Ken Nakayama
- Cognitive Neuroscience top 0.2%
- Experimental and Cognitive Psychology top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Social Psychology top 2%
- Developmental and Educational Psychology top 5%
- Co-authors
- Vera MaljkovicManfred MacKebenBrad DuchaineBradley DuchaineMary J. BravoRichard RussellSara C. MednickRobert Stickgold
- Topics
- Visual perception and processing mechanisms (24 papers)Face Recognition and Perception (22 papers)Neural and Behavioral Psychology Studies (13 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- NatureSHILAP Revista de lepidopterologíaNature Neuroscience
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Ken Nakayama
91 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cognitive Neuroscience 5.8k
- Experimental and Cognitive Psychology 1.9k
- Computer Vision and Pattern Recognition 1.4k
- Social Psychology 682
- Developmental and Educational Psychology 325
Countries citing papers authored by Ken Nakayama
This map shows the geographic impact of Ken Nakayama'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 Ken Nakayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Nakayama more than expected).
Fields of papers citing papers by Ken Nakayama
This network shows the impact of papers produced by Ken Nakayama. 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 Ken Nakayama. The network helps show where Ken Nakayama may publish in the future.
Co-authorship network of co-authors of Ken Nakayama
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Nakayama. A scholar is included among the top collaborators of Ken Nakayama 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 Ken Nakayama. Ken Nakayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 23 | |
| 10 | 11 | |
| 11 | 23 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 84 | |
| 17 | 357 | |
| 18 | 116 | |
| 19 | 140 | |
| 20 | Training of voluntary torsion. | 61 |
About Ken Nakayama
Ken Nakayama is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Surgery, having authored 99 papers that have together received 6.8k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (24 papers), Face Recognition and Perception (22 papers) and Neural and Behavioral Psychology Studies (13 papers). The work is most often cited by research in Cognitive Neuroscience (5.8k citations), Experimental and Cognitive Psychology (1.9k citations) and Computer Vision and Pattern Recognition (1.4k citations). Ken Nakayama has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Vera Maljkovic, Manfred MacKeben, Brad Duchaine, Bradley Duchaine, Mary J. Bravo, Richard Russell, Sara C. Mednick, Robert Stickgold, Laura Germine and Marnix Naber. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Nature Neuroscience.
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.