Shin Ishii
About
In The Last Decade
Shin Ishii
220 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 1.3k
- Cognitive Neuroscience 1.3k
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 788
Countries citing papers authored by Shin Ishii
This map shows the geographic impact of Shin Ishii'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 Shin Ishii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin Ishii more than expected).
Fields of papers citing papers by Shin Ishii
This network shows the impact of papers produced by Shin Ishii. 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 Shin Ishii. The network helps show where Shin Ishii may publish in the future.
Co-authorship network of co-authors of Shin Ishii
This figure shows the co-authorship network connecting the top 25 collaborators of Shin Ishii. A scholar is included among the top collaborators of Shin Ishii 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 Shin Ishii. Shin Ishii 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 | 21 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 401 | |
| 11 | Layered Monte-Carlo planning method for incomplete information games and its application to Puyo-Puyo | 1 |
| 12 | Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information: Object Tracking under Occlusion | 1 |
| 13 | Control of the falling cat motion by using path-integral reinforcement learning | 1 |
| 14 | A unified framework of binary classifiers ensemble for multi-class classification | 2 |
| 15 | Generalized TD Learning | 16 |
| 16 | Reinforcement learning for a CPG-driven biped robot | 47 |
| 17 | 3 | |
| 18 | Learning of minimax strategy by a support vector machine | 1 |
| 19 | Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning | 14 |
| 20 | On-Line EM Algorithm for Mixture of Local Experts | 4 |
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.