Michael M. Barger

1.0k total citations · 1 hit paper
24 papers, 615 citations indexed

About

Michael M. Barger is a scholar working on Experimental and Cognitive Psychology, Education and Social Psychology. According to data from OpenAlex, Michael M. Barger has authored 24 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Experimental and Cognitive Psychology, 12 papers in Education and 7 papers in Social Psychology. Recurrent topics in Michael M. Barger's work include Education, Achievement, and Giftedness (9 papers), Educational Strategies and Epistemologies (6 papers) and Education and Critical Thinking Development (5 papers). Michael M. Barger is often cited by papers focused on Education, Achievement, and Giftedness (9 papers), Educational Strategies and Epistemologies (6 papers) and Education and Critical Thinking Development (5 papers). Michael M. Barger collaborates with scholars based in United States and Ghana. Michael M. Barger's co-authors include Eva M. Pomerantz, Nathan R. Kuncel, Lisa Linnenbrink‐Garcia, Stephanie V. Wormington, Tony Perez, Rochelle D. Schwartz‐Bloom, Lisa Linnenbrink‐Garcia, You‐kyung Lee, Kate E. Snyder and Laura Smart Richman and has published in prestigious journals such as Psychological Bulletin, Child Development and Journal of Educational Psychology.

In The Last Decade

Michael M. Barger

22 papers receiving 595 citations

Hit Papers

The relation between parents’ involvement in children’s s... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael M. Barger United States 13 419 213 180 144 92 24 615
Amélie Roy Canada 5 325 0.8× 193 0.9× 84 0.5× 258 1.8× 93 1.0× 5 554
Kyle Hubbard Canada 6 206 0.5× 141 0.7× 132 0.7× 157 1.1× 50 0.5× 8 554
Alyssa R. Gonzalez-DeHass United States 9 596 1.4× 93 0.4× 220 1.2× 82 0.6× 83 0.9× 22 728
Anna Tapola Finland 12 253 0.6× 307 1.4× 65 0.4× 263 1.8× 154 1.7× 30 573
Alyssa Parr United States 8 503 1.2× 115 0.5× 141 0.8× 204 1.4× 138 1.5× 13 714
Brigitte Maria Brisson Germany 8 288 0.7× 335 1.6× 52 0.3× 247 1.7× 106 1.2× 10 562
Kerstin Schütte Germany 10 252 0.6× 167 0.8× 51 0.3× 113 0.8× 96 1.0× 15 409
Jeanne M. Friedel United States 3 334 0.8× 257 1.2× 56 0.3× 219 1.5× 117 1.3× 4 560
Roch Chouinard Canada 12 366 0.9× 254 1.2× 55 0.3× 261 1.8× 106 1.2× 36 602
Sakhavat Mammadov United States 11 137 0.3× 184 0.9× 174 1.0× 183 1.3× 61 0.7× 30 455

Countries citing papers authored by Michael M. Barger

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Barger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael M. Barger. 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 Michael M. Barger. The network helps show where Michael M. Barger may publish in the future.

Co-authorship network of co-authors of Michael M. Barger

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

All Works

20 of 20 papers shown
1.
Barger, Michael M., et al.. (2024). Does inducing growth-oriented mindsets about math ability in parents enhance children’s math mindsets, affect, and achievement?. Developmental Psychology. 60(12). 2396–2408. 6 indexed citations
2.
Rosenzweig, Emily Q., et al.. (2024). Beyond STEM attrition: changing career plans within STEM fields in college is associated with lower motivation, certainty, and satisfaction about one’s career. International Journal of STEM Education. 11(1). 9 indexed citations
3.
Rosenzweig, Emily Q., et al.. (2023). Disentangling the relation among emotional cost, psychological cost, and anxiety with College Students. Motivation and Emotion. 47(6). 1040–1061. 7 indexed citations
4.
5.
Barger, Michael M., et al.. (2022). Parents’ daily involvement in children’s math homework and activities during early elementary school. Child Development. 93(5). 1347–1364. 25 indexed citations
6.
Barger, Michael M., et al.. (2022). Parents' responses to children's math performance in early elementary school: Links with parents' math beliefs and children's math adjustment. Child Development. 93(6). e639–e655. 12 indexed citations
7.
Barger, Michael M., et al.. (2022). Identifying false growth mindsets in adults and implications for mathematics motivation. Contemporary Educational Psychology. 70. 102079–102079. 27 indexed citations
8.
Snyder, Kate E., et al.. (2021). Concordance and discordance in implicit beliefs about intelligence and giftedness. Learning and Individual Differences. 86. 101971–101971. 6 indexed citations
10.
Barger, Michael M., et al.. (2019). The relation between parents’ involvement in children’s schooling and children’s adjustment: A meta-analysis.. Psychological Bulletin. 145(9). 855–890. 228 indexed citations breakdown →
11.
Perez, Tony, Stephanie V. Wormington, Michael M. Barger, et al.. (2019). Science expectancy, value, and cost profiles and their proximal and distal relations to undergraduate science, technology, engineering, and math persistence. Science Education. 103(2). 264–286. 83 indexed citations
12.
Barger, Michael M., et al.. (2018). Merged identity of student-athletes and achievement goals across school and sport. Journal for the Study of Sports and Athletes in Education. 12(2). 75–93. 4 indexed citations
13.
Barger, Michael M.. (2018). Connections Between Instructor Messages and Undergraduate Students' Changing Personal Theories About Education. The Journal of Experimental Education. 87(2). 314–331. 12 indexed citations
14.
Linnenbrink‐Garcia, Lisa, Tony Perez, Michael M. Barger, et al.. (2018). Repairing the leaky pipeline: A motivationally supportive intervention to enhance persistence in undergraduate science pathways. Contemporary Educational Psychology. 53. 181–195. 53 indexed citations
15.
Barger, Michael M., Tony Perez, Dorian A. Canelas, & Lisa Linnenbrink‐Garcia. (2018). Constructivism and personal epistemology development in undergraduate chemistry students. Learning and Individual Differences. 63. 89–101. 27 indexed citations
16.
Barger, Michael M., et al.. (2016). Developmental changes in college engineering students' personal epistemology profiles. Learning and Individual Differences. 48. 1–8. 12 indexed citations
17.
Barger, Michael M. & Lisa Linnenbrink‐Garcia. (2016). Developmental Systems of Students' Personal Theories About Education. Educational Psychologist. 52(2). 63–83. 19 indexed citations
18.
Chen, Jason & Michael M. Barger. (2016). Epistemic Cognition and Motivation. 425–438. 8 indexed citations
19.
Godin, Elizabeth A., Stephanie V. Wormington, Tony Perez, et al.. (2015). A Pharmacology-Based Enrichment Program for Undergraduates Promotes Interest in Science. CBE—Life Sciences Education. 14(4). ar40–ar40. 13 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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