Keisuke Fukuda
- Cognitive Neuroscience top 1%
- Neural and Behavioral Psychology Studies 47
- Neural dynamics and brain function 20
- EEG and Brain-Computer Interfaces 16
- Memory Processes and Influences 11
- Memory and Neural Mechanisms 9
- Visual perception and processing mechanisms 8
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- Cognitive Abilities and Testing 5
- General Decision Sciences top 10%
- Neurology top 10%
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- Visual Attention and Saliency Detection 4
- Co-authors
- Edward K. VogelEdward AwhNash UnsworthGeoffrey F. WoodmanUlrich MayrIrida ManceRobert M. G. ReinhartKirsten Adam
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Neuroscience (3 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Keisuke Fukuda
62 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cognitive Neuroscience 2.0k
- Experimental and Cognitive Psychology 692
- General Decision Sciences 33
- Neurology 117
- Developmental and Educational Psychology 161
Countries citing papers authored by Keisuke Fukuda
This map shows the geographic impact of Keisuke Fukuda'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 Keisuke Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Fukuda more than expected).
Fields of papers citing papers by Keisuke Fukuda
This network shows the impact of papers produced by Keisuke Fukuda. 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 Keisuke Fukuda. The network helps show where Keisuke Fukuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keisuke Fukuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 4 | |
| 11 | 2019 | 46 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 105 | |
| 14 | 2015 | 114 | |
| 15 | 2015 | 50 | |
| 16 | Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrievalbreakdown → | 2014 | 379 |
| 17 | 2013 | 80 | |
| 18 | 2010 | 214 | |
| 19 | 2009 | 269 | |
| 20 | 1992 | 15 |
About Keisuke Fukuda
Keisuke Fukuda is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and General Decision Sciences, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (47 papers), Neural dynamics and brain function (20 papers), EEG and Brain-Computer Interfaces (16 papers), Memory Processes and Influences (11 papers), Memory and Neural Mechanisms (9 papers), Visual perception and processing mechanisms (8 papers), Cognitive Abilities and Testing (5 papers) and Visual Attention and Saliency Detection (4 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Experimental and Cognitive Psychology (692 citations) and General Decision Sciences (33 citations). Keisuke Fukuda has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Edward K. Vogel, Edward Awh, Nash Unsworth, Geoffrey F. Woodman, Ulrich Mayr, Irida Mance, Robert M. G. Reinhart, Kirsten Adam, Min-Suk Kang and Katsumi Watanabe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
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.