Jun Ota

5.7k citations
468 papers · 3.8k · h-index 26

Impact in

Papers in

Jun Ota

420 papers receiving 3.6k citations

Peers

Jun Ota
Comparison fields: 5 of 152
  • Industrial and Manufacturing Engineering 848
  • Computer Vision and Pattern Recognition 1.4k
  • Control and Systems Engineering 1.1k
  • Physical Therapy, Sports Therapy and Rehabilitation 165
  • Computer Networks and Communications 831
Replace Herman Bruyninckx with:
Herman Bruyninckx Belgium
Jingang Yi United States
Hajime Asama Japan
Jian Huang China
Weihua Sheng United States
Růžena Bajcsy United States
Jörg Krüger Germany
Didier Stricker Germany
Philippe Fraisse France
Yingzi Lin United States
Jun Ota relative to Herman Bruyninckx Belgium Herman Bruyninckx's profile →
Citations per field
00.5×1.5×2.4×
Herman Bruyninckx · 1×
Citations per year

Countries citing papers authored by Jun Ota

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 468 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015133
2 2003127
3 2006118
4 2000111
5 2002110
6 200298
7 199871
8 201957
9 200156
10
Motion Planning of Multiple Mobile Robots
199252
11 202246
12 201941
13 201537
14 200235
15 200234
16 201032
17 200732
18 201332
19 201729
20 200828

About Jun Ota

Jun Ota is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering and Computer Networks and Communications, having authored 468 papers that have together received 3.8k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (152 papers), Modular Robots and Swarm Intelligence (82 papers), Advanced Manufacturing and Logistics Optimization (80 papers), Robot Manipulation and Learning (78 papers), Robotics and Sensor-Based Localization (50 papers), Robotic Mechanisms and Dynamics (33 papers), Optimization and Search Problems (31 papers) and Scheduling and Optimization Algorithms (28 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (848 citations), Computer Vision and Pattern Recognition (1.4k citations), Control and Systems Engineering (1.1k citations), Physical Therapy, Sports Therapy and Rehabilitation (165 citations) and Computer Networks and Communications (831 citations). Jun Ota has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tamio Arai, Ryosuke Chiba, Hajime Asama, Masao Sugi, Eiichi Yoshida, Yanjiang Huang, Yasumichi AIYAMA, Daisuke Kurabayashi, Xianmin Zhang and Atsushi Yamashita. Their work appears in journals such as Advanced Robotics, Robotics and Autonomous Systems, International Journal of Automation Technology, Sensors and CIRP Annals.

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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