Jun Ota

5.9k citations
510 papers · 4.5k · h-index 28

Impact in

Papers in

Jun Ota

461 papers receiving 4.2k citations

Peers

Jun Ota
Comparison fields: 5 of 128
  • Industrial and Manufacturing Engineering 793
  • Control and Systems Engineering 1.2k
  • Computer Vision and Pattern Recognition 958
  • Physical Therapy, Sports Therapy and Rehabilitation 177
  • Computer Networks and Communications 619
Replace Weihua Sheng with:
Weihua Sheng United States
Jingang Yi United States
Kazuhiro Kosuge Japan
Jian Huang China
Elizabeth A. Croft Canada
Philippe Fraisse France
Quang‐Cuong Pham Singapore
Ren C. Luo Taiwan
Yangsheng Xu Hong Kong
Yacine Amirat France
Jun Ota relative to Weihua Sheng United States Weihua Sheng's profile →
Citations per field
00.5×5×11.8×
Weihua Sheng · 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 510 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015154
2 2003147
3 2000138
4 2006136
5 2002118
6 2002113
7 199879
8 201966
9 200160
10 202259
11
Motion Planning of Multiple Mobile Robots
199256
12 200953
13 201944
14 200241
15 201041
16 200238
17 200737
18 201537
19 201333
20 201733

About Jun Ota

Jun Ota is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Human-Computer Interaction, having authored 510 papers that have together received 4.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (98 papers), Robot Manipulation and Learning (72 papers), Advanced Manufacturing and Logistics Optimization (59 papers), Robotic Mechanisms and Dynamics (45 papers), Distributed Control Multi-Agent Systems (30 papers), Control and Dynamics of Mobile Robots (29 papers), Muscle activation and electromyography studies (24 papers) and Robotics and Sensor-Based Localization (20 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (793 citations), Control and Systems Engineering (1.2k citations), Computer Vision and Pattern Recognition (958 citations), Physical Therapy, Sports Therapy and Rehabilitation (177 citations) and Computer Networks and Communications (619 citations). Jun Ota has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Tamio Arai, Hajime Asama, Ryosuke Chiba, Masao Sugi, Yanjiang Huang, Eiichi Yoshida, 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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