Kazutaka Ueda
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 2%
- Cellular and Molecular Neuroscience top 10%
- Social Psychology top 5%
- Clinical Psychology top 10%
- Co-authors
- Yasumasa OkamotoShigeto YamawakiGo OkadaKenji DoyaSaori TanakaKeiichi OnodaShinpei YoshimuraShin-ichi Suzuki
- Topics
- Neural and Behavioral Psychology Studies (16 papers)Functional Brain Connectivity Studies (10 papers)Neural dynamics and brain function (7 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Kazutaka Ueda
45 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cognitive Neuroscience 1.3k
- Experimental and Cognitive Psychology 566
- Cellular and Molecular Neuroscience 226
- Social Psychology 206
- Clinical Psychology 191
Countries citing papers authored by Kazutaka Ueda
This map shows the geographic impact of Kazutaka 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 Kazutaka Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazutaka Ueda more than expected).
Fields of papers citing papers by Kazutaka Ueda
This network shows the impact of papers produced by Kazutaka 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 Kazutaka Ueda. The network helps show where Kazutaka Ueda may publish in the future.
Co-authorship network of co-authors of Kazutaka Ueda
This figure shows the co-authorship network connecting the top 25 collaborators of Kazutaka Ueda. A scholar is included among the top collaborators of Kazutaka 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 Kazutaka Ueda. Kazutaka 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 13 | |
| 6 | 13 | |
| 7 | 3 | |
| 8 | 30 | |
| 9 | 1 | |
| 10 | 147 | |
| 11 | 83 | |
| 12 | 44 | |
| 13 | 116 | |
| 14 | 50 | |
| 15 | 58 | |
| 16 | Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loopsbreakdown → | 605 |
| 17 | Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales | 2 |
| 18 | 123 | |
| 19 | 16 | |
| 20 | 54 |
About Kazutaka Ueda
Kazutaka Ueda is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sensory Systems, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (16 papers), Functional Brain Connectivity Studies (10 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), General Decision Sciences (106 citations) and Experimental and Cognitive Psychology (566 citations). Kazutaka Ueda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yasumasa Okamoto, Shigeto Yamawaki, Go Okada, Kenji Doya, Saori Tanaka, Keiichi Onoda, Shinpei Yoshimura, Shin-ichi Suzuki, Hidehisa Yamashita and Miki Matsunaga. Their work appears in journals such as Nature Neuroscience, PLoS ONE and Brain Research.
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.