Nao NINOMIYA
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology top 10%
- Epidemiology
- Co-authors
- Mitsuhiko OtaMasahiro OtaKengo YasudaNobuhide KasagiHitoshi SugiyamaKazuya IwamotoMasaki YasugiMasaru Hirata
- Topics
- Fluid Dynamics and Turbulent Flows (8 papers)Heat Transfer Mechanisms (7 papers)Flow Measurement and Analysis (5 papers)
- Journals
- Optics ExpressMeasurement Science and TechnologyJournal of Mechanical Science and Technology
- Partner nations
- JapanSouth KoreaBelarus
In The Last Decade
Nao NINOMIYA
22 papers receiving 816 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 585
- Experimental and Cognitive Psychology 149
- Computer Vision and Pattern Recognition 118
- Social Psychology 91
- Epidemiology 91
Countries citing papers authored by Nao NINOMIYA
This map shows the geographic impact of Nao NINOMIYA'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 Nao NINOMIYA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nao NINOMIYA more than expected).
Fields of papers citing papers by Nao NINOMIYA
This network shows the impact of papers produced by Nao NINOMIYA. 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 Nao NINOMIYA. The network helps show where Nao NINOMIYA may publish in the future.
Co-authorship network of co-authors of Nao NINOMIYA
This figure shows the co-authorship network connecting the top 25 collaborators of Nao NINOMIYA. A scholar is included among the top collaborators of Nao NINOMIYA 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 Nao NINOMIYA. Nao NINOMIYA is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | The 10th anniversary of journal of visualizationbreakdown → | 702 |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | Measurement of the Reynolds stress budgets in an axisymmetric free jet with the aid of three-dimensional particle tracking velocimetry | 5 |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 3 |
About Nao NINOMIYA
Nao NINOMIYA is a scholar working on Computational Mechanics, Human-Computer Interaction and Media Technology, having authored 26 papers that have together received 824 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (8 papers), Heat Transfer Mechanisms (7 papers) and Flow Measurement and Analysis (5 papers). The work is most often cited by research in Cognitive Neuroscience (585 citations), Sensory Systems (63 citations) and Experimental and Cognitive Psychology (149 citations). Nao NINOMIYA has collaborated with scholars based in Japan, South Korea and Belarus. Frequent co-authors include Mitsuhiko Ota, Masahiro Ota, Kengo Yasuda, Nobuhide Kasagi, Hitoshi Sugiyama, Kazuya Iwamoto, Masaki Yasugi, Masaru Hirata, Hirotsugu Yamamoto and Byung Chul Choi. Their work appears in journals such as Optics Express, Measurement Science and Technology and Journal of Mechanical Science and Technology.
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.