Takuya Kobayashi
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Signal Processing
- Human-Computer Interaction
- Cognitive Neuroscience
- Co-authors
- Masakazu IwamuraKoichi KiseAkira KubotaYusuke SuzukiTakahiro MatsudaShogo ShimizuYoshimitsu AokiFaisal Shafait
- Topics
- Advanced Image and Video Retrieval Techniques (3 papers)Handwritten Text Recognition Techniques (2 papers)Image Retrieval and Classification Techniques (2 papers)
- Journals
- FoodsUWA Profiles and Research Repository (University of Western Australia)IEICE Technical Report; IEICE Tech. Rep.
In The Last Decade
Takuya Kobayashi
7 papers receiving 61 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 42
- Artificial Intelligence 16
- Signal Processing 14
- Human-Computer Interaction 12
- Cognitive Neuroscience 10
Countries citing papers authored by Takuya Kobayashi
This map shows the geographic impact of Takuya Kobayashi'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 Takuya Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Kobayashi more than expected).
Fields of papers citing papers by Takuya Kobayashi
This network shows the impact of papers produced by Takuya Kobayashi. 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 Takuya Kobayashi. The network helps show where Takuya Kobayashi may publish in the future.
Co-authorship network of co-authors of Takuya Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Kobayashi. A scholar is included among the top collaborators of Takuya Kobayashi 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 Takuya Kobayashi. Takuya Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 14 | |
| 5 | 16 | |
| 6 | 7 | |
| 7 | Recognition of Characters in Scenes by Using Geometric Contexts of Local Features | 0 |
| 8 | 16 |
About Takuya Kobayashi
Takuya Kobayashi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Media Technology, having authored 8 papers that have together received 67 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Handwritten Text Recognition Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (12 citations), Computer Vision and Pattern Recognition (42 citations) and Signal Processing (14 citations). Takuya Kobayashi has collaborated with scholars based in Japan, Italy and Germany. Frequent co-authors include Masakazu Iwamura, Koichi Kise, Akira Kubota, Yusuke Suzuki, Takahiro Matsuda, Shogo Shimizu, Yoshimitsu Aoki, Faisal Shafait, Andreas Dengel and Takashi Aoki. Their work appears in journals such as Foods, UWA Profiles and Research Repository (University of Western Australia) and IEICE Technical Report; IEICE Tech. Rep..
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.