashima is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Yuto Nakashima has authored 29 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 15 papers in Molecular Biology and 15 papers in Computational Theory and Mathematics. Recurrent topics in Yuto Nakashima's work include Algorithms and Data Compression (25 papers), semigroups and automata theory (15 papers) and DNA and Biological Computing (13 papers). Yuto Nakashima is often cited by papers focused on Algorithms and Data Compression (25 papers), semigroups and automata theory (15 papers) and DNA and Biological Computing (13 papers). Yuto Nakashima collaborates with scholars based in Japan, Germany and Russia. Yuto Nakashima's co-authors include Hideo Bannai, Shunsuke Inenaga, Masayuki Takeda, I Tomohiro, S Kanda, Juha Kärkkäinen, Simon J. Puglisi, Ryo Yoshinaka, T. Takagi and Takashi Okabe and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Computer Science and Algorithmica.

In The Last Decade

Yuto Nakashima

18 papers receiving 70 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuto Nakashima 66 42 34 14 9 29 71
Markus L. Schmid 73 1.1× 25 0.6× 62 1.8× 8 0.6× 4 0.4× 34 98
Morgan Magnin 22 0.3× 52 1.2× 35 1.0× 9 0.6× 9 1.0× 24 93
Fabio Cunial 75 1.1× 75 1.8× 10 0.3× 16 1.1× 11 1.2× 17 104
Robert Mercaş 96 1.5× 81 1.9× 95 2.8× 3 0.2× 3 0.3× 32 132
Frédérique Bassino 93 1.4× 27 0.6× 88 2.6× 3 0.2× 3 0.3× 31 139
Cyril Nicaud 44 0.7× 15 0.4× 52 1.5× 4 0.3× 2 0.2× 20 67
Sabrina Mantaci 191 2.9× 114 2.7× 125 3.7× 20 1.4× 8 0.9× 24 240
Dominik Kempa 107 1.6× 54 1.3× 20 0.6× 47 3.4× 7 0.8× 25 116
Marcella Anselmo 81 1.2× 93 2.2× 94 2.8× 4 0.3× 28 123
Claudio Antares Mezzina 62 0.9× 8 0.2× 44 1.3× 17 1.2× 1 0.1× 23 88

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).

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.

Co-authorship network of co-authors of Yuto Nakashima

This figure shows the co-authorship network connecting the top 25 collaborators of Yuto Nakashima. A scholar is included among the top collaborators of Yuto Nakashima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuto Nakashima. Yuto Nakashima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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