F. Sayako Earle
- Developmental and Educational Psychology top 5%
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Statistics and Probability top 10%
- Artificial Intelligence
- Co-authors
- Emily B. MyersMichael T. UllmanKarolina JanacsekMatthew WalenskiStephanie N. Del TufoNicole LandiXin XieLaurie E. Cutting
- Topics
- Reading and Literacy Development (13 papers)Language Development and Disorders (13 papers)Neuroscience and Music Perception (8 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
F. Sayako Earle
22 papers receiving 429 citations
Peers
Comparison fields: 5 of 44
- Developmental and Educational Psychology 280
- Cognitive Neuroscience 272
- Experimental and Cognitive Psychology 144
- Statistics and Probability 33
- Artificial Intelligence 29
Countries citing papers authored by F. Sayako Earle
This map shows the geographic impact of F. Sayako Earle'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 F. Sayako Earle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Sayako Earle more than expected).
Fields of papers citing papers by F. Sayako Earle
This network shows the impact of papers produced by F. Sayako Earle. 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 F. Sayako Earle. The network helps show where F. Sayako Earle may publish in the future.
Co-authorship network of co-authors of F. Sayako Earle
This figure shows the co-authorship network connecting the top 25 collaborators of F. Sayako Earle. A scholar is included among the top collaborators of F. Sayako Earle 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 F. Sayako Earle. F. Sayako Earle 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 | 7 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 25 | |
| 13 | 16 | |
| 14 | 11 | |
| 15 | 27 | |
| 16 | 27 | |
| 17 | 2 | |
| 18 | 38 | |
| 19 | 18 | |
| 20 | 26 |
About F. Sayako Earle
F. Sayako Earle is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 23 papers that have together received 432 indexed citations. Recurring topics across this work include Reading and Literacy Development (13 papers), Language Development and Disorders (13 papers) and Neuroscience and Music Perception (8 papers). The work is most often cited by research in Developmental and Educational Psychology (280 citations), Cognitive Neuroscience (272 citations) and Experimental and Cognitive Psychology (144 citations). F. Sayako Earle has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Emily B. Myers, Michael T. Ullman, Karolina Janacsek, Matthew Walenski, Stephanie N. Del Tufo, Nicole Landi, Xin Xie, Laurie E. Cutting, Bernard Grela and Tammie J. Spaulding. Their work appears in journals such as PLoS ONE, Annual Review of Psychology and The Journal of the Acoustical Society of America.
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.