Daisuke Yamaguchi

51 total papers · 1.0k total citations
22 papers, 724 citations indexed

About

Daisuke Yamaguchi is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Social Psychology. According to data from OpenAlex, Daisuke Yamaguchi has authored 22 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 8 papers in Computational Theory and Mathematics and 6 papers in Social Psychology. Recurrent topics in Daisuke Yamaguchi's work include Grey System Theory Applications (9 papers), Rough Sets and Fuzzy Logic (7 papers) and Multi-Criteria Decision Making (7 papers). Daisuke Yamaguchi is often cited by papers focused on Grey System Theory Applications (9 papers), Rough Sets and Fuzzy Logic (7 papers) and Multi-Criteria Decision Making (7 papers). Daisuke Yamaguchi collaborates with scholars based in Japan, Taiwan and Egypt. Daisuke Yamaguchi's co-authors include Masatake Nagai, Guodong Li, Guodong Li, Guodong Li, Shinji Imahori, Ryuhei Miyashiro, Tomomi Matsui, Toshihiro Kobayashi, Yoshihiro SUDA and Atsuo Murata and has published in prestigious journals such as Information Sciences, The International Journal of Advanced Manufacturing Technology and Mathematical and Computer Modelling.

In The Last Decade

Daisuke Yamaguchi

21 papers receiving 681 citations

Author Peers

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

Author Last Decade Papers Cites
Daisuke Yamaguchi 501 159 116 88 88 22 724
Ling‐Xiang Mao 396 0.8× 86 0.5× 99 0.9× 102 1.2× 82 0.9× 14 664
Qingxing Dong 391 0.8× 131 0.8× 86 0.7× 58 0.7× 186 2.1× 17 713
Sajid Siraj 357 0.7× 76 0.5× 81 0.7× 109 1.2× 118 1.3× 33 827
K. S. Ravichandran 498 1.0× 114 0.7× 113 1.0× 122 1.4× 124 1.4× 29 788
Ali Shemshadi 411 0.8× 236 1.5× 34 0.3× 87 1.0× 97 1.1× 20 910
Hsi-Mei Hsu 360 0.7× 72 0.5× 69 0.6× 134 1.5× 107 1.2× 17 741
E. Leonard Arnoff 348 0.7× 68 0.4× 47 0.4× 116 1.3× 97 1.1× 17 831
Xudong Chen 542 1.1× 170 1.1× 97 0.8× 176 2.0× 125 1.4× 22 787
Chunxia Yu 352 0.7× 259 1.6× 44 0.4× 76 0.9× 87 1.0× 43 784
Duško Tešić 483 1.0× 144 0.9× 37 0.3× 124 1.4× 66 0.8× 32 751

Countries citing papers authored by Daisuke Yamaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Yamaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Yamaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Yamaguchi. A scholar is included among the top collaborators of Daisuke Yamaguchi 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 Daisuke Yamaguchi. Daisuke Yamaguchi 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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