Laurel Fais

19 papers and 322 indexed citations i.

About

Laurel Fais is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Laurel Fais has authored 19 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Developmental and Educational Psychology, 10 papers in Experimental and Cognitive Psychology and 6 papers in Artificial Intelligence. Recurrent topics in Laurel Fais’s work include Language Development and Disorders (14 papers), Phonetics and Phonology Research (9 papers) and Reading and Literacy Development (8 papers). Laurel Fais is often cited by papers focused on Language Development and Disorders (14 papers), Phonetics and Phonology Research (9 papers) and Reading and Literacy Development (8 papers). Laurel Fais collaborates with scholars based in Canada, Japan and United Kingdom. Laurel Fais's co-authors include Janet F. Werker, Shigeaki Amano, Ferrán Pons, Roberta Michnick Golinkoff, Tania S. Zamuner, Afra Foroud, D. Geoffrey Hall, Suzanne Curtin, Eric Vatikiotis‐Bateson and Kathleen C. Engel and has published in prestigious journals such as Child Development, Developmental Psychology and The Journal of the Acoustical Society of America.

In The Last Decade

Co-authorship network of co-authors of Laurel Fais i

Fields of papers citing papers by Laurel Fais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurel Fais. 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 Laurel Fais. The network helps show where Laurel Fais may publish in the future.

Countries citing papers authored by Laurel Fais

Since Specialization
Citations

This map shows the geographic impact of Laurel Fais'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 Laurel Fais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurel Fais more than expected).

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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