Kohei Yatabe
About
In The Last Decade
Kohei Yatabe
122 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Signal Processing 620
- Computer Vision and Pattern Recognition 565
- Atomic and Molecular Physics, and Optics 278
- Computational Mechanics 235
- Artificial Intelligence 230
Countries citing papers authored by Kohei Yatabe
This map shows the geographic impact of Kohei Yatabe'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 Kohei Yatabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kohei Yatabe more than expected).
Fields of papers citing papers by Kohei Yatabe
This network shows the impact of papers produced by Kohei Yatabe. 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 Kohei Yatabe. The network helps show where Kohei Yatabe may publish in the future.
Co-authorship network of co-authors of Kohei Yatabe
This figure shows the co-authorship network connecting the top 25 collaborators of Kohei Yatabe. A scholar is included among the top collaborators of Kohei Yatabe 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 Kohei Yatabe. Kohei Yatabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 31 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 16 | |
| 15 | 12 | |
| 16 | 33 | |
| 17 | 86 | |
| 18 | 54 | |
| 19 | 12 | |
| 20 | 21 |
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.