Miyuki Kamachi
- Computer Vision and Pattern Recognition top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Cognitive Neuroscience top 2%
- Artificial Intelligence top 5%
- Social Psychology top 5%
- Co-authors
- Jiro GyobaMichael J. LyonsShigeru AkamatsuShigeru MukaidaHarold HillEric Vatikiotis‐BatesonKaren LanderVicki Bruce
- Topics
- Face Recognition and Perception (12 papers)Neural and Behavioral Psychology Studies (6 papers)Evolutionary Psychology and Human Behavior (5 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionCognitive Neuroscience
- Journals
- PLoS ONEBrainCurrent Biology
- Partner nations
- JapanUnited KingdomNetherlands
In The Last Decade
Miyuki Kamachi
31 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 1.5k
- Experimental and Cognitive Psychology 1.3k
- Cognitive Neuroscience 688
- Artificial Intelligence 354
- Social Psychology 330
Countries citing papers authored by Miyuki Kamachi
This map shows the geographic impact of Miyuki Kamachi'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 Miyuki Kamachi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miyuki Kamachi more than expected).
Fields of papers citing papers by Miyuki Kamachi
This network shows the impact of papers produced by Miyuki Kamachi. 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 Miyuki Kamachi. The network helps show where Miyuki Kamachi may publish in the future.
Co-authorship network of co-authors of Miyuki Kamachi
This figure shows the co-authorship network connecting the top 25 collaborators of Miyuki Kamachi. A scholar is included among the top collaborators of Miyuki Kamachi 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 Miyuki Kamachi. Miyuki Kamachi 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 | 7 | |
| 3 | 1 | |
| 4 | 136 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 120 | |
| 10 | 1 | |
| 11 | 33 | |
| 12 | 39 | |
| 13 | 25 | |
| 14 | Age perception from facial image : Toward the construction of the system for age estimation | 1 |
| 15 | 134 | |
| 16 | 201 | |
| 17 | Using the principals of facial caricature to exaggerate human motion | 5 |
| 18 | 41 | |
| 19 | Facial deformation parameters for audiovisual synthesis. | 4 |
| 20 | 1 |
About Miyuki Kamachi
Miyuki Kamachi is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Software, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Face Recognition and Perception (12 papers), Neural and Behavioral Psychology Studies (6 papers) and Evolutionary Psychology and Human Behavior (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.3k citations), Computer Vision and Pattern Recognition (1.5k citations) and Cognitive Neuroscience (688 citations). Miyuki Kamachi has collaborated with scholars based in Japan, United Kingdom and Netherlands. Frequent co-authors include Jiro Gyoba, Michael J. Lyons, Shigeru Akamatsu, Shigeru Mukaida, Harold Hill, Eric Vatikiotis‐Bateson, Karen Lander, Vicki Bruce, Sakiko Yoshikawa and Kazuhiko Yanai. Their work appears in journals such as PLoS ONE, Brain and Current Biology.
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.