Yuji Takeda
- Cognitive Neuroscience top 2%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Safety, Risk, Reliability and Quality top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Akihiro YagiKeita KamijoMotohiro KimuraSteven PhillipsKen KiharaT. SatoMotoyuki AkamatsuTakatsune Kumada
- Topics
- Neural and Behavioral Psychology Studies (52 papers)Visual perception and processing mechanisms (35 papers)Neural dynamics and brain function (27 papers)
- Journals
- PLoS ONENeuroImageBrain Research
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yuji Takeda
94 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Cognitive Neuroscience 893
- Social Psychology 365
- Experimental and Cognitive Psychology 330
- Safety, Risk, Reliability and Quality 111
- Computer Vision and Pattern Recognition 108
Countries citing papers authored by Yuji Takeda
This map shows the geographic impact of Yuji Takeda'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 Yuji Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuji Takeda more than expected).
Fields of papers citing papers by Yuji Takeda
This network shows the impact of papers produced by Yuji Takeda. 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 Yuji Takeda. The network helps show where Yuji Takeda may publish in the future.
Co-authorship network of co-authors of Yuji Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Takeda. A scholar is included among the top collaborators of Yuji Takeda 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 Yuji Takeda. Yuji Takeda 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 | 7 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 60 | |
| 11 | 53 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 13 | |
| 17 | 23 | |
| 18 | An EEG/ERP study of efficient versus inefficient visual search | 21 |
| 19 | 0 | |
| 20 | 11 |
About Yuji Takeda
Yuji Takeda is a scholar working on Cognitive Neuroscience, General Decision Sciences and Experimental and Cognitive Psychology, having authored 100 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (52 papers), Visual perception and processing mechanisms (35 papers) and Neural dynamics and brain function (27 papers). The work is most often cited by research in Cognitive Neuroscience (893 citations), Experimental and Cognitive Psychology (330 citations) and Social Psychology (365 citations). Yuji Takeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akihiro Yagi, Keita Kamijo, Motohiro Kimura, Steven Phillips, Ken Kihara, T. Sato, Motoyuki Akamatsu, Takatsune Kumada, Satoshi Kitazaki and Yanbin Wu. Their work appears in journals such as PLoS ONE, NeuroImage 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.