Yutaka Satoh
About
In The Last Decade
Yutaka Satoh
85 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 1.9k
- Artificial Intelligence 889
- Biomedical Engineering 334
- Human-Computer Interaction 257
- Signal Processing 123
Countries citing papers authored by Yutaka Satoh
This map shows the geographic impact of Yutaka Satoh'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 Yutaka Satoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Satoh more than expected).
Fields of papers citing papers by Yutaka Satoh
This network shows the impact of papers produced by Yutaka Satoh. 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 Yutaka Satoh. The network helps show where Yutaka Satoh may publish in the future.
Co-authorship network of co-authors of Yutaka Satoh
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Satoh. A scholar is included among the top collaborators of Yutaka Satoh 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 Yutaka Satoh. Yutaka Satoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 25 | |
| 4 | 4 | |
| 5 | 20 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? breakdown → | 1351 |
| 10 | 21 | |
| 11 | Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition breakdown → | 413 |
| 12 | 0 | |
| 13 | 3 | |
| 14 | Robust Moving Object Detection Based on A Statistical Model | 1 |
| 15 | Statistical Reach Feature Method and Its Application to Template Matching. | 5 |
| 16 | Robust Background Subtraction by Statistic Reach Feature | 1 |
| 17 | Object Tracking using Renewal of a Background based on Radial Reach Filter | 2 |
| 18 | Robust Background Subtraction by Bi-polar Radial Reach Correlation | 2 |
| 19 | Robust Object Detection and Segmentation Based on Radial Reach Correlation. | 0 |
| 20 | Robust Object Detection by Radial Reach Filter | 6 |
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.