F. Sayako Earle

37 total papers · 674 total citations
23 papers, 425 citations indexed

About

F. Sayako Earle is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, F. Sayako Earle has authored 23 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Developmental and Educational Psychology, 17 papers in Cognitive Neuroscience and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in F. Sayako Earle's work include Reading and Literacy Development (13 papers), Language Development and Disorders (13 papers) and Neuroscience and Music Perception (8 papers). F. Sayako Earle is often cited by papers focused on Reading and Literacy Development (13 papers), Language Development and Disorders (13 papers) and Neuroscience and Music Perception (8 papers). F. Sayako Earle collaborates with scholars based in United States, Australia and India. F. Sayako Earle's co-authors include Emily B. Myers, Michael T. Ullman, Matthew Walenski, Karolina Janacsek, Stephanie N. Del Tufo, Nicole Landi, Laurie E. Cutting, Xin Xie, Bernard Grela and Tammie J. Spaulding and has published in prestigious journals such as PLoS ONE, Annual Review of Psychology and The Journal of the Acoustical Society of America.

In The Last Decade

F. Sayako Earle

22 papers receiving 422 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
F. Sayako Earle 273 267 145 32 28 23 425
Keith S. Apfelbaum 258 0.9× 201 0.8× 205 1.4× 26 0.8× 71 2.5× 20 409
Simone Falk 160 0.6× 329 1.2× 225 1.6× 10 0.3× 15 0.5× 36 476
Benjamin D. Zinszer 142 0.5× 303 1.1× 85 0.6× 23 0.7× 53 1.9× 36 440
Renate Zangl 373 1.4× 187 0.7× 124 0.9× 21 0.7× 25 0.9× 11 463
Donna Geffner 207 0.8× 341 1.3× 125 0.9× 7 0.2× 14 0.5× 21 449
Inger Moen 248 0.9× 276 1.0× 141 1.0× 9 0.3× 37 1.3× 26 455
Frederick F. Weiner 306 1.1× 118 0.4× 185 1.3× 15 0.5× 38 1.4× 15 413
Aaron D. Mitchel 208 0.8× 207 0.8× 217 1.5× 14 0.4× 52 1.9× 18 422
Carol K. S. To 275 1.0× 194 0.7× 144 1.0× 7 0.2× 16 0.6× 42 394
Ruth S. Day 92 0.3× 212 0.8× 200 1.4× 14 0.4× 68 2.4× 21 394

Countries citing papers authored by F. Sayako Earle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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