Kazuyuki Amano
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Discrete Mathematics and Combinatorics
- Electrical and Electronic Engineering
- Co-authors
- Akira MaruokaJun TaruiYukinori SatoH. ChibaKenji OhmoriM. OkunishiSaburou SaitohKiyoshi Ueda
- Topics
- Complexity and Algorithms in Graphs (18 papers)Machine Learning and Algorithms (9 papers)Advanced Graph Theory Research (9 papers)
In The Last Decade
Kazuyuki Amano
31 papers receiving 125 citations
Peers
Comparison fields: 5 of 38
- Computational Theory and Mathematics 100
- Artificial Intelligence 54
- Atomic and Molecular Physics, and Optics 24
- Discrete Mathematics and Combinatorics 16
- Electrical and Electronic Engineering 15
Countries citing papers authored by Kazuyuki Amano
This map shows the geographic impact of Kazuyuki Amano'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 Kazuyuki Amano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuyuki Amano more than expected).
Fields of papers citing papers by Kazuyuki Amano
This network shows the impact of papers produced by Kazuyuki Amano. 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 Kazuyuki Amano. The network helps show where Kazuyuki Amano may publish in the future.
Co-authorship network of co-authors of Kazuyuki Amano
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyuki Amano. A scholar is included among the top collaborators of Kazuyuki Amano 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 Kazuyuki Amano. Kazuyuki Amano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | Researching the Complexity of Boolean Functions with Computers | 0 |
| 8 | On directional vs. undirectional randomized decision tree complexity for read-once formulas | 1 |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 13 | |
| 14 | Better Simulation of Exponential Threshold Weights by Polynomial Weights | 2 |
| 15 | 0 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | ["Sepate cardiulmonary bypass" as an aid to surgery of thoracic aortic aurysms]. | 1 |
About Kazuyuki Amano
Kazuyuki Amano is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 40 papers that have together received 148 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (18 papers), Machine Learning and Algorithms (9 papers) and Advanced Graph Theory Research (9 papers). The work is most often cited by research in Computational Theory and Mathematics (100 citations), Discrete Mathematics and Combinatorics (16 citations) and Artificial Intelligence (54 citations). Kazuyuki Amano has collaborated with scholars based in Japan, Russia and Myanmar. Frequent co-authors include Akira Maruoka, Jun Tarui, Yukinori Sato, H. Chiba, Kenji Ohmori, M. Okunishi, Saburou Saitoh, Kiyoshi Ueda, A. Z. Devdariani and Tadafumi Sugimoto. Their work appears in journals such as The Journal of Chemical Physics, Heart and Journal of Photochemistry and Photobiology A Chemistry.
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.