Shigeru Takano
- Ophthalmology top 5%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Epidemiology
- Signal Processing
- Co-authors
- Koichi NiijimaMasakazu YamadaYoshimune HiratsukaM. Lynne PezzulloKensaku MiyakeHugh R. TaylorMuhammad HussainYumihiko Yano
- Topics
- Image and Signal Denoising Methods (11 papers)Advanced Data Compression Techniques (7 papers)Image Retrieval and Classification Techniques (6 papers)
In The Last Decade
Shigeru Takano
41 papers receiving 265 citations
Peers
Comparison fields: 5 of 87
- Ophthalmology 121
- Radiology, Nuclear Medicine and Imaging 93
- Computer Vision and Pattern Recognition 75
- Epidemiology 54
- Signal Processing 27
Countries citing papers authored by Shigeru Takano
This map shows the geographic impact of Shigeru 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 Shigeru Takano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Takano more than expected).
Fields of papers citing papers by Shigeru Takano
This network shows the impact of papers produced by Shigeru 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 Shigeru Takano. The network helps show where Shigeru Takano may publish in the future.
Co-authorship network of co-authors of Shigeru Takano
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Takano. A scholar is included among the top collaborators of Shigeru 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 Shigeru Takano. Shigeru 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 | 4 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | Towards activity recognition of learners in on-line lecture | 2 |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 138 | |
| 12 | 1 | |
| 13 | Robust person authentication using dyadic wavelet filters learned by cosine-maximization | 0 |
| 14 | 8 | |
| 15 | 1 | |
| 16 | Jolly Pochie 2004 in the Four Legged Robot League | 1 |
| 17 | 5 | |
| 18 | 7 | |
| 19 | Extraction of Subimages by Lifting Wavelet Filters | 2 |
| 20 | 5 |
About Shigeru Takano
Shigeru Takano is a scholar working on Computer Vision and Pattern Recognition, Transportation and Media Technology, having authored 46 papers that have together received 279 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), Advanced Data Compression Techniques (7 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Ophthalmology (121 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Computer Vision and Pattern Recognition (75 citations). Shigeru Takano has collaborated with scholars based in Japan, France and Australia. Frequent co-authors include Koichi Niijima, Masakazu Yamada, Yoshimune Hiratsuka, M. Lynne Pezzullo, Kensaku Miyake, Hugh R. Taylor, Muhammad Hussain, Yumihiko Yano, Yoshihiro Okada and Waichiro Tagaki. Their work appears in journals such as IEEE Access, American Journal of Ophthalmology and Signal Processing.
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.