Shu Tezuka
About
In The Last Decade
Shu Tezuka
37 papers receiving 760 citations
Peers
Comparison fields: 5 of 70
- Numerical Analysis 372
- Computer Vision and Pattern Recognition 322
- Computational Theory and Mathematics 309
- Artificial Intelligence 285
- Information Systems 127
Countries citing papers authored by Shu Tezuka
This map shows the geographic impact of Shu Tezuka'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 Shu Tezuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Tezuka more than expected).
Fields of papers citing papers by Shu Tezuka
This network shows the impact of papers produced by Shu Tezuka. 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 Shu Tezuka. The network helps show where Shu Tezuka may publish in the future.
Co-authorship network of co-authors of Shu Tezuka
This figure shows the co-authorship network connecting the top 25 collaborators of Shu Tezuka. A scholar is included among the top collaborators of Shu Tezuka 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 Shu Tezuka. Shu Tezuka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 31 | |
| 8 | Uniform Random Numbers: Theory and Practice | 168 |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 57 | |
| 16 | 13 | |
| 17 | 10 | |
| 18 | A heurisitic approach for finding asymptotically random GFSR generators | 2 |
| 19 | 1 | |
| 20 | 71 |
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.