Dave Kush

1.2k citations
32 papers · 449 · h-index 12

Impact in

Papers in

Dave Kush

31 papers receiving 424 citations

Peers

Dave Kush
Comparison fields: 5 of 34
  • Language and Linguistics 301
  • Linguistics and Language 71
  • Cognitive Neuroscience 273
  • Developmental and Educational Psychology 159
  • Experimental and Cognitive Psychology 126
Replace Sonja Eisenbeiß with:
Sonja Eisenbeiß Germany
Philip Hofmeister United States
Jason Bishop United States
Chip Gerfen United States
Audrey Bürki Germany
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Heejeong Ko South Korea
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Outi Bat‐El Israel
Dave Kush relative to Sonja Eisenbeiß Germany Sonja Eisenbeiß's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dave Kush

Since Specialization
Citations

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

Fields of papers citing papers by Dave Kush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dave Kush, 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 Dave Kush Line = papers co-authored together Dave Kush 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 201396
2 201750
3 201944
4 201544
5 201426
6 201420
7 202019
8 201817
9 201716
10 201914
11 202114
12 202013
13 202210
14 201110
15 202110
16 20219
17 20118
18 20217
19 20184
20
Notes on Gapping in Hindi-Urdu: Conjunct Size and Focus Parallelism
20162

About Dave Kush

Dave Kush is a scholar working on Cognitive Neuroscience, Language and Linguistics, Developmental and Educational Psychology, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 32 papers that have together received 449 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (18 papers), Syntax, Semantics, Linguistic Variation (16 papers), Reading and Literacy Development (9 papers), Language, Discourse, Communication Strategies (6 papers), Phonetics and Phonology Research (5 papers), Language Development and Disorders (5 papers), Natural Language Processing Techniques (3 papers) and Linguistic Variation and Morphology (3 papers). The work is most often cited by research in Language and Linguistics (301 citations), Linguistics and Language (71 citations), Cognitive Neuroscience (273 citations), Developmental and Educational Psychology (159 citations) and Experimental and Cognitive Psychology (126 citations). Dave Kush has collaborated with scholars based in Norway, United States and Canada. Frequent co-authors include Jon Sprouse, Terje Lohndal, Colin Phillips, Jeffrey Lidz, Brian Dillon, Julie A. Van Dyke, Clinton L. Johns, Lisa Pearl, Maria Polinsky and Masaya Yoshida. Their work appears in journals such as Journal of Memory and Language, Glossa a journal of general linguistics, Language, Language Acquisition and Memory & 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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