M. Fukuchi

698 citations
15 papers · 490 indexed · h-index 8
Topics
Robotic Locomotion and Control (7 papers)Robotics and Sensor-Based Localization (7 papers)Robotic Path Planning Algorithms (6 papers)
Partner nations
JapanUnited StatesTaiwan

In The Last Decade

M. Fukuchi

14 papers receiving 451 citations

Peers

M. Fukuchi
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 313
  • Biomedical Engineering 253
  • Aerospace Engineering 227
  • Control and Systems Engineering 130
  • Mechanical Engineering 36
Replace Shoichi Maeyama with:
Shoichi Maeyama Japan
Jin-Woo Jung South Korea
Nicolas Hudson United States
Junyao Gao China
Ribin Balachandran Germany
Miti Ruchanurucks Thailand
K. Takase Japan
Giuseppe Andrea Fontanelli Italy
Zainan Jiang China
Huixu Dong China
M. Fukuchi relative to Shoichi Maeyama Japan Shoichi Maeyama's profile →
Citations per field
00.5×4.1×
Shoichi Maeyama · 1×
Citations per year

Countries citing papers authored by M. Fukuchi

Since Specialization
Citations

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

Fields of papers citing papers by M. Fukuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Fukuchi

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 4
2 11
3 0
4 3
5 89
6 17
7 54
8 67
9
Real-time path planning for humanoid robot navigation
66
10 132
11 4
12 3
13 3
14 35
15 2

About M. Fukuchi

M. Fukuchi is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering, having authored 15 papers that have together received 490 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (7 papers), Robotics and Sensor-Based Localization (7 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (313 citations), Aerospace Engineering (227 citations) and Biomedical Engineering (253 citations). M. Fukuchi has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Masahiro Fujita, J.-S. Gutmann, Jens-Steffen Gutmann, Kenta Kawamoto, Atsushi Yamashita, Jun Ota, Tamio Arai, Hajime Asama, Christof Koch and Naotsugu Tsuchiya. Their work appears in journals such as PLoS ONE, The International Journal of Robotics Research and Journal of Vision.

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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