Wataru Takano
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Human-Computer Interaction top 2%
- Co-authors
- Yoshihiko NakamuraDana KulićKatsu YamaneA. MatsushitaKo YamamotoTomomichi SugiharaB. A. D. StockerSandra Hirche
- Topics
- Human Pose and Action Recognition (45 papers)Human Motion and Animation (33 papers)Action Observation and Synchronization (14 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Computer Vision
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Wataru Takano
70 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 656
- Control and Systems Engineering 496
- Artificial Intelligence 339
- Biomedical Engineering 276
- Human-Computer Interaction 194
Countries citing papers authored by Wataru Takano
This map shows the geographic impact of Wataru Takano'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 Wataru Takano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wataru Takano more than expected).
Fields of papers citing papers by Wataru Takano
This network shows the impact of papers produced by Wataru Takano. 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 Wataru Takano. The network helps show where Wataru Takano may publish in the future.
Co-authorship network of co-authors of Wataru Takano
This figure shows the co-authorship network connecting the top 25 collaborators of Wataru Takano. A scholar is included among the top collaborators of Wataru Takano 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 Wataru Takano. Wataru Takano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 32 | |
| 19 | Incremental learning of full body motions via adaptive Factorial Hidden Markov Models | 5 |
| 20 | 1 |
About Wataru Takano
Wataru Takano is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (45 papers), Human Motion and Animation (33 papers) and Action Observation and Synchronization (14 papers). The work is most often cited by research in Human-Computer Interaction (194 citations), Computer Vision and Pattern Recognition (656 citations) and Control and Systems Engineering (496 citations). Wataru Takano has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Yoshihiko Nakamura, Dana Kulić, Katsu Yamane, A. Matsushita, Ko Yamamoto, Tomomichi Sugihara, B. A. D. Stocker, Sandra Hirche, Yosuke Ikegami and Kazuki Yamamoto. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Computer Vision.
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.