S. Yuta

2.8k citations
102 papers · 1.8k · h-index 24

Impact in

Papers in

S. Yuta

98 papers receiving 1.6k citations

Peers

S. Yuta
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 1.1k
  • Control and Systems Engineering 785
  • Aerospace Engineering 786
  • Human-Computer Interaction 66
  • Instrumentation 33
Replace Woojin Chung with:
Woojin Chung South Korea
Youcef Mezouar France
Juan Andrade‐Cetto Spain
Luis Montano Spain
Tully Foote United States
Anthony Stentz United States
Udo Frese Germany
Kai‐Tai Song Taiwan
John Spletzer United States
Dezhen Song United States
S. Yuta relative to Woojin Chung South Korea Woojin Chung's profile →
Citations per field
00.5×1.5×
Woojin Chung · 1×
Citations per year

Countries citing papers authored by S. Yuta

Since Specialization
Citations

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

Fields of papers citing papers by S. Yuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Planning Paths of Complete Coverage of an Unstructured Environment by a Mobile Robot
2007199
2 2009102
3 200472
4 198869
5 200563
6 200253
7 200250
8 200250
9 200248
10 200242
11 200242
12 200242
13 200236
14 200235
15 200233
16 200233
17 199131
18 200230
19 200429
20 201029

About S. Yuta

S. Yuta is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (72 papers), Robotics and Sensor-Based Localization (48 papers), Robotics and Automated Systems (25 papers), Control and Dynamics of Mobile Robots (20 papers), Modular Robots and Swarm Intelligence (15 papers), Robotic Locomotion and Control (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Indoor and Outdoor Localization Technologies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Control and Systems Engineering (785 citations), Aerospace Engineering (786 citations), Human-Computer Interaction (66 citations) and Instrumentation (33 citations). S. Yuta has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Akihisa Ohya, Keiji Nagatani, T. Tsubouchi, Shoichi Maeyama, Alex Zelinsky, R.A. Jarvis, Jeffrey Byrne, Masahiro Tomono, Yutaka Kanayama and Toshinobu Takei. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Electronics, IEEE Transactions on Magnetics, The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) and PubMed.

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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