Kazuo Shigemasu
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 5%
- Clinical Psychology top 10%
- Neurology top 10%
- Co-authors
- Takahiro HoshinoAtsunobu SuzukiMitsuru KawamuraShinji YamagataYusuke TakahashiYutaka OnoNobuhiko KijimaNoriyoshi Takasawa
- Topics
- Statistical Methods and Bayesian Inference (12 papers)Face Recognition and Perception (8 papers)Statistical Methods and Inference (8 papers)
- Cited by
- Neuropsychology and Physiological PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- JapanUnited StatesBrazil
In The Last Decade
Kazuo Shigemasu
54 papers receiving 837 citations
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 381
- Experimental and Cognitive Psychology 245
- Social Psychology 203
- Clinical Psychology 183
- Neurology 100
Countries citing papers authored by Kazuo Shigemasu
This map shows the geographic impact of Kazuo Shigemasu'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 Kazuo Shigemasu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Shigemasu more than expected).
Fields of papers citing papers by Kazuo Shigemasu
This network shows the impact of papers produced by Kazuo Shigemasu. 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 Kazuo Shigemasu. The network helps show where Kazuo Shigemasu may publish in the future.
Co-authorship network of co-authors of Kazuo Shigemasu
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Shigemasu. A scholar is included among the top collaborators of Kazuo Shigemasu 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 Kazuo Shigemasu. Kazuo Shigemasu 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 | 1 | |
| 3 | 1 | |
| 4 | 29 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | Role of Selective Attention in Artificial Grammar Learning | 0 |
| 8 | Editorial( Recent Developments in Latent Variables Medeling) | 1 |
| 9 | 2 | |
| 10 | Temporal Characteristics of Categorical Perception of Emotional Facial Expressions | 4 |
| 11 | 5 | |
| 12 | 67 | |
| 13 | Dimensional information is primary in judgment of facial expression | 1 |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 2 |
About Kazuo Shigemasu
Kazuo Shigemasu is a scholar working on Statistics and Probability, General Decision Sciences and Experimental and Cognitive Psychology, having authored 61 papers that have together received 886 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (12 papers), Face Recognition and Perception (8 papers) and Statistical Methods and Inference (8 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (39 citations), Cognitive Neuroscience (381 citations) and Experimental and Cognitive Psychology (245 citations). Kazuo Shigemasu has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Takahiro Hoshino, Atsunobu Suzuki, Mitsuru Kawamura, Shinji Yamagata, Yusuke Takahashi, Yutaka Ono, Nobuhiko Kijima, Noriyoshi Takasawa, Juko Ando and H. Yanai. Their work appears in journals such as Brain, Cognition and Personality and Individual Differences.
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.