Shigeru Mukaida
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition
- Clinical Psychology
- Co-authors
- Vicki BruceJiro GyobaShigeru AkamatsuMiyuki KamachiSakiko YoshikawaHideyuki AndoYasuki NoguchiRyosuke O. Tachibana
- Topics
- Face Recognition and Perception (6 papers)Emotion and Mood Recognition (3 papers)Evolutionary Psychology and Human Behavior (3 papers)
- Journals
- Frontiers in Human NeurosciencePerceptionThe Journal of The Institute of Image Information and Television Engineers
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Shigeru Mukaida
7 papers receiving 307 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 237
- Experimental and Cognitive Psychology 184
- Social Psychology 86
- Computer Vision and Pattern Recognition 57
- Clinical Psychology 31
Countries citing papers authored by Shigeru Mukaida
This map shows the geographic impact of Shigeru Mukaida'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 Shigeru Mukaida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Mukaida more than expected).
Fields of papers citing papers by Shigeru Mukaida
This network shows the impact of papers produced by Shigeru Mukaida. 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 Shigeru Mukaida. The network helps show where Shigeru Mukaida may publish in the future.
Co-authorship network of co-authors of Shigeru Mukaida
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Mukaida. A scholar is included among the top collaborators of Shigeru Mukaida 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 Shigeru Mukaida. Shigeru Mukaida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 103 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 25 | |
| 6 | 16 | |
| 7 | Dynamic properties influence the perception of facial | 21 |
| 8 | 138 |
About Shigeru Mukaida
Shigeru Mukaida is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 315 indexed citations. Recurring topics across this work include Face Recognition and Perception (6 papers), Emotion and Mood Recognition (3 papers) and Evolutionary Psychology and Human Behavior (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (184 citations), Cognitive Neuroscience (237 citations) and Social Psychology (86 citations). Shigeru Mukaida has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Vicki Bruce, Jiro Gyoba, Shigeru Akamatsu, Miyuki Kamachi, Sakiko Yoshikawa, Hideyuki Ando, Yasuki Noguchi, Ryosuke O. Tachibana, Hiroshi Ando and Takashi Kato. Their work appears in journals such as Frontiers in Human Neuroscience, Perception and The Journal of The Institute of Image Information and Television Engineers.
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.