Yusuke Maeda

1.4k citations
114 papers · 1.0k · h-index 17

Impact in

Papers in

Yusuke Maeda

99 papers receiving 959 citations

Peers

Yusuke Maeda
Comparison fields: 5 of 93
  • Industrial and Manufacturing Engineering 233
  • Control and Systems Engineering 491
  • Physical Therapy, Sports Therapy and Rehabilitation 41
  • Human-Computer Interaction 48
  • Management of Technology and Innovation 57
Replace Robin Passama with:
Robin Passama France
Philippe Bidaud France
P. Akella United States
Hegao Cai China
Roque Saltarén Spain
Kunikatsu Takase Japan
Eloise Matheson Switzerland
Birgit Graf Germany
Burkhard Corves Germany
Abolfazl Mohebbi Canada
Yusuke Maeda relative to Robin Passama France Robin Passama's profile →
Citations per field
00.5×10×13.7×
Robin Passama · 1×
Citations per year

Countries citing papers authored by Yusuke Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yusuke Maeda, 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 Yusuke Maeda Line = papers co-authored together Yusuke Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000113
2 200291
3 199869
4 202044
5 200240
6 200837
7 200234
8 200334
9 200425
10 200525
11 199922
12 201322
13 200320
14 200818
15 201218
16 200217
17
201117
18 200516
19 200616
20 200315

About Yusuke Maeda

Yusuke Maeda is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 114 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (60 papers), Robotic Mechanisms and Dynamics (34 papers), Soft Robotics and Applications (22 papers), Modular Robots and Swarm Intelligence (16 papers), Manufacturing Process and Optimization (14 papers), Balance, Gait, and Falls Prevention (10 papers), Robotic Path Planning Algorithms (10 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (233 citations), Control and Systems Engineering (491 citations), Physical Therapy, Sports Therapy and Rehabilitation (41 citations), Human-Computer Interaction (48 citations) and Management of Technology and Innovation (57 citations). Yusuke Maeda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tamio Arai, Masao Sugi, Yasumichi AIYAMA, Jun Ota, Hironobu Kikuchi, Taroh Kinoshita, Howard Riezman, Peter Gerold, Marı́a J. Mazón and Ralph Τ. Schwarz. Their work appears in journals such as Advanced Robotics, CIRP Annals, International Journal of Environmental Research and Public Health, Biochemical Journal and IEEE Robotics and Automation Letters.

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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