Shu Yamada

70 total papers · 521 total citations
36 papers, 410 citations indexed

About

Shu Yamada is a scholar working on Management Science and Operations Research, Surgery and Computational Theory and Mathematics. According to data from OpenAlex, Shu Yamada has authored 36 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 7 papers in Surgery and 7 papers in Computational Theory and Mathematics. Recurrent topics in Shu Yamada's work include Optimal Experimental Design Methods (10 papers), Manufacturing Process and Optimization (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Shu Yamada is often cited by papers focused on Optimal Experimental Design Methods (10 papers), Manufacturing Process and Optimization (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Shu Yamada collaborates with scholars based in Japan and United States. Shu Yamada's co-authors include Dennis K. J. Lin, Tomomi Matsui, Hiroki Hashiguchi, Hirotaka Inoue, Takeshi Takahashi, Tadashi Kaneko, Masahiro Harada, Toshihiro Sakurai, Satoshi Hashimoto and Masaru Mimura and has published in prestigious journals such as Atherosclerosis, Psychiatry Research and The Journal of Biochemistry.

In The Last Decade

Shu Yamada

32 papers receiving 389 citations

Author Peers

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

Author						Papers	Cites
Shu Yamada	296	210	167	38	38	36	410
Edward R. Clayton	219 0.7×	45 0.2×	142 0.9×	10 0.3×	20 0.5×	27	477
Mohammad Ali Yaghoobi	242 0.8×	109 0.5×	26 0.2×	5 0.1×	45 1.2×	30	449
Jamison V. Kovach	214 0.7×	114 0.5×	91 0.5×	2 0.1×	130 3.4×	49	487
Chantal Baril	57 0.2×	38 0.2×	81 0.5×	50 1.3×	45 1.2×	23	487
Parham Azimi	52 0.2×	24 0.1×	147 0.9×	4 0.1×	63 1.7×	44	392
Lori S. Franz	182 0.6×	22 0.1×	131 0.8×	19 0.5×	4 0.1×	23	376
Chun-Lang Chang	79 0.3×	28 0.1×	60 0.4×	2 0.1×	47 1.2×	15	385
Hirotaka Sakasegawa	95 0.3×	50 0.2×	144 0.9×	4 0.1×	9 0.2×	18	389
Michael H. Veatch	60 0.2×	32 0.2×	225 1.3×	5 0.1×	14 0.4×	26	431
Surajit Pal	111 0.4×	38 0.2×	46 0.3×		165 4.3×	37	377

Countries citing papers authored by Shu Yamada

Since Specialization

Citations

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

Fields of papers citing papers by Shu Yamada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Yamada

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