Yasuhiro Yamada
- Molecular Biology
- Artificial Intelligence top 5%
- Plant Science top 10%
- Pharmacology top 10%
- Geometry and Topology top 5%
- Co-authors
- Takashi YamadaAtsushi NakayashikiKensuke InabaTakuya IkutaToshimori HonjoHiroki TakesueTakahiro InagakiTakeshi Umeki
- Topics
- Neural Networks and Reservoir Computing (9 papers)Nonlinear Waves and Solitons (7 papers)Quantum Computing Algorithms and Architecture (7 papers)
- Cited by
- Discrete Mathematics and CombinatoricsGeometry and TopologyStatistical and Nonlinear Physics
- Partner nations
- JapanNetherlandsAustralia
In The Last Decade
Yasuhiro Yamada
46 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 288
- Artificial Intelligence 211
- Plant Science 193
- Pharmacology 126
- Geometry and Topology 111
Countries citing papers authored by Yasuhiro Yamada
This map shows the geographic impact of Yasuhiro Yamada'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 Yasuhiro Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Yamada more than expected).
Fields of papers citing papers by Yasuhiro Yamada
This network shows the impact of papers produced by Yasuhiro Yamada. 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 Yasuhiro Yamada. The network helps show where Yasuhiro Yamada may publish in the future.
Co-authorship network of co-authors of Yasuhiro Yamada
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Yamada. A scholar is included among the top collaborators of Yasuhiro Yamada 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 Yasuhiro Yamada. Yasuhiro Yamada 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 | 7 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 34 | |
| 10 | 45 | |
| 11 | 54 | |
| 12 | 98 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 57 | |
| 16 | 69 | |
| 17 | 38 | |
| 18 | 4 | |
| 19 | 14 | |
| 20 | 3 |
About Yasuhiro Yamada
Yasuhiro Yamada is a scholar working on Algebra and Number Theory, Geometry and Topology and Statistical and Nonlinear Physics, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (9 papers), Nonlinear Waves and Solitons (7 papers) and Quantum Computing Algorithms and Architecture (7 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (41 citations), Geometry and Topology (111 citations) and Statistical and Nonlinear Physics (106 citations). Yasuhiro Yamada has collaborated with scholars based in Japan, Netherlands and Australia. Frequent co-authors include Takashi Yamada, Atsushi Nakayashiki, Takashi Yamada, Kensuke Inaba, Takuya Ikuta, Toshimori Honjo, Hiroki Takesue, Takahiro Inagaki, Takeshi Umeki and Takushi Kazama. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Bacteriology and Science Advances.
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.