Laurel Fais

550 citations
20 papers · 346 indexed · h-index 9

Impact in

Papers in

Laurel Fais

19 papers receiving 330 citations

Peers

Laurel Fais
Comparison fields: 5 of 34
  • Developmental and Educational Psychology 271
  • Experimental and Cognitive Psychology 226
  • Linguistics and Language 37
  • Pharmacy 33
  • Developmental Biology 14
Replace Christine L. Matyear with:
Christine L. Matyear United States
Chandan Narayan Canada
Katherine A. Yoshida United States
Gwyneth C. Rost United States
Judith E. Pegg Canada
Jae Yung Song United States
Mary R. Smith United States
Natalie Boll‐Avetisyan Germany
Marieke van Heugten Canada
Andrei Amatuni United States
Laurel Fais relative to Christine L. Matyear United States Christine L. Matyear's profile →
Citations per field
00.5×3.3×
Christine L. Matyear · 1×
Citations per year

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).

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.

Co-authors

The 17 scholars most cited alongside Laurel Fais, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laurel Fais Line = papers co-authored together Laurel Fais links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2006148
2 201254
3 200946
4 200414
5 201713
6 200911
7 201211
8 20068
9 20158
10 20096
11 20146
12 20045
13 20055
14 20104
15 20053
16
Phonetic category cues in adult-directed speech: Evidence from three languages with distinct vowel characteristics
20121
17 19961
18 20181
19 20031
20
Discourse Issues in the Translation of Japanese Email
20150

About Laurel Fais

Laurel Fais is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Artificial Intelligence, Pharmacy and Human-Computer Interaction, having authored 20 papers that have together received 346 indexed citations. Recurring topics across this work include Language Development and Disorders (14 papers), Phonetics and Phonology Research (9 papers), Reading and Literacy Development (8 papers), Speech and dialogue systems (6 papers), Child and Animal Learning Development (4 papers), Hearing Impairment and Communication (3 papers), Natural Language Processing Techniques (3 papers) and Categorization, perception, and language (1 paper). The work is most often cited by research in Developmental and Educational Psychology (271 citations), Experimental and Cognitive Psychology (226 citations), Linguistics and Language (37 citations), Pharmacy (33 citations) and Developmental Biology (14 citations). Laurel Fais has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Janet F. Werker, Shigeaki Amano, Ferrán Pons, Roberta Michnick Golinkoff, D. Geoffrey Hall, Tania S. Zamuner, Afra Foroud, Mélanie Havy, Kathleen C. Engel and Suzanne Curtin. Their work appears in journals such as Infancy, Child Development, The Journal of the Acoustical Society of America, Journal of Child Language and Computational Linguistics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026