Gaisi Takeuti
About
In The Last Decade
Gaisi Takeuti
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 960
- Artificial Intelligence 861
- Mathematical Physics 174
- Geometry and Topology 168
- Management Science and Operations Research 148
Countries citing papers authored by Gaisi Takeuti
This map shows the geographic impact of Gaisi Takeuti'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 Gaisi Takeuti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaisi Takeuti more than expected).
Fields of papers citing papers by Gaisi Takeuti
This network shows the impact of papers produced by Gaisi Takeuti. 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 Gaisi Takeuti. The network helps show where Gaisi Takeuti may publish in the future.
Co-authorship network of co-authors of Gaisi Takeuti
This figure shows the co-authorship network connecting the top 25 collaborators of Gaisi Takeuti. A scholar is included among the top collaborators of Gaisi Takeuti 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 Gaisi Takeuti. Gaisi Takeuti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 10 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 31 | |
| 19 | 5 | |
| 20 | 11 |
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.