David Barner

6.9k citations
121 papers · 3.0k · h-index 34

Impact in

Papers in

David Barner

114 papers receiving 2.8k citations

Peers

David Barner
Comparison fields: 5 of 91
  • Statistics and Probability 1.4k
  • Developmental and Educational Psychology 1.7k
  • Language and Linguistics 605
  • Experimental and Cognitive Psychology 625
  • Theoretical Computer Science 50
Replace Michel Fayol with:
Michel Fayol France
Sieghard Beller Germany
Jeffrey Lidz United States
Jesse Snedeker United States
Clarissa A. Thompson United States
Karin Landerl Austria
Kevin F. Miller United States
Martin D. S. Braine United States
Ira Noveck France
John E. Opfer United States
David Barner relative to Michel Fayol France Michel Fayol's profile →
Citations per field
00.5×
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 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010188
2 2004164
3 2008128
4 2012125
5 2009122
6 2011109
7 2009103
8 200791
9 201991
10 201379
11 200968
12 201667
13 201462
14 201362
15 201658
16 201152
17 200946
18 200646
19 201644
20 200842

About David Barner

David Barner is a scholar working on Developmental and Educational Psychology, Statistics and Probability, Education, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 121 papers that have together received 3.0k 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 (1.4k citations), Developmental and Educational Psychology (1.7k citations), Language and Linguistics (605 citations), Experimental and Cognitive Psychology (625 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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