Melissa DeWolf

952 total citations
23 papers, 663 citations indexed

About

Melissa DeWolf is a scholar working on Statistics and Probability, Education and Developmental and Educational Psychology. According to data from OpenAlex, Melissa DeWolf has authored 23 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 18 papers in Education and 6 papers in Developmental and Educational Psychology. Recurrent topics in Melissa DeWolf's work include Cognitive and developmental aspects of mathematical skills (20 papers), Mathematics Education and Teaching Techniques (18 papers) and Statistics Education and Methodologies (7 papers). Melissa DeWolf is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (20 papers), Mathematics Education and Teaching Techniques (18 papers) and Statistics Education and Methodologies (7 papers). Melissa DeWolf collaborates with scholars based in United States, Russia and South Korea. Melissa DeWolf's co-authors include Keith J. Holyoak, Miriam Bassok, Stella Vosniadou, Robert S. Siegler, Lisa K. Fazio, Derek Powell, Ji Y. Son, James W. Stigler, William C. Loftus and Hee Seung Lee and has published in prestigious journals such as NeuroImage, Brain Research and Psychological Science.

In The Last Decade

Melissa DeWolf

22 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa DeWolf United States 14 522 486 200 87 71 23 663
Yujing Ni Hong Kong 11 498 1.0× 644 1.3× 199 1.0× 73 0.8× 33 0.5× 26 753
Xenia Vamvakoussi Greece 11 510 1.0× 588 1.2× 160 0.8× 92 1.1× 29 0.4× 18 674
Katherine L. McEldoon United States 8 223 0.4× 414 0.9× 315 1.6× 107 1.2× 46 0.6× 12 633
Meindert Beishuizen Netherlands 10 508 1.0× 535 1.1× 169 0.8× 100 1.1× 34 0.5× 13 631
Pessia Tsamir Israel 18 498 1.0× 874 1.8× 198 1.0× 92 1.1× 40 0.6× 68 1.0k
Michal Tabach Israel 17 286 0.5× 665 1.4× 258 1.3× 125 1.4× 52 0.7× 74 841
Hugues Lortie‐Forgues United Kingdom 9 257 0.5× 325 0.7× 139 0.7× 62 0.7× 28 0.4× 14 468
Ana C. Stephens United States 18 668 1.3× 966 2.0× 320 1.6× 72 0.8× 42 0.6× 40 1.1k
Anderson Norton United States 19 454 0.9× 658 1.4× 238 1.2× 29 0.3× 31 0.4× 77 805
Annie Selden United States 12 496 1.0× 929 1.9× 183 0.9× 79 0.9× 30 0.4× 32 1.1k

Countries citing papers authored by Melissa DeWolf

Since Specialization
Citations

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

Fields of papers citing papers by Melissa DeWolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa DeWolf. 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 Melissa DeWolf. The network helps show where Melissa DeWolf may publish in the future.

Co-authorship network of co-authors of Melissa DeWolf

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa DeWolf. A scholar is included among the top collaborators of Melissa DeWolf 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 Melissa DeWolf. Melissa DeWolf 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.
Son, Ji Y., et al.. (2018). Exploring the practicing-connections hypothesis: using gesture to support coordination of ideas in understanding a complex statistical concept. Cognitive Research Principles and Implications. 3(1). 1–1. 23 indexed citations
2.
DeWolf, Melissa, et al.. (2017). Semantic alignment across whole-number arithmetic and rational numbers: evidence from a Russian perspective. Thinking & Reasoning. 24(2). 198–220. 8 indexed citations
3.
DeWolf, Melissa, et al.. (2017). Reasoning strategies with rational numbers revealed by eye tracking. Attention Perception & Psychophysics. 79(5). 1426–1437. 16 indexed citations
4.
Powell, Derek, et al.. (2017). The Love of Large Numbers: A Popularity Bias in Consumer Choice. Psychological Science. 28(10). 1432–1442. 31 indexed citations
5.
DeWolf, Melissa, Jeffrey N. Chiang, Miriam Bassok, Keith J. Holyoak, & Martin M. Monti. (2016). Neural representations of magnitude for natural and rational numbers. NeuroImage. 141. 304–312. 14 indexed citations
6.
DeWolf, Melissa, et al.. (2016). The role of visual representations in college students’ understanding of mathematical notation.. Journal of Experimental Psychology Applied. 22(3). 295–304. 7 indexed citations
7.
DeWolf, Melissa, Miriam Bassok, & Keith J. Holyoak. (2016). A set for relational reasoning: Facilitation of algebraic modeling by a fraction task. Journal of Experimental Child Psychology. 152. 351–366. 17 indexed citations
8.
Lee, Hee Seung, Melissa DeWolf, Miriam Bassok, & Keith J. Holyoak. (2015). Conceptual and procedural distinctions between fractions and decimals: A cross-national comparison. Cognition. 147. 57–69. 17 indexed citations
9.
DeWolf, Melissa, Ji Y. Son, Miriam Bassok, & Keith J. Holyoak. (2015). Implicit Understanding of Arithmetic with Rational Numbers: The Impact of Expertise.. Cognitive Science. 1 indexed citations
10.
Fazio, Lisa K., Melissa DeWolf, & Robert S. Siegler. (2015). Strategy use and strategy choice in fraction magnitude comparison.. Journal of Experimental Psychology Learning Memory and Cognition. 42(1). 1–16. 97 indexed citations
11.
DeWolf, Melissa, Miriam Bassok, & Keith J. Holyoak. (2015). From rational numbers to algebra: Separable contributions of decimal magnitude and relational understanding of fractions. Journal of Experimental Child Psychology. 133. 72–84. 73 indexed citations
12.
Bassok, Miriam, et al.. (2015). Conceptual Integration of Arithmetic Operations With Real‐World Knowledge: Evidence From Event‐Related Potentials. Cognitive Science. 40(3). 723–757. 18 indexed citations
13.
DeWolf, Melissa, et al.. (2014). Semantic Alignment of Fractions and Decimals with Discrete Versus Continuous Entities: A Textbook Analysis. Cognitive Science. 36(36). 2 indexed citations
14.
DeWolf, Melissa & Keith J. Holyoak. (2014). Reciprocal and Multiplicative Relational Reasoning with Rational Numbers. Cognitive Science. 36(36). 1 indexed citations
15.
DeWolf, Melissa, Miriam Bassok, & Keith J. Holyoak. (2014). Conceptual structure and the procedural affordances of rational numbers: Relational reasoning with fractions and decimals.. Journal of Experimental Psychology General. 144(1). 127–150. 56 indexed citations
16.
Bassok, Miriam, et al.. (2014). Modeling discrete and continuous entities with fractions and decimals.. Journal of Experimental Psychology Applied. 21(1). 47–56. 29 indexed citations
17.
DeWolf, Melissa, Miriam Bassok, & Keith J. Holyoak. (2013). Analogical Reasoning with Rational Numbers: Semantic Alignment Based on Discrete Versus Continuous Quantities. Cognitive Science. 35(35). 5 indexed citations
18.
19.
DeWolf, Melissa, et al.. (2013). Magnitude comparison with different types of rational numbers.. Journal of Experimental Psychology Human Perception & Performance. 40(1). 71–82. 82 indexed citations
20.
DeWolf, Melissa & Stella Vosniadou. (2011). The Whole Number Bias in Fraction Magnitude Comparisons with Adults. Cognitive Science. 33(33). 24 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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