Takeki Ninomiya
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience
- Polymers and Plastics
- Materials Chemistry
- Computer Networks and Communications
- Co-authors
- Koji KatayamaZhiqiang WeiRyutaro YasuharaTakeshi TakagiS. MuraokaTakumi MikawaT. TakagiK. Aono
- Topics
- Advanced Memory and Neural Computing (12 papers)Ferroelectric and Negative Capacitance Devices (11 papers)Semiconductor materials and devices (10 papers)
- Cited by
- Electrical and Electronic EngineeringPolymers and PlasticsCellular and Molecular Neuroscience
- Journals
- Journal of Physics Condensed MatterIEEE Transactions on Electron DevicesJapanese Journal of Applied Physics
- Partner nations
- Japan
In The Last Decade
Takeki Ninomiya
17 papers receiving 406 citations
Peers
Comparison fields: 5 of 25
- Electrical and Electronic Engineering 400
- Cellular and Molecular Neuroscience 100
- Polymers and Plastics 81
- Materials Chemistry 71
- Computer Networks and Communications 13
Countries citing papers authored by Takeki Ninomiya
This map shows the geographic impact of Takeki 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 Takeki Ninomiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeki Ninomiya more than expected).
Fields of papers citing papers by Takeki Ninomiya
This network shows the impact of papers produced by Takeki 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 Takeki Ninomiya. The network helps show where Takeki Ninomiya may publish in the future.
Co-authorship network of co-authors of Takeki Ninomiya
This figure shows the co-authorship network connecting the top 25 collaborators of Takeki Ninomiya. A scholar is included among the top collaborators of Takeki 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 Takeki Ninomiya. Takeki 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 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | Comprehensive understanding of conductive filament characteristics and retention properties for highly reliable ReRAM | 31 |
| 9 | 39 | |
| 10 | 37 | |
| 11 | 11 | |
| 12 | 15 | |
| 13 | 106 | |
| 14 | 24 | |
| 15 | 25 | |
| 16 | 99 | |
| 17 | 1 | |
| 18 | 5 |
About Takeki Ninomiya
Takeki Ninomiya is a scholar working on Electrical and Electronic Engineering, Ceramics and Composites and Condensed Matter Physics, having authored 18 papers that have together received 411 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Semiconductor materials and devices (10 papers). The work is most often cited by research in Electrical and Electronic Engineering (400 citations), Polymers and Plastics (81 citations) and Cellular and Molecular Neuroscience (100 citations). Takeki Ninomiya has collaborated with scholars based in Japan. Frequent co-authors include Koji Katayama, Zhiqiang Wei, Ryutaro Yasuhara, Takeshi Takagi, S. Muraoka, Takumi Mikawa, T. Takagi, K. Aono, K. Kawai and K. Shimakawa. Their work appears in journals such as Journal of Physics Condensed Matter, IEEE Transactions on Electron Devices and Japanese Journal of Applied Physics.
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.