Koichi Ogawara
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Human-Computer Interaction top 2%
- Artificial Intelligence top 10%
- Co-authors
- Katsushi IkeuchiHiroshi KimuraJun TakamatsuRyo KurazumeYumi IwashitaKeni BernardinRuediger DillmannMiti Ruchanurucks
- Topics
- Robot Manipulation and Learning (25 papers)Advanced Vision and Imaging (12 papers)Robotic Mechanisms and Dynamics (11 papers)
- Cited by
- Human-Computer InteractionControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- PLoS ONEIEEE Transactions on Industrial ElectronicsThe International Journal of Robotics Research
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Koichi Ogawara
48 papers receiving 645 citations
Peers
Comparison fields: 5 of 57
- Control and Systems Engineering 396
- Computer Vision and Pattern Recognition 344
- Biomedical Engineering 232
- Human-Computer Interaction 167
- Artificial Intelligence 118
Countries citing papers authored by Koichi Ogawara
This map shows the geographic impact of Koichi Ogawara'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 Koichi Ogawara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Ogawara more than expected).
Fields of papers citing papers by Koichi Ogawara
This network shows the impact of papers produced by Koichi Ogawara. 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 Koichi Ogawara. The network helps show where Koichi Ogawara may publish in the future.
Co-authorship network of co-authors of Koichi Ogawara
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Ogawara. A scholar is included among the top collaborators of Koichi Ogawara 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 Koichi Ogawara. Koichi Ogawara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | Marker-less facial motion capture based on the parts recognition | 0 |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 26 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 16 | |
| 15 | A Hidden Markov Model Based Sensor Fusion Approach for Recognizing Continuous Human Grasping Sequences | 4 |
| 16 | 18 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 14 | |
| 20 | 1 |
About Koichi Ogawara
Koichi Ogawara is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering, having authored 53 papers that have together received 686 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (25 papers), Advanced Vision and Imaging (12 papers) and Robotic Mechanisms and Dynamics (11 papers). The work is most often cited by research in Human-Computer Interaction (167 citations), Control and Systems Engineering (396 citations) and Computer Vision and Pattern Recognition (344 citations). Koichi Ogawara has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Katsushi Ikeuchi, Hiroshi Kimura, Jun Takamatsu, Ryo Kurazume, Yumi Iwashita, Keni Bernardin, Ruediger Dillmann, Miti Ruchanurucks, Shunsuke Kudoh and Soshi Iba. Their work appears in journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and The International Journal of Robotics Research.
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.