Michael S. Matthews

1.9k total citations
68 papers, 1.1k citations indexed

About

Michael S. Matthews is a scholar working on Experimental and Cognitive Psychology, Education and Social Psychology. According to data from OpenAlex, Michael S. Matthews has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Experimental and Cognitive Psychology, 26 papers in Education and 15 papers in Social Psychology. Recurrent topics in Michael S. Matthews's work include Education, Achievement, and Giftedness (28 papers), Motivation and Self-Concept in Sports (13 papers) and Parental Involvement in Education (11 papers). Michael S. Matthews is often cited by papers focused on Education, Achievement, and Giftedness (28 papers), Motivation and Self-Concept in Sports (13 papers) and Parental Involvement in Education (11 papers). Michael S. Matthews collaborates with scholars based in United States, Australia and United Kingdom. Michael S. Matthews's co-authors include Jennifer L. Jolly, Matthew T. McBee, Scott J. Peters, Matthew C. Makel, Alex C. Garn, Karen Rambo‐Hernandez, Jonathan A. Plucker, D. Betsy McCoach, Elizabeth Shaunessy and Seon-Young Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Climatic Change and Enzyme and Microbial Technology.

In The Last Decade

Michael S. Matthews

63 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Matthews United States 21 679 513 248 192 126 68 1.1k
Jan Van Damme Belgium 22 851 1.3× 479 0.9× 408 1.6× 137 0.7× 108 0.9× 90 1.3k
E. Jean Gubbins United States 16 497 0.7× 392 0.8× 145 0.6× 123 0.6× 61 0.5× 55 848
Jenny Nagaoka United States 12 1.1k 1.6× 169 0.3× 312 1.3× 316 1.6× 150 1.2× 30 1.4k
Fani Lauermann Germany 22 908 1.3× 536 1.0× 630 2.5× 199 1.0× 148 1.2× 36 1.5k
Ann Robinson United States 15 508 0.7× 330 0.6× 126 0.5× 115 0.6× 50 0.4× 65 928
Judith Ireson United Kingdom 23 1.1k 1.6× 217 0.4× 163 0.7× 60 0.3× 48 0.4× 42 1.4k
Kaspar Schattke Canada 11 203 0.3× 245 0.5× 455 1.8× 82 0.4× 145 1.2× 26 903
Christopher Redding United States 15 924 1.4× 118 0.2× 129 0.5× 143 0.7× 80 0.6× 43 1.2k
Hanna Dumont Germany 17 1.1k 1.6× 183 0.4× 153 0.6× 59 0.3× 280 2.2× 43 1.4k
Tamjid Mujtaba United Kingdom 17 426 0.6× 182 0.4× 128 0.5× 197 1.0× 52 0.4× 37 728

Countries citing papers authored by Michael S. Matthews

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Matthews. A scholar is included among the top collaborators of Michael S. Matthews 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 S. Matthews. Michael S. Matthews 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.
Matthews, Michael S., et al.. (2025). Parent Perspectives of Behavioral and Emotional Development of Young High-Ability Children: A Pilot Study. Education Sciences. 15(5). 610–610.
2.
Matthews, Michael S., Aoife O’Mahony, David Moreau, et al.. (2024). Validity and Transparency in Quantifying Open-Ended Data. Advances in Methods and Practices in Psychological Science. 7(4). 7 indexed citations
3.
Wilson, James M., et al.. (2022). Health security warning intelligence during first contact with COVID: an operations perspective. Intelligence & National Security. 37(2). 216–240. 1 indexed citations
4.
Wilbanks, Thomas J., Rae Zimmerman, Susan Julius, et al.. (2020). Toward indicators of the performance of US infrastructures under climate change risks. Climatic Change. 163(4). 1795–1813. 12 indexed citations
5.
Matthews, Michael S., et al.. (2020). Examining Identification Practices and Services for Young Advanced and Gifted Learners in Selected North Carolina School Districts. Journal of Advanced Academics. 31(4). 411–435. 14 indexed citations
6.
Matthews, Michael S., et al.. (2019). Case Study of a New Engineering Early College High School: Advancing Educational Opportunities for Underrepresented Students in an Urban Area. Journal of Advanced Academics. 30(3). 235–267. 3 indexed citations
7.
Jolly, Jennifer L. & Michael S. Matthews. (2018). The shifting landscape of the homeschooling continuum. Educational Review. 72(3). 269–280. 23 indexed citations
8.
Matthews, Michael S., et al.. (2017). Fostering Authentic Problem Seeking: A Step Toward Social Justice Engagement. Roeper Review. 39(4). 250–261. 7 indexed citations
9.
Plucker, Jonathan A., Matthew C. Makel, Michael S. Matthews, Scott J. Peters, & Karen Rambo‐Hernandez. (2017). Blazing New Trails: Strengthening Policy Research in Gifted Education. Gifted Child Quarterly. 61(3). 210–218. 26 indexed citations
10.
Matthews, Michael S., et al.. (2014). The Validity of the Achievement-Orientation Model for Gifted Middle School Students. Gifted Child Quarterly. 58(3). 183–198. 46 indexed citations
11.
Matthews, Michael S., et al.. (2013). Effects of schoolwide cluster grouping and within-class ability grouping on elementary school students’ academic achievement growth. High Ability Studies. 24(2). 81–97. 29 indexed citations
12.
McBee, Matthew T., Elizabeth Shaunessy, & Michael S. Matthews. (2012). Policy Matters. Journal of Advanced Academics. 23(4). 326–344. 27 indexed citations
13.
Matthews, Michael S., et al.. (2012). Regression Discontinuity Design in Gifted and Talented Education Research. Gifted Child Quarterly. 56(2). 105–112. 6 indexed citations
14.
Jolly, Jennifer L., et al.. (2012). Homeschooling the Gifted. Gifted Child Quarterly. 57(2). 121–134. 41 indexed citations
15.
Matthews, Michael S. & Jennie L. Farmer. (2008). Factors Affecting the Algebra I Achievement of Academically Talented Learners. Journal of Advanced Academics. 19(3). 472–501. 24 indexed citations
16.
Matthews, Michael S.. (2006). Gifted students dropping out:Recent findings from a southeastern state. Roeper Review. 28(4). 216–223. 20 indexed citations
17.
Matthews, Michael S.. (2005). Polymer Chemistry: Introduction to an Indispensable Science. Journal of Chemical Education. 82(2). 213–214. 1 indexed citations
18.
Matthews, Michael S.. (2005). Polymer Chemistry: Introduction to an Indispensable Science (David M. Teegarden). Journal of Chemical Education. 82(2). 213–213. 1 indexed citations
19.
Matthews, Michael S.. (1995). História, filosofia e ensino de ciências: a tendência atual de reaproximação. SHILAP Revista de lepidopterología. 12(3). 164–214. 67 indexed citations
20.
Harris, Michael G., et al.. (1977). The Effect of Peripherally Fenestrated Contact Lenses on Corneal Edema. Optometry and Vision Science. 54(1). 27–30. 7 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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