Hirokazu Taki
- Computer Vision and Pattern Recognition
- Cognitive Neuroscience
- Human-Computer Interaction top 10%
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Co-authors
- Kazuaki TanakaN. AbeNoriyuki MatsudaT. HorieAtsuko YamazakiTakashi ShimaFujiichi YoshimotoT. Yagi
- Topics
- Human Motion and Animation (12 papers)Robotics and Automated Systems (7 papers)EEG and Brain-Computer Interfaces (5 papers)
- Journals
- Future Generation Computer SystemsVirtual RealityResearch and Practice in Technology Enhanced Learning
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Hirokazu Taki
49 papers receiving 164 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 53
- Cognitive Neuroscience 48
- Human-Computer Interaction 47
- Control and Systems Engineering 44
- Industrial and Manufacturing Engineering 19
Countries citing papers authored by Hirokazu Taki
This map shows the geographic impact of Hirokazu Taki'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 Hirokazu Taki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hirokazu Taki more than expected).
Fields of papers citing papers by Hirokazu Taki
This network shows the impact of papers produced by Hirokazu Taki. 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 Hirokazu Taki. The network helps show where Hirokazu Taki may publish in the future.
Co-authorship network of co-authors of Hirokazu Taki
This figure shows the co-authorship network connecting the top 25 collaborators of Hirokazu Taki. A scholar is included among the top collaborators of Hirokazu Taki 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 Hirokazu Taki. Hirokazu Taki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | Development of A Typing Skill Learning Support Environment by using Augmented Reality | 1 |
| 9 | 3 | |
| 10 | Design and Development of A Learning Support Environment for Apple Peeling by Data Gloves | 2 |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | Real Time Advice System for Sketch Learning | 0 |
| 18 | 0 | |
| 19 | 5 | |
| 20 | Knowledge Acquisition by Observation. | 0 |
About Hirokazu Taki
Hirokazu Taki is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 173 indexed citations. Recurring topics across this work include Human Motion and Animation (12 papers), Robotics and Automated Systems (7 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Human-Computer Interaction (47 citations), Computer Vision and Pattern Recognition (53 citations) and Cognitive Neuroscience (48 citations). Hirokazu Taki has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Kazuaki Tanaka, N. Abe, Noriyuki Matsuda, T. Horie, Atsuko Yamazaki, Takashi Shima, Fujiichi Yoshimoto, T. Yagi, Masafumi MIWA and Takashi Washio. Their work appears in journals such as Future Generation Computer Systems, Virtual Reality and Research and Practice in Technology Enhanced Learning.
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.