Daisuke Yamaguchi

1.0k total citations
137 papers, 768 citations indexed

About

Daisuke Yamaguchi is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Daisuke Yamaguchi has authored 137 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Control and Systems Engineering, 35 papers in Electrical and Electronic Engineering and 31 papers in Biomedical Engineering. Recurrent topics in Daisuke Yamaguchi's work include Magnetic Bearings and Levitation Dynamics (19 papers), Grey System Theory Applications (18 papers) and Soft Robotics and Applications (11 papers). Daisuke Yamaguchi is often cited by papers focused on Magnetic Bearings and Levitation Dynamics (19 papers), Grey System Theory Applications (18 papers) and Soft Robotics and Applications (11 papers). Daisuke Yamaguchi collaborates with scholars based in Japan, China and United States. Daisuke Yamaguchi's co-authors include Masatake Nagai, Guodong Li, Takefumi Kanda, Koichi Suzumori, Shiro Masuda, Kaijiang Yu, Junqi Yang, Takeshi Mizuno, Masaya TAKASAKI and Yuji ISHINO and has published in prestigious journals such as SHILAP Revista de lepidopterología, Experimental Brain Research and Sensors.

In The Last Decade

Daisuke Yamaguchi

117 papers receiving 743 citations

Peers

Daisuke Yamaguchi
Comparison fields: 5 of 114
  • Management Science and Operations Research 239
  • Electrical and Electronic Engineering 238
  • Control and Systems Engineering 235
  • Mechanical Engineering 118
  • Biomedical Engineering 97
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Citations per field, relative to Daisuke Yamaguchi
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Citations per year, relative to Daisuke Yamaguchi
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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

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 2
5 1
6 1
7 1
8
Study of the millimeter-wave propagation characteristics in the railway environment
1
9 10
10 18
11 2
12 0
13 3
14 0
15
Evaluation of Eco-Driving Skill Using Traffic Signals Status Information
1
16
Distinguishing driver intentions in visual distractions
1
17
An Experimental Seamless System Using MAS for Web Based Learning
2
18 1
19
A Grey-Based Approach to Suppliers Selection Problem.
27
20
264 MHz HTS Lumped Element Bandpass Filter
6

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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