Kobayashi Hideyuki

520 citations
18 papers · 430 indexed · h-index 9
Topics
Teleoperation and Haptic Systems (4 papers)Robot Manipulation and Learning (3 papers)IoT-based Smart Home Systems (2 papers)
Partner nations
JapanUnited StatesPoland

In The Last Decade

Kobayashi Hideyuki

14 papers receiving 422 citations

Peers

Kobayashi Hideyuki
Comparison fields: 5 of 85
  • Control and Systems Engineering 147
  • Mechanical Engineering 132
  • Molecular Biology 110
  • Surgery 69
  • Cell Biology 57
Replace Yasutaka Nakashima with:
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Jia-Bin Pan China
Shiqian Huang China
Daniel Cox United States
Yutaka Takaoka Japan
Bo Dou China
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Kobayashi Hideyuki relative to Yasutaka Nakashima Japan Yasutaka Nakashima's profile →
Citations per field
00.5×2.8×
Yasutaka Nakashima · 1×
Citations per year

Countries citing papers authored by Kobayashi Hideyuki

Since Specialization
Citations

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

Fields of papers citing papers by Kobayashi Hideyuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kobayashi Hideyuki

This figure shows the co-authorship network connecting the top 25 collaborators of Kobayashi Hideyuki. A scholar is included among the top collaborators of Kobayashi Hideyuki 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 Kobayashi Hideyuki. Kobayashi Hideyuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3
A simple rule based multi-agent control algorithm and its implementation using autonomous mobile robots
0
4 1
5 1
6 164
7 67
8 0
9 5
10 1
11 47
12 14
13 42
14 19
15
[A case of rheumatoid arthritis with bucillamine-induced myasthenia gravis treated by immunoadsorption therapy].
2
16 28
17
PSK as a chemopreventive agent.
27
18
Enhancing effect of quercetin on 3-methylcholanthrene carcinogenesis in C57Bl/6 mice.
12

About Kobayashi Hideyuki

Kobayashi Hideyuki is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Mechanical Engineering, having authored 18 papers that have together received 430 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (4 papers), Robot Manipulation and Learning (3 papers) and IoT-based Smart Home Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (147 citations), Mechanical Engineering (132 citations) and Cell Biology (57 citations). Kobayashi Hideyuki has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Seiichiro Katsura, Kouhei Ohnishi, Kazuo Sugamura, Masanao Kyuuma, Kenichi Matsunaga, Masahiko Fujii, Katsuo Sueishi, Naoto Ishii, Yoshikazu Yonemitsu and Fumiyasu Sato. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and IEEE Transactions on Industrial Electronics.

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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