David Barner

6.8k total citations
120 papers, 2.9k citations indexed

About

David Barner is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Education. According to data from OpenAlex, David Barner has authored 120 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Developmental and Educational Psychology, 68 papers in Statistics and Probability and 36 papers in Education. Recurrent topics in David Barner's work include Cognitive and developmental aspects of mathematical skills (68 papers), Reading and Literacy Development (57 papers) and Child and Animal Learning Development (46 papers). David Barner is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (68 papers), Reading and Literacy Development (57 papers) and Child and Animal Learning Development (46 papers). David Barner collaborates with scholars based in United States, Canada and Slovenia. David Barner's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Child Development.

In The Last Decade

David Barner

114 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Barner United States	33	1.7k	1.3k	969	623	608	120	2.9k
Marina Vasilyeva United States	24	1.6k 0.9×	730 0.5×	1.1k 1.2×	434 0.7×	160 0.3×	60	2.8k
Michel Fayol France	42	3.7k 2.2×	1.6k 1.2×	2.9k 3.0×	628 1.0×	728 1.2×	172	5.3k
Dorit Ravid Israel	30	2.2k 1.3×	474 0.4×	818 0.8×	296 0.5×	546 0.9×	101	2.6k
Laurie Beth Feldman United States	34	3.2k 1.9×	515 0.4×	412 0.4×	1.1k 1.7×	601 1.0×	83	4.1k
Janet F. McLean United Kingdom	19	1.2k 0.7×	367 0.3×	202 0.2×	521 0.8×	482 0.8×	43	2.0k
Diane August United States	32	3.8k 2.2×	570 0.4×	1.9k 1.9×	165 0.3×	1.1k 1.8×	74	4.9k
Laura L. Namy United States	24	1.8k 1.1×	215 0.2×	282 0.3×	913 1.5×	208 0.3×	48	2.5k
Mikko Aro Finland	33	4.0k 2.4×	1.5k 1.1×	2.5k 2.5×	419 0.7×	148 0.2×	102	4.9k
S. Hélène Deacon Canada	36	4.5k 2.7×	1.9k 1.4×	2.3k 2.4×	187 0.3×	414 0.7×	143	4.9k
Steven A. Stahl United States	34	4.8k 2.9×	950 0.7×	2.8k 2.8×	325 0.5×	732 1.2×	88	5.6k

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-authorship network of co-authors of David Barner

This figure shows the co-authorship network connecting the top 25 collaborators of David Barner. A scholar is included among the top collaborators of David Barner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Barner. David Barner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Schneider, Rose M., et al.. (2025). The development of cardinal extension: From counting to exact equality.. Developmental Psychology. 61(6). 1180–1195. 1 indexed citations

Bale, Alan, et al.. (2025). The effect of online methods on epistemic inference and scalar implicature. Journal of Pragmatics. 242. 76–92.

Pearson, Lucy, et al.. (2025). Great expectations: Print exposure predicts resolution of quantifier scope ambiguity.. Journal of Experimental Psychology Learning Memory and Cognition. 51(11). 1837–1850. 1 indexed citations

Bale, Alan, et al.. (2024). Competence by default: do listeners assume that speakers are knowledgeable when computing conversational inferences?. Journal of Semantics. 42(1-2). 39–55. 1 indexed citations

Barner, David, et al.. (2024). Twice Upon a Time: Children Use Syntax to Learn the Meanings of Yesterday and Tomorrow. Developmental Science. 28(2). e13600–e13600. 1 indexed citations

Barner, David, et al.. (2022). Ongoing dynamic calibration produces unstable number estimates.. Journal of Experimental Psychology General. 151(9). 2092–2114. 1 indexed citations

Barner, David, et al.. (2021). How Reliable is the Give-a-Number task?. PsyArXiv (OSF Preprints). 5 indexed citations

Barner, David, et al.. (2021). The Acquisition of French Un. PsyArXiv (OSF Preprints). 1 indexed citations

Schneider, Rose M. & David Barner. (2020). Children use one-to-one correspondence to establish equality after learning to count.. Cognitive Science. 2 indexed citations

10.

Srinivasan, Mahesh, Katie Wagner, Michael C. Frank, & David Barner. (2018). The Role of Design and Training in Artifact Expertise: The Case of the Abacus and Visual Attention. Cognitive Science. 42(S3). 757–782. 6 indexed citations

11.

Tillman, Katharine A., et al.. (2017). Picturing time: Children's preferences for visual representations of events.. Cognitive Science. 1 indexed citations

12.

Marušič, Franc, et al.. (2016). Does Grammatical Structure Accelerate Number Word Learning? Evidence from Learners of Dual and Non-Dual Dialects of Slovenian. PLoS ONE. 11(8). e0159208–e0159208. 25 indexed citations

13.

Cheung, Pierina, et al.. (2016). To infinity and beyond: Children generalize the successor function to all possible numbers years after learning to count. Cognitive Psychology. 92. 22–36. 64 indexed citations

14.

Cheung, Pierina, et al.. (2014). Concepts as Representations for Essences: Evidence from Use of Generics. Cognitive Science. 36(36).

15.

Dunham, Yarrow, Mahesh Srinivasan, Ron Dotsch, & David Barner. (2013). Religion insulates ingroup evaluations: the development of intergroup attitudes in India. Developmental Science. 17(2). 311–319. 34 indexed citations

16.

Cheung, Pierina, Peggy Li, & David Barner. (2012). What counts in Mandarin Chinese: A study of individuation and quantification. Cognitive Science. 34(34). 6 indexed citations

17.

Barner, David, et al.. (2009). Cross-linguistic relations between quantifiers and numerals in language acquisition: Evidence from Japanese. Journal of Experimental Child Psychology. 103(4). 421–440. 67 indexed citations

18.

Cheung, Pierina, Peggy Li, & David Barner. (2008). Source of Individuation in Mandarin Chinese, a Classifier Language. Pacific Asia Conference on Language, Information, and Computation. 22. 151–160. 1 indexed citations

19.

Barner, David, et al.. (2007). On the relation between the acquisition of singular–plural morpho‐syntax and the conceptual distinction between one and more than one. Developmental Science. 10(3). 365–373. 90 indexed citations

20.

Barner, David & Jesse Snedeker. (2004). Mapping individuation to mass-count syntax in language acquisition. eScholarship (California Digital Library). 26(26). 2 indexed citations

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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