Yasumasa Ueda
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Minoru KimuraKazuyuki SamejimaKenji DoyaHitoshi AsakawaTakeshi FukumaShunsuke YoshiokaNaoyuki MatsumotoHitoshi Inokawa
- Topics
- Neurotransmitter Receptor Influence on Behavior (7 papers)Neural dynamics and brain function (6 papers)Neural and Behavioral Psychology Studies (6 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Yasumasa Ueda
17 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 727
- Cellular and Molecular Neuroscience 354
- Atomic and Molecular Physics, and Optics 271
- Molecular Biology 168
- Biomedical Engineering 107
Countries citing papers authored by Yasumasa Ueda
This map shows the geographic impact of Yasumasa Ueda'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 Yasumasa Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasumasa Ueda more than expected).
Fields of papers citing papers by Yasumasa Ueda
This network shows the impact of papers produced by Yasumasa Ueda. 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 Yasumasa Ueda. The network helps show where Yasumasa Ueda may publish in the future.
Co-authorship network of co-authors of Yasumasa Ueda
This figure shows the co-authorship network connecting the top 25 collaborators of Yasumasa Ueda. A scholar is included among the top collaborators of Yasumasa Ueda 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 Yasumasa Ueda. Yasumasa Ueda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 39 | |
| 9 | 15 | |
| 10 | 57 | |
| 11 | 366 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | Representation of Action-Specific Reward Values in the Striatumbreakdown → | 669 |
| 15 | 31 | |
| 16 | 25 | |
| 17 | Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter | 13 |
About Yasumasa Ueda
Yasumasa Ueda is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neural dynamics and brain function (6 papers) and Neural and Behavioral Psychology Studies (6 papers). The work is most often cited by research in Cognitive Neuroscience (727 citations), General Decision Sciences (59 citations) and Cellular and Molecular Neuroscience (354 citations). Yasumasa Ueda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Minoru Kimura, Kazuyuki Samejima, Kenji Doya, Hitoshi Asakawa, Takeshi Fukuma, Shunsuke Yoshioka, Naoyuki Matsumoto, Hitoshi Inokawa, Hiroshi Yamada and Takemasa Satoh. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.