Akihito Soeda
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Co-authors
- Mio MuraoDagomir KaszlikowskiPaweł KurzyńskiMarco Túlio QuintinoRavishankar RamanathanPeter S. TurnerJayne ThompsonMarcin Markiewicz
- Topics
- Quantum Information and Cryptography (32 papers)Quantum Computing Algorithms and Architecture (25 papers)Quantum Mechanics and Applications (24 papers)
In The Last Decade
Akihito Soeda
33 papers receiving 337 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 312
- Atomic and Molecular Physics, and Optics 272
- Statistical and Nonlinear Physics 33
- Computational Theory and Mathematics 17
- Electrical and Electronic Engineering 17
Countries citing papers authored by Akihito Soeda
This map shows the geographic impact of Akihito Soeda'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 Akihito Soeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihito Soeda more than expected).
Fields of papers citing papers by Akihito Soeda
This network shows the impact of papers produced by Akihito Soeda. 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 Akihito Soeda. The network helps show where Akihito Soeda may publish in the future.
Co-authorship network of co-authors of Akihito Soeda
This figure shows the co-authorship network connecting the top 25 collaborators of Akihito Soeda. A scholar is included among the top collaborators of Akihito Soeda 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 Akihito Soeda. Akihito Soeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 31 | |
| 9 | 49 | |
| 10 | 10 | |
| 11 | Reversing unknown quantum transformations: A universal protocol for inverting general unitary operations | 1 |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 51 | |
| 19 | 17 | |
| 20 | 10 |
About Akihito Soeda
Akihito Soeda is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 33 papers that have together received 341 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (32 papers), Quantum Computing Algorithms and Architecture (25 papers) and Quantum Mechanics and Applications (24 papers). The work is most often cited by research in Artificial Intelligence (312 citations), Atomic and Molecular Physics, and Optics (272 citations) and Statistical and Nonlinear Physics (33 citations). Akihito Soeda has collaborated with scholars based in Japan, Singapore and Poland. Frequent co-authors include Mio Murao, Dagomir Kaszlikowski, Paweł Kurzyński, Marco Túlio Quintino, Ravishankar Ramanathan, Peter S. Turner, Jayne Thompson, Marcin Markiewicz, Tomasz Paterek and Su‐Yong Lee. Their work appears in journals such as Physical Review Letters, Scientific Reports and IEEE Transactions on Information Theory.
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.