Shuntaro Takeda
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Electrical and Electronic Engineering top 10%
- Electronic, Optical and Magnetic Materials
- Accounting top 10%
- Co-authors
- Akira FurusawaMaria FuwaPeter van LoockTakahiro MizutaJun–ichi YoshikawaHidehiro YonezawaElanor H. HuntingtonWarit Asavanant
- Topics
- Quantum Information and Cryptography (34 papers)Neural Networks and Reservoir Computing (16 papers)Quantum optics and atomic interactions (12 papers)
- Journals
- NatureSciencePhysical Review Letters
In The Last Decade
Shuntaro Takeda
44 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 1.2k
- Atomic and Molecular Physics, and Optics 1.1k
- Electrical and Electronic Engineering 320
- Electronic, Optical and Magnetic Materials 152
- Accounting 98
Countries citing papers authored by Shuntaro Takeda
This map shows the geographic impact of Shuntaro Takeda'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 Shuntaro Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuntaro Takeda more than expected).
Fields of papers citing papers by Shuntaro Takeda
This network shows the impact of papers produced by Shuntaro Takeda. 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 Shuntaro Takeda. The network helps show where Shuntaro Takeda may publish in the future.
Co-authorship network of co-authors of Shuntaro Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Shuntaro Takeda. A scholar is included among the top collaborators of Shuntaro Takeda 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 Shuntaro Takeda. Shuntaro Takeda 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 | 5 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 15 | |
| 9 | Generation of time-domain-multiplexed two-dimensional cluster statebreakdown → | 279 |
| 10 | 139 | |
| 11 | 32 | |
| 12 | 54 | |
| 13 | 68 | |
| 14 | 80 | |
| 15 | 16 | |
| 16 | 22 | |
| 17 | 199 | |
| 18 | 14 | |
| 19 | 41 | |
| 20 | 2 |
About Shuntaro Takeda
Shuntaro Takeda is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Accounting, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (34 papers), Neural Networks and Reservoir Computing (16 papers) and Quantum optics and atomic interactions (12 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Atomic and Molecular Physics, and Optics (1.1k citations) and Acoustics and Ultrasonics (8 citations). Shuntaro Takeda has collaborated with scholars based in Japan, Germany and Australia. Frequent co-authors include Akira Furusawa, Maria Fuwa, Peter van Loock, Takahiro Mizuta, Jun–ichi Yoshikawa, Hidehiro Yonezawa, Elanor H. Huntington, Warit Asavanant, M. Naito and Yu Shiozawa. Their work appears in journals such as Nature, Science and Physical Review Letters.
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.