Ken Nakagaki
- Human-Computer Interaction top 0.5%
- Cognitive Neuroscience top 5%
- Mechanical Engineering top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Hiroshi IshiiSean FollmerRoberta L. KlatzkyScott E. HudsonJill Fain LehmanAlanson P. SampleDaniel LeithingerYasuaki Kakehi
- Topics
- Interactive and Immersive Displays (34 papers)Tactile and Sensory Interactions (21 papers)Augmented Reality Applications (11 papers)
- Journals
- IEEE Pervasive ComputingArXiv.orgCHI Conference on Human Factors in Computing Systems
- Partner nations
- United StatesJapanSweden
In The Last Decade
Ken Nakagaki
35 papers receiving 756 citations
Peers
Comparison fields: 5 of 58
- Human-Computer Interaction 542
- Cognitive Neuroscience 412
- Mechanical Engineering 342
- Biomedical Engineering 162
- Computer Vision and Pattern Recognition 129
Countries citing papers authored by Ken Nakagaki
This map shows the geographic impact of Ken Nakagaki'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 Ken Nakagaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Nakagaki more than expected).
Fields of papers citing papers by Ken Nakagaki
This network shows the impact of papers produced by Ken Nakagaki. 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 Ken Nakagaki. The network helps show where Ken Nakagaki may publish in the future.
Co-authorship network of co-authors of Ken Nakagaki
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Nakagaki. A scholar is included among the top collaborators of Ken Nakagaki 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 Ken Nakagaki. Ken Nakagaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 50 | |
| 15 | 14 | |
| 16 | 13 | |
| 17 | 18 | |
| 18 | 53 | |
| 19 | 75 | |
| 20 | 11 |
About Ken Nakagaki
Ken Nakagaki is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 774 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (34 papers), Tactile and Sensory Interactions (21 papers) and Augmented Reality Applications (11 papers). The work is most often cited by research in Human-Computer Interaction (542 citations), Cognitive Neuroscience (412 citations) and Architecture (19 citations). Ken Nakagaki has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Hiroshi Ishii, Sean Follmer, Roberta L. Klatzky, Scott E. Hudson, Jill Fain Lehman, Alanson P. Sample, Daniel Leithinger, Yasuaki Kakehi, Joseph A. Paradiso and Artem Dementyev. Their work appears in journals such as IEEE Pervasive Computing, ArXiv.org and CHI Conference on Human Factors in Computing Systems.
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.