T. Hayashi
- Atomic and Molecular Physics, and Optics top 1%
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 5%
- Electronic, Optical and Magnetic Materials top 5%
- Artificial Intelligence top 2%
- Co-authors
- T. FujisawaY. HirayamaHai Du CheongMasaaki TanakaYong‐Cheol JeongA. FujimoriA. KimuraT. Mizokawa
- Topics
- Quantum and electron transport phenomena (22 papers)Semiconductor Quantum Structures and Devices (19 papers)ZnO doping and properties (17 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsCondensed Matter PhysicsElectronic, Optical and Magnetic Materials
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
T. Hayashi
73 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Atomic and Molecular Physics, and Optics 2.0k
- Materials Chemistry 1.1k
- Electrical and Electronic Engineering 929
- Electronic, Optical and Magnetic Materials 750
- Artificial Intelligence 632
Countries citing papers authored by T. Hayashi
This map shows the geographic impact of T. Hayashi'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 T. Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hayashi more than expected).
Fields of papers citing papers by T. Hayashi
This network shows the impact of papers produced by T. Hayashi. 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 T. Hayashi. The network helps show where T. Hayashi may publish in the future.
Co-authorship network of co-authors of T. Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of T. Hayashi. A scholar is included among the top collaborators of T. Hayashi 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 T. Hayashi. T. Hayashi 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 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | Detecting the Performance Degradation of Virtual Machines through Passive Measurement and Machine Learning | 1 |
| 10 | 0 | |
| 11 | 112 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 35 | |
| 15 | Coherent Manipulation of Electronic States in a Double Quantum Dotbreakdown → | 592 |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 102 | |
| 19 | 32 | |
| 20 | 2 |
About T. Hayashi
T. Hayashi is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Condensed Matter Physics, having authored 82 papers that have together received 3.0k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (22 papers), Semiconductor Quantum Structures and Devices (19 papers) and ZnO doping and properties (17 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (2.0k citations), Condensed Matter Physics (594 citations) and Electronic, Optical and Magnetic Materials (750 citations). T. Hayashi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include T. Fujisawa, Y. Hirayama, Hai Du Cheong, Masaaki Tanaka, Yong‐Cheol Jeong, A. Fujimori, A. Kimura, T. Mizokawa, Jun Okabayashi and Tatau Nishinaga. Their work appears in journals such as Science, Physical Review Letters and Physical review. B, Condensed matter.
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.