Naohiro Toda
- Atomic and Molecular Physics, and Optics top 5%
- Materials Chemistry top 10%
- Electronic, Optical and Magnetic Materials top 5%
- Electrical and Electronic Engineering top 10%
- Condensed Matter Physics top 5%
- Co-authors
- Masashi ShiraishiMasaki MizuguchiYoshishige SuzukiKengo OhtaT. ShinjoTakehiro MaruyamaShigemi MizukamiAshwin A. Tulapurkar
- Topics
- Neural Networks and Applications (15 papers)Diamond and Carbon-based Materials Research (9 papers)High-pressure geophysics and materials (8 papers)
- Cited by
- Electronic, Optical and Magnetic MaterialsAtomic and Molecular Physics, and OpticsCondensed Matter Physics
- Partner nations
- JapanUnited States
In The Last Decade
Naohiro Toda
39 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Atomic and Molecular Physics, and Optics 770
- Materials Chemistry 698
- Electronic, Optical and Magnetic Materials 630
- Electrical and Electronic Engineering 344
- Condensed Matter Physics 267
Countries citing papers authored by Naohiro Toda
This map shows the geographic impact of Naohiro Toda'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 Naohiro Toda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naohiro Toda more than expected).
Fields of papers citing papers by Naohiro Toda
This network shows the impact of papers produced by Naohiro Toda. 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 Naohiro Toda. The network helps show where Naohiro Toda may publish in the future.
Co-authorship network of co-authors of Naohiro Toda
This figure shows the co-authorship network connecting the top 25 collaborators of Naohiro Toda. A scholar is included among the top collaborators of Naohiro Toda 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 Naohiro Toda. Naohiro Toda 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | Large voltage-induced magnetic anisotropy change in a few atomic layers of ironbreakdown → | 1025 |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | On the Model Selection for Linear Combination of Step-Type Basis Functions. | 1 |
| 19 | 2 | |
| 20 | 9 |
About Naohiro Toda
Naohiro Toda is a scholar working on Geophysics, Artificial Intelligence and Control and Systems Engineering, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Diamond and Carbon-based Materials Research (9 papers) and High-pressure geophysics and materials (8 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (630 citations), Atomic and Molecular Physics, and Optics (770 citations) and Condensed Matter Physics (267 citations). Naohiro Toda has collaborated with scholars based in Japan and United States. Frequent co-authors include Masashi Shiraishi, Masaki Mizuguchi, Yoshishige Suzuki, Kengo Ohta, T. Shinjo, Takehiro Maruyama, Shigemi Mizukami, Ashwin A. Tulapurkar, Yukio Ando and Yoichi Shiota. Their work appears in journals such as Nature Nanotechnology, Kidney International 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.