Shingo Murata

78 papers receiving 2.6k citations

Shingo Murata's Hit Papers

M-TRAN: self-reconfigurable modular robotic system 2002 · 466 citations
4660+8+16Years since publication100200300400

Peers

Shingo Murata
Comparison fields: 5 of 106
  • Condensed Matter Physics 930
  • Mechanical Engineering 2.1k
  • Computer Networks and Communications 630
  • Control and Systems Engineering 562
  • Biomedical Engineering 858
Replace Michaël Bonani with:
Michaël Bonani Switzerland
Kohji Tomita Japan
Kasper Støy Denmark
Behnam Salemi United States
Zack Butler United States
Tony J. Dodd United Kingdom
H.E. Stephanou United States
Josie Hughes Switzerland
Yangsheng Xu Hong Kong
Stefano Scheggi Italy
Shingo Murata relative to Michaël Bonani Switzerland Michaël Bonani's profile →
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Citations per year

Countries citing papers authored by Shingo Murata

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Murata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shingo Murata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shingo Murata Line = papers co-authored together Shingo Murata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
M-TRAN: self-reconfigurable modular robotic system
Hit paper breakdown →
2002466
2 2002271
3 2007184
4 2005184
5 2002179
6 1999126
7 2002124
8 200273
9 200467
10 200763
11 200554
12 200254
13 201352
14 200545
15 200344
16 202341
17 200540
18 200340
19 201538
20 200236

About Shingo Murata

Shingo Murata is a scholar working on Mechanical Engineering, Control and Systems Engineering, Cognitive Neuroscience, Artificial Intelligence and Biomedical Engineering, having authored 84 papers that have together received 2.7k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (28 papers), Robot Manipulation and Learning (22 papers), Advanced Materials and Mechanics (15 papers), Micro and Nano Robotics (12 papers), Neural dynamics and brain function (12 papers), Soft Robotics and Applications (9 papers), Neural Networks and Applications (9 papers) and Reinforcement Learning in Robotics (9 papers). The work is most often cited by research in Condensed Matter Physics (930 citations), Mechanical Engineering (2.1k citations), Computer Networks and Communications (630 citations), Control and Systems Engineering (562 citations) and Biomedical Engineering (858 citations). Shingo Murata has collaborated with scholars based in Japan, South Korea and United Kingdom. Frequent co-authors include S. Kokaji, H. Kurokawa, Kohji Tomita, Eiichi Yoshida, Akiya Kamimura, Hiroaki Kurokawa, Tetsuya Ogata, Hiroaki Arie, Shigeki Sugano and Jun Tani. Their work appears in journals such as Frontiers in Neurorobotics, IEEE Robotics & Automation Magazine, Advanced Robotics, IEEE/ASME Transactions on Mechatronics and IEEE Transactions on Human-Machine Systems.

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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