David Barner

6.8k citations
120 papers · 2.9k indexed · h-index 33

Impact in

Papers in

David Barner

114 papers receiving 2.8k citations

Peers

David Barner
Comparison fields: 5 of 91
  • Statistics and Probability 1.3k
  • Developmental and Educational Psychology 1.7k
  • Language and Linguistics 608
  • Experimental and Cognitive Psychology 623
  • Theoretical Computer Science 50
Replace Michel Fayol with:
Michel Fayol France
Sieghard Beller Germany
Jeffrey Lidz United States
Adrian Simpson United Kingdom
Jesse Snedeker United States
Clarissa A. Thompson United States
Ann Dowker United Kingdom
Karin Landerl Austria
Kevin F. Miller United States
Martin D. S. Braine United States
David Barner relative to Michel Fayol France Michel Fayol's profile →
Citations per field
00.5×4.2×
Michel Fayol · 1×
Citations per year

Countries citing papers authored by David Barner

Since Specialization
Citations

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

Fields of papers citing papers by David Barner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010187
2 2004164
3 2008127
4 2012124
5 2009122
6 2011107
7 2009103
8 200790
9 201988
10 201378
11 200967
12 201664
13 201461
14 201359
15 201656
16 201151
17 200646
18 200945
19 201342
20 200842

About David Barner

David Barner is a scholar working on Statistics and Probability, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Language and Linguistics and Education, having authored 120 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (68 papers), Reading and Literacy Development (57 papers), Child and Animal Learning Development (46 papers), Mathematics Education and Teaching Techniques (34 papers), Language Development and Disorders (25 papers), Categorization, perception, and language (16 papers), Syntax, Semantics, Linguistic Variation (12 papers) and Language, Metaphor, and Cognition (12 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Developmental and Educational Psychology (1.7k citations), Language and Linguistics (608 citations), Experimental and Cognitive Psychology (623 citations) and Theoretical Computer Science (50 citations). David Barner has collaborated with scholars based in United States, Canada and Slovenia. Frequent co-authors include Alan Bale, Jesse Snedeker, Jessica Sullivan, Neon Brooks, Susan Carey, Michael C. Frank, Asaf Bachrach, Pierina Cheung, Mahesh Srinivasan and Katharine A. Tillman. Their work appears in journals such as Cognition, Cognitive Science, Developmental Science, Cognitive Psychology and Language Learning and Development.

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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