David I. Miller

3.6k total citations · 4 hit papers
18 papers, 2.2k citations indexed

About

David I. Miller is a scholar working on Education, Developmental and Educational Psychology and Automotive Engineering. According to data from OpenAlex, David I. Miller has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 6 papers in Developmental and Educational Psychology and 5 papers in Automotive Engineering. Recurrent topics in David I. Miller's work include Spatial Cognition and Navigation (5 papers), Geography Education and Pedagogy (4 papers) and Education and Critical Thinking Development (3 papers). David I. Miller is often cited by papers focused on Spatial Cognition and Navigation (5 papers), Geography Education and Pedagogy (4 papers) and Education and Critical Thinking Development (3 papers). David I. Miller collaborates with scholars based in United States, Switzerland and United Kingdom. David I. Miller's co-authors include Alice H. Eagly, Diane F. Halpern, David H. Uttal, Sabine Sczesny, Christa Nater, Michèle Kaufmann, Marcia C. Linn, Nora S. Newcombe, Kyle Nolla and Jonathan Wai and has published in prestigious journals such as Psychological Bulletin, American Psychologist and Child Development.

In The Last Decade

David I. Miller

18 papers receiving 2.0k citations

Hit Papers

Gender stereotypes have changed: A cross-tempo... 2013 2026 2017 2021 2019 2013 2014 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David I. Miller United States 13 697 519 466 438 388 18 2.2k
Mara Cadinu Italy 26 852 1.2× 1.1k 2.2× 435 0.9× 271 0.6× 811 2.1× 41 2.2k
Susan M. Barnett United States 8 221 0.3× 225 0.4× 635 1.4× 697 1.6× 280 0.7× 10 2.2k
Willis F. Overton United States 30 159 0.2× 306 0.6× 565 1.2× 673 1.5× 628 1.6× 94 2.8k
Christoph Klimmt Germany 27 494 0.7× 2.0k 3.9× 282 0.6× 380 0.9× 757 2.0× 105 4.0k
Jacquelynne E. Parsons United States 16 298 0.4× 334 0.6× 1.2k 2.6× 1.3k 2.9× 673 1.7× 26 2.6k
Gerardo Ramirez United States 19 219 0.3× 195 0.4× 1.9k 4.1× 2.0k 4.5× 1.1k 2.7× 37 3.9k
Julia Sherman United States 24 500 0.7× 390 0.8× 1.8k 3.9× 1.8k 4.2× 626 1.6× 48 4.1k
Allison Master United States 19 611 0.9× 643 1.2× 821 1.8× 1.1k 2.4× 842 2.2× 32 3.0k
Ann Colley United Kingdom 24 598 0.9× 550 1.1× 146 0.3× 622 1.4× 327 0.8× 40 1.8k
Johannes Keller Germany 26 256 0.4× 1.1k 2.1× 619 1.3× 184 0.4× 950 2.4× 70 2.8k

Countries citing papers authored by David I. Miller

Since Specialization
Citations

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

Fields of papers citing papers by David I. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David I. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of David I. Miller. A scholar is included among the top collaborators of David I. Miller 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 I. Miller. David I. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Miller, David I., et al.. (2024). The development of children’s gender stereotypes about STEM and verbal abilities: A preregistered meta-analytic review of 98 studies.. Psychological Bulletin. 150(12). 1363–1396. 4 indexed citations
2.
Williams, Ryan T., et al.. (2022). Heterogeneity in Mathematics Intervention Effects: Evidence from a Meta-Analysis of 191 Randomized Experiments. Journal of Research on Educational Effectiveness. 15(3). 584–634. 21 indexed citations
3.
Miller, David I.. (2019). When Do Growth Mindset Interventions Work?. Trends in Cognitive Sciences. 23(11). 910–912. 22 indexed citations
4.
Eagly, Alice H., Christa Nater, David I. Miller, Michèle Kaufmann, & Sabine Sczesny. (2019). Gender stereotypes have changed: A cross-temporal meta-analysis of U.S. public opinion polls from 1946 to 2018.. American Psychologist. 75(3). 301–315. 632 indexed citations breakdown →
5.
Miller, David I., Kyle Nolla, Alice H. Eagly, & David H. Uttal. (2018). The Development of Children's Gender-Science Stereotypes: A Meta-analysis of 5 Decades of U.S. Draw-A-Scientist Studies. Child Development. 89(6). 1943–1955. 271 indexed citations breakdown →
6.
Atit, Kinnari, David I. Miller, Nora S. Newcombe, & David H. Uttal. (2018). Teachers’ spatial skills across disciplines and education levels: Exploring nationally representative data.. 6(1). 130–137. 13 indexed citations
7.
Hsu, Kevin J., A. M. Rosenthal, David I. Miller, & J. Michael Bailey. (2016). Sexual Arousal Patterns of Autogynephilic Male Cross-Dressers. Archives of Sexual Behavior. 46(1). 247–253. 11 indexed citations
8.
Eagly, Alice H. & David I. Miller. (2016). Scientific Eminence. Perspectives on Psychological Science. 11(6). 899–904. 54 indexed citations
9.
Miller, David I. & Jonathan Wai. (2015). The bachelor’s to Ph.D. STEM pipeline no longer leaks more women than men: a 30-year analysis. Frontiers in Psychology. 6. 37–37. 83 indexed citations
10.
Hsu, Kevin J., A. M. Rosenthal, David I. Miller, & J. Michael Bailey. (2015). Who are gynandromorphophilic men? Characterizing men with sexual interest in transgender women. Psychological Medicine. 46(4). 819–827. 21 indexed citations
11.
Miller, David I., Alice H. Eagly, & Marcia C. Linn. (2014). Women’s representation in science predicts national gender-science stereotypes: Evidence from 66 nations.. Journal of Educational Psychology. 107(3). 631–644. 295 indexed citations breakdown →
12.
Matuk, Camillia, et al.. (2013). Reflectively Prototyping a Tool for Exchanging Ideas. Computer Supported Collaborative Learning. 2. 101–104. 3 indexed citations
13.
Miller, David I. & Diane F. Halpern. (2013). The new science of cognitive sex differences. Trends in Cognitive Sciences. 18(1). 37–45. 410 indexed citations breakdown →
14.
Uttal, David H., David I. Miller, & Nora S. Newcombe. (2013). Exploring and Enhancing Spatial Thinking. Current Directions in Psychological Science. 22(5). 367–373. 204 indexed citations
15.
McElhaney, Kevin W., Camillia Matuk, David I. Miller, & Marcia C. Linn. (2012). Using the Idea Manager to Promote Coherent Understanding of Inquiry Investigations.. International Conference of Learning Sciences. 323–330. 14 indexed citations
16.
Matuk, Camillia, et al.. (2012). The Idea Manager: A Tool to Scaffold Students in Documenting, Sorting, And Distinguishing Ideas During Science Inquiry.. International Conference of Learning Sciences. 469–470. 5 indexed citations
17.
Miller, David I. & Diane F. Halpern. (2012). Can spatial training improve long-term outcomes for gifted STEM undergraduates?. Learning and Individual Differences. 26. 141–152. 87 indexed citations
18.
Miller, David I. & Diane F. Halpern. (2011). Spatial Thinking in Physics: Longitudinal Impacts of 3-D Spatial Training.. Cognitive Science. 33(33). 4 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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