Naomi Inoue
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Cognitive Neuroscience
- Artificial Intelligence
- Information Systems top 10%
- Co-authors
- Keiichiro HoashiKazunori MatsumotoShigeru WatanabeMasahiro KawakitaKazuhiro GotoIsao ItoSumio YanoAkiko Callan
- Topics
- Advanced Optical Imaging Technologies (14 papers)Advanced Vision and Imaging (10 papers)Virtual Reality Applications and Impacts (8 papers)
In The Last Decade
Naomi Inoue
45 papers receiving 315 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 136
- Signal Processing 96
- Cognitive Neuroscience 85
- Artificial Intelligence 50
- Information Systems 48
Countries citing papers authored by Naomi Inoue
This map shows the geographic impact of Naomi Inoue'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 Naomi Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naomi Inoue more than expected).
Fields of papers citing papers by Naomi Inoue
This network shows the impact of papers produced by Naomi Inoue. 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 Naomi Inoue. The network helps show where Naomi Inoue may publish in the future.
Co-authorship network of co-authors of Naomi Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Inoue. A scholar is included among the top collaborators of Naomi Inoue 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 Naomi Inoue. Naomi Inoue 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 | Status report of REI, a rear projection automultiscopic display technology public viewing | 1 |
| 5 | Field experiments, in a public space, regarding 3D contents on an auto-multiscopic display (REI) | 1 |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | Outline of Ultra-Realistic Communication Research | 1 |
| 10 | Fineness of motion parallax affected evaluation of 3D projected image | 2 |
| 11 | 49 | |
| 12 | Evaluation of Feeling "Presence" in Ultra-Realistic Communication | 0 |
| 13 | 27 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | An interface test-bed for 'Kansei' filters using the touch designer visual programming environment | 2 |
| 17 | 4 | |
| 18 | Experiments on the TREC-8 Filtering Track. | 3 |
| 19 | TREC-7 Experiments: Query Expansion Method Based on Word Contribution. | 1 |
| 20 | 3 |
About Naomi Inoue
Naomi Inoue is a scholar working on Human-Computer Interaction, Media Technology and Computer Graphics and Computer-Aided Design, having authored 53 papers that have together received 336 indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (14 papers), Advanced Vision and Imaging (10 papers) and Virtual Reality Applications and Impacts (8 papers). The work is most often cited by research in Signal Processing (96 citations), Human-Computer Interaction (48 citations) and Computer Vision and Pattern Recognition (136 citations). Naomi Inoue has collaborated with scholars based in Japan, Sweden and Ukraine. Frequent co-authors include Keiichiro Hoashi, Kazunori Matsumoto, Shigeru Watanabe, Masahiro Kawakita, Kazuhiro Goto, Isao Ito, Sumio Yano, Akiko Callan, Erhan Öztop and Yuya Yamagishi. Their work appears in journals such as PLoS ONE, Scientific Reports and Pattern Recognition.
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.