Arielle Borovsky

2.7k citations
52 papers · 1.5k · h-index 19

Impact in

Papers in

Arielle Borovsky

51 papers receiving 1.4k citations

Peers

Arielle Borovsky
Comparison fields: 5 of 62
  • Developmental and Educational Psychology 1.1k
  • Cognitive Neuroscience 786
  • Experimental and Cognitive Psychology 260
  • Human-Computer Interaction 62
  • Language and Linguistics 78
Replace Hanako Yoshida with:
Hanako Yoshida United States
Lynn K. Perry United States
Kristof Strijkers France
Alissa Melinger United Kingdom
Lisa Gershkoff‐Stowe United States
Timothy Desmet Belgium
Eiling Yee United States
Aaron J. Newman Canada
Davide Crepaldi Italy
Weiyi Ma China
Arielle Borovsky relative to Hanako Yoshida United States Hanako Yoshida's profile →
Citations per field
00.5×2.8×
Hanako Yoshida · 1×
Citations per year

Countries citing papers authored by Arielle Borovsky

Since Specialization
Citations

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

Fields of papers citing papers by Arielle Borovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arielle Borovsky, 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 Arielle Borovsky Line = papers co-authored together Arielle Borovsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012237
2 2012219
3 2010117
4 2012117
5 2007100
6 201578
7 200663
8 201650
9 201542
10 201940
11 201336
12 201435
13 201935
14 201431
15 201327
16 201925
17 201425
18 201723
19 202120
20 202116

About Arielle Borovsky

Arielle Borovsky is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology, Artificial Intelligence and Social Psychology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Language Development and Disorders (29 papers), Reading and Literacy Development (27 papers), Neurobiology of Language and Bilingualism (26 papers), Child and Animal Learning Development (15 papers), Language, Metaphor, and Cognition (8 papers), Hearing Impairment and Communication (5 papers), Speech and dialogue systems (3 papers) and Action Observation and Synchronization (3 papers). The work is most often cited by research in Developmental and Educational Psychology (1.1k citations), Cognitive Neuroscience (786 citations), Experimental and Cognitive Psychology (260 citations), Human-Computer Interaction (62 citations) and Language and Linguistics (78 citations). Arielle Borovsky has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jeffrey L. Elman, Anne Fernald, Marta Kutas, Ricardo A. H. Bion, Julia L. Evans, Erica M. Ellis, Nina F. Dronkers, Ayşe Pınar Saygın, Elizabeth Bates and Amy M. Lieberman. Their work appears in journals such as Cognitive Science, Developmental Science, PLoS ONE, Developmental Psychology and Journal of Experimental Child Psychology.

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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