Yusuke Maeda

1.4k citations
124 papers · 1.2k · h-index 18

Impact in

Papers in

Yusuke Maeda

108 papers receiving 1.1k citations

Peers

Yusuke Maeda
Comparison fields: 5 of 97
  • Industrial and Manufacturing Engineering 271
  • Control and Systems Engineering 551
  • Physical Therapy, Sports Therapy and Rehabilitation 44
  • Human-Computer Interaction 56
  • Computer Vision and Pattern Recognition 186
Replace André Crosnier with:
André Crosnier France
Philippe Bidaud France
Robin Passama France
Przemyslaw A. Lasota United States
P. Akella United States
Miguel Hernando Spain
Vincent Padois France
Roque Saltarén Spain
Olivier Gibaru France
Kunikatsu Takase Japan
Yusuke Maeda relative to André Crosnier France André Crosnier's profile →
Citations per field
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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 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000134
2 2002100
3 199875
4 202044
5 200243
6 200841
7 200337
8 200235
9 200529
10 199926
11 200325
12 200425
13 201322
14 201219
15 200218
16 200818
17
201118
18 200317
19 200617
20 200516

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 124 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (65 papers), Robotic Mechanisms and Dynamics (37 papers), Soft Robotics and Applications (24 papers), Modular Robots and Swarm Intelligence (17 papers), Manufacturing Process and Optimization (15 papers), Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (11 papers) and Balance, Gait, and Falls Prevention (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (271 citations), Control and Systems Engineering (551 citations), Physical Therapy, Sports Therapy and Rehabilitation (44 citations), Human-Computer Interaction (56 citations) and Computer Vision and Pattern Recognition (186 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, Marı́a J. Mazón, Christine Sütterlin, Ralph Τ. Schwarz and Howard Riezman. Their work appears in journals such as Advanced Robotics, CIRP Annals, Biochemical Journal, International Journal of Environmental Research and Public Health 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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