Takuma Yagi
About
In The Last Decade
Takuma Yagi
3 papers receiving 15 citations
Peers
Comparison fields: 5 of 11
- Computer Vision and Pattern Recognition 12
- Artificial Intelligence 6
- Control and Systems Engineering 5
- Human-Computer Interaction 3
- Biomedical Engineering 3
Countries citing papers authored by Takuma Yagi
This map shows the geographic impact of Takuma Yagi'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 Takuma Yagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuma Yagi more than expected).
Fields of papers citing papers by Takuma Yagi
This network shows the impact of papers produced by Takuma Yagi. 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 Takuma Yagi. The network helps show where Takuma Yagi may publish in the future.
Co-authorship network of co-authors of Takuma Yagi
This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Yagi. A scholar is included among the top collaborators of Takuma Yagi 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 Takuma Yagi. Takuma Yagi 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 | 9 | |
| 4 | 5 | |
| 5 | Style Adapted DataBase: Generalizing Hand Segmentation via Semantics-aware Stylization | 1 |
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.