Takashi Yoshimi

80 papers receiving 552 citations

Peers

Takashi Yoshimi
Comparison fields: 5 of 74
  • Control and Systems Engineering 299
  • Computer Vision and Pattern Recognition 262
  • Biomedical Engineering 219
  • Aerospace Engineering 159
  • Mechanical Engineering 154
Replace Moon-Hong Baeg with:
Moon-Hong Baeg South Korea
M. Kakikura Japan
Jonathan Cacace Italy
Roi Poranne Israel
Franziska Zacharias Germany
Yuji Yamakawa Japan
K. Takase Japan
Marco Cognetti Italy
Kuan‐Ting Yu United States
Takashi Yoshimi relative to Moon-Hong Baeg South Korea Moon-Hong Baeg's profile →
Citations per field
00.5×1.6×
Moon-Hong Baeg · 1×
Citations per year

Countries citing papers authored by Takashi Yoshimi

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Yoshimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Yoshimi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 1
5 0
6 3
7 1
8 1
9
A study of egg breaking motion by single robot arm
1
10 2
11 1
12
Design of firmware update system of RT-Middleware for embedded system
1
13 0
14
Evaluation of intelligent battery using CANopen
1
15
Design and development of RT-component Plug and Play system for USB devices
1
16
Design of the redundant RTC-CANopen component
1
17 4
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GLOSSY OBJECT MEASUREMENT WITH THREE CAMERAS CORRELATION STEREO
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19
Vision-based virtual information and semi-autonomous behaviours for a humanoid robot
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20
Robust Curvature Vectors Calculation from Range Data Using ISL Method506.
3

About Takashi Yoshimi

Takashi Yoshimi is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 92 papers that have together received 612 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (27 papers), Robotics and Automated Systems (25 papers) and Robotics and Sensor-Based Localization (24 papers). The work is most often cited by research in Control and Systems Engineering (299 citations), Computer Vision and Pattern Recognition (262 citations) and Aerospace Engineering (159 citations). Takashi Yoshimi has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Fumiaki Tomita, Yoshihiro Kawai, Fumio Ozaki, Y. Sumi, Nobuto Matsuhira, Hirokazu Sato, Makoto Mizukawa, Kensuke Harada, Hideki Ogawa and Hiroshi Mizoguchi. Their work appears in journals such as International Journal of Computer Vision, Nuclear Fusion and Fusion Engineering and Design.

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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