Masumi Ishikawa
About
In The Last Decade
Masumi Ishikawa
42 papers receiving 390 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 284
- Computer Vision and Pattern Recognition 92
- Computational Theory and Mathematics 66
- Control and Systems Engineering 60
- Biomedical Engineering 41
Countries citing papers authored by Masumi Ishikawa
This map shows the geographic impact of Masumi Ishikawa'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 Masumi Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masumi Ishikawa more than expected).
Fields of papers citing papers by Masumi Ishikawa
This network shows the impact of papers produced by Masumi Ishikawa. 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 Masumi Ishikawa. The network helps show where Masumi Ishikawa may publish in the future.
Co-authorship network of co-authors of Masumi Ishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Masumi Ishikawa. A scholar is included among the top collaborators of Masumi Ishikawa 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 Masumi Ishikawa. Masumi Ishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Emergence of Behaviors based on the Desire for Existence by Reinforcement Learning | 0 |
| 2 | Reinforcement Learning with Internal Rewards Based on Error in a Grid Based Map | 2 |
| 3 | Task segmentation in a mobile robot by mnSOM and clusteringwith spatio-temporal contiguity | 3 |
| 4 | 8 | |
| 5 | Designing Particle Swarm Optimization: performance comparison of two temporally cumulative fitness functions in EPSO | 5 |
| 6 | 6 | |
| 7 | Evolutionary Particle Swarm Optimization (EPSO) - Estimation of Optimal PSO Parameters by GA. | 11 |
| 8 | 1 | |
| 9 | An ensemble method in hybrid real-coded genetic algorithm with pruning for data classification | 0 |
| 10 | 8 | |
| 11 | 5 | |
| 12 | Visual Fault Detection for Autonomous Sewer Robots | 3 |
| 13 | Development of a simulator for robots and its application to position estimation by self-organization | 2 |
| 14 | 0 | |
| 15 | 2 | |
| 16 | Extraction of crisp logical rules using constrained backpropagation networks. | 18 |
| 17 | 17 | |
| 18 | Structural Learning and Modular Networks | 1 |
| 19 | 1 | |
| 20 | A Structural Connectionist Learning Algorithm with Forgetting | 17 |
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.