Jeffrey M. Yau
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 2%
- Social Psychology top 10%
- Biomedical Engineering
- Human-Computer Interaction top 5%
- Co-authors
- Sliman J. Bensmaı̈aSteven S. HsiaoMark HollinsJohn F. DammannCharles E. ConnorAnitha PasupathyDaniel PolskyJosé A. Pagán
- Topics
- Tactile and Sensory Interactions (21 papers)Multisensory perception and integration (21 papers)Visual perception and processing mechanisms (13 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyApplied Microbiology and Biotechnology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- United StatesNetherlandsHong Kong
In The Last Decade
Jeffrey M. Yau
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 128
- Cognitive Neuroscience 742
- Experimental and Cognitive Psychology 420
- Social Psychology 164
- Biomedical Engineering 77
- Human-Computer Interaction 67
Countries citing papers authored by Jeffrey M. Yau
This map shows the geographic impact of Jeffrey M. Yau'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 Jeffrey M. Yau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Yau more than expected).
Fields of papers citing papers by Jeffrey M. Yau
This network shows the impact of papers produced by Jeffrey M. Yau. 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 Jeffrey M. Yau. The network helps show where Jeffrey M. Yau may publish in the future.
Co-authorship network of co-authors of Jeffrey M. Yau
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Yau. A scholar is included among the top collaborators of Jeffrey M. Yau 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 Jeffrey M. Yau. Jeffrey M. Yau 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 | 8 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 21 | |
| 10 | 59 | |
| 11 | 28 | |
| 12 | 7 | |
| 13 | 8 | |
| 14 | 35 | |
| 15 | 130 | |
| 16 | 6 | |
| 17 | 65 | |
| 18 | 99 | |
| 19 | 81 | |
| 20 | Gender Differences in the Basis and Level of Adult Self-esteem--A Cross-Cultural Perspective | 5 |
About Jeffrey M. Yau
Jeffrey M. Yau is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Neurology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (21 papers), Multisensory perception and integration (21 papers) and Visual perception and processing mechanisms (13 papers). The work is most often cited by research in Cognitive Neuroscience (742 citations), Experimental and Cognitive Psychology (420 citations) and Applied Microbiology and Biotechnology (49 citations). Jeffrey M. Yau has collaborated with scholars based in United States, Netherlands and Hong Kong. Frequent co-authors include Sliman J. Bensmaı̈a, Steven S. Hsiao, Mark Hollins, John F. Dammann, Charles E. Connor, Anitha Pasupathy, Daniel Polsky, José A. Pagán, Pramodsingh H. Thakur and David Watkins. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.
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.