Michelle Hurst

472 total citations
25 papers, 307 citations indexed

About

Michelle Hurst is a scholar working on Statistics and Probability, Education and Developmental and Educational Psychology. According to data from OpenAlex, Michelle Hurst has authored 25 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 17 papers in Education and 10 papers in Developmental and Educational Psychology. Recurrent topics in Michelle Hurst's work include Cognitive and developmental aspects of mathematical skills (20 papers), Mathematics Education and Teaching Techniques (16 papers) and Education Methods and Practices (5 papers). Michelle Hurst is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (20 papers), Mathematics Education and Teaching Techniques (16 papers) and Education Methods and Practices (5 papers). Michelle Hurst collaborates with scholars based in United States, Netherlands and Germany. Michelle Hurst's co-authors include Sara Cordes, Susan C. Levine, Ursula S. Anderson, Elizabeth A. Heller, Catherıne A. Haden, David H. Uttal, Jake McMullen, David W. Braithwaite, Susan P. Buckelew and Nadia Chernyak and has published in prestigious journals such as Journal of Educational Psychology, Developmental Psychology and Cognition.

In The Last Decade

Michelle Hurst

25 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Hurst United States 9 239 232 145 39 18 25 307
Jonna Salminen Finland 5 220 0.9× 212 0.9× 171 1.2× 28 0.7× 15 0.8× 7 309
Dana L. Chesney United States 12 273 1.1× 241 1.0× 119 0.8× 81 2.1× 27 1.5× 25 384
Noelle M. Crooks United States 6 99 0.4× 182 0.8× 143 1.0× 77 2.0× 20 1.1× 8 290
Caroline Byrd Hornburg United States 10 237 1.0× 256 1.1× 144 1.0× 28 0.7× 30 1.7× 19 322
Carole Greenes United States 10 252 1.1× 344 1.5× 99 0.7× 29 0.7× 37 2.1× 25 392
Caitlin Craddock United States 5 262 1.1× 216 0.9× 234 1.6× 29 0.7× 22 1.2× 6 349
Amber N. Bloomfield United States 6 128 0.5× 98 0.4× 78 0.5× 18 0.5× 4 0.2× 9 190
Chungsoon C. Kim United States 6 352 1.5× 350 1.5× 238 1.6× 42 1.1× 14 0.8× 8 452
Amy Scheuermann United States 11 155 0.6× 230 1.0× 114 0.8× 24 0.6× 29 1.6× 17 306
Zehra E. Ünal United States 6 152 0.6× 126 0.5× 121 0.8× 39 1.0× 18 1.0× 10 243

Countries citing papers authored by Michelle Hurst

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Hurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Hurst

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Hurst. A scholar is included among the top collaborators of Michelle Hurst 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 Michelle Hurst. Michelle Hurst 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.
Hurst, Michelle & Steven T. Piantadosi. (2024). Continuous and discrete proportion elicit different cognitive strategies. Cognition. 252. 105918–105918. 1 indexed citations
2.
Hurst, Michelle, et al.. (2022). Connecting symbolic fractions to their underlying proportions using iterative partitioning.. Developmental Psychology. 58(9). 1702–1715. 4 indexed citations
3.
Wagge, Jordan, Michelle Hurst, Mark J. Brandt, et al.. (2022). Teaching Research in Principle and in Practice: What Do Psychology Instructors Think of Research Projects in Their Courses?. Psychology Learning & Teaching. 22(1). 4–19. 2 indexed citations
4.
Hurst, Michelle & Susan C. Levine. (2022). Children's understanding of most is dependent on context. Cognition. 225. 105149–105149. 1 indexed citations
5.
Braithwaite, David W., Jake McMullen, & Michelle Hurst. (2021). Cross-notation knowledge of fractions and decimals. Journal of Experimental Child Psychology. 213. 105210–105210. 12 indexed citations
6.
Hurst, Michelle, Ty W. Boyer, & Sara Cordes. (2021). Spontaneous and directed attention to number and proportion.. Journal of Experimental Psychology Learning Memory and Cognition. 49(1). 33–50. 1 indexed citations
7.
Hurst, Michelle, et al.. (2021). Children’s gesture use provides insight into proportional reasoning strategies. Journal of Experimental Child Psychology. 214. 105277–105277. 5 indexed citations
8.
Hurst, Michelle, Alex Shaw, Nadia Chernyak, & Susan C. Levine. (2020). Giving a larger amount or a larger proportion: Stimulus format impacts children’s social evaluations.. Developmental Psychology. 56(12). 2212–2222. 8 indexed citations
9.
Hurst, Michelle, et al.. (2020). Preschoolers’ number knowledge relates to spontaneous focusing on number for small, but not large, sets.. Developmental Psychology. 56(10). 1879–1893. 8 indexed citations
10.
Hurst, Michelle, et al.. (2020). Supplementary materials to: Fraction magnitude: Mapping between symbolic and spatial representations of proportion. Psychology Archives. 1 indexed citations
11.
Hurst, Michelle, et al.. (2019). Leveraging Research on Informal Learning to Inform Policy on Promoting Early STEM. 32(3). 1–33. 26 indexed citations
12.
Hurst, Michelle & Sara Cordes. (2018). Talking about proportion: Fraction labels impact numerical interference in non‐symbolic proportional reasoning. Developmental Science. 22(4). e12790–e12790. 5 indexed citations
13.
Hurst, Michelle & Sara Cordes. (2018). Children’s understanding of fraction and decimal symbols and the notation-specific relation to pre-algebra ability. Journal of Experimental Child Psychology. 168. 32–48. 32 indexed citations
14.
Hurst, Michelle & Sara Cordes. (2017). Attending to relations: Proportional reasoning in 3- to 6-year-old children.. Developmental Psychology. 54(3). 428–439. 40 indexed citations
15.
Hurst, Michelle & Sara Cordes. (2017). Working memory strategies during rational number magnitude processing.. Journal of Educational Psychology. 109(5). 694–708. 1 indexed citations
16.
Hurst, Michelle & Sara Cordes. (2017). A systematic investigation of the link between rational number processing and algebra ability. British Journal of Psychology. 109(1). 99–117. 22 indexed citations
17.
Hurst, Michelle, et al.. (2016). The Effect of Emotion and Induced Arousal on Numerical Processing.. Cognitive Science. 1 indexed citations
18.
Hurst, Michelle, et al.. (2016). Biases and Benefits of Number Lines and Pie Charts in Proportion Representation.. Cognitive Science. 3 indexed citations
19.
Hurst, Michelle, Ursula S. Anderson, & Sara Cordes. (2016). Mapping Among Number Words, Numerals, and Nonsymbolic Quantities in Preschoolers. Journal of Cognition and Development. 18(1). 41–62. 29 indexed citations
20.
Hurst, Michelle & Sara Cordes. (2015). Rational-number comparison across notation: Fractions, decimals, and whole numbers.. Journal of Experimental Psychology Human Perception & Performance. 42(2). 281–293. 41 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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