Laurel Brehm

791 citations
32 papers · 439 · h-index 11

Impact in

Papers in

Laurel Brehm

28 papers receiving 426 citations

Peers

Laurel Brehm
Comparison fields: 5 of 48
  • Developmental and Educational Psychology 245
  • Cognitive Neuroscience 330
  • Experimental and Cognitive Psychology 115
  • Language and Linguistics 89
  • Artificial Intelligence 91
Replace Arild Hestvik with:
Arild Hestvik United States
Winston D. Goh Singapore
Tamar Degani Israel
Pauli Brattico Finland
Lynne Stallings United States
Wing-Yee Chow United Kingdom
Aine Ito United Kingdom
Bastien Boutonnet United Kingdom
Benjamin Swets United States
Stephani Foraker United States
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Citations per field
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Citations per year

Countries citing papers authored by Laurel Brehm

Since Specialization
Citations

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

Fields of papers citing papers by Laurel Brehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201496
2 202280
3 201055
4 201333
5 201824
6 201817
7 201716
8 201911
9 202111
10 201810
11 201810
12 20169
13 20178
14 20208
15 20217
16 20195
17 20195
18 20225
19 20155
20 20214

About Laurel Brehm

Laurel Brehm is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Language and Linguistics, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 32 papers that have together received 439 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (24 papers), Reading and Literacy Development (16 papers), Language Development and Disorders (7 papers), Second Language Acquisition and Learning (5 papers), Syntax, Semantics, Linguistic Variation (4 papers), Language, Discourse, Communication Strategies (4 papers), Speech and dialogue systems (3 papers) and Language, Metaphor, and Cognition (3 papers). The work is most often cited by research in Developmental and Educational Psychology (245 citations), Cognitive Neuroscience (330 citations), Experimental and Cognitive Psychology (115 citations), Language and Linguistics (89 citations) and Artificial Intelligence (91 citations). Laurel Brehm has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Phillip M. Alday, Darren Tanner, Janet Nicol, Kathryn Bock, Antje S. Meyer, Carrie N. Jackson, Karen Miller, Enriqueta Canseco-Gonzalez, Cameron Brick and Sarah Brown‐Schmidt. Their work appears in journals such as Language Cognition and Neuroscience, Journal of Memory and Language, Psychonomic Bulletin & Review, Quarterly Journal of Experimental Psychology and Journal of Experimental Psychology Learning Memory and Cognition.

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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