Emilie J. Prast

421 total citations
7 papers, 266 citations indexed

About

Emilie J. Prast is a scholar working on Statistics and Probability, Experimental and Cognitive Psychology and Education. According to data from OpenAlex, Emilie J. Prast has authored 7 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 4 papers in Experimental and Cognitive Psychology and 3 papers in Education. Recurrent topics in Emilie J. Prast's work include Cognitive and developmental aspects of mathematical skills (5 papers), Education, Achievement, and Giftedness (3 papers) and Motivation and Self-Concept in Sports (2 papers). Emilie J. Prast is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (5 papers), Education, Achievement, and Giftedness (3 papers) and Motivation and Self-Concept in Sports (2 papers). Emilie J. Prast collaborates with scholars based in Netherlands, Germany and Belgium. Emilie J. Prast's co-authors include Eva van de Weijer‐Bergsma, Johannes E. H. Van Luit, Evelyn H. Kroesbergen, Kathrin Pietsch, Barbara Frühe, Antje‐Kathrin Allgaier, Johanna Sigl‐Glöckner, Gerd Schulte‐Körne, Milica Miočević and Kim Stroet and has published in prestigious journals such as Learning and Instruction, Behavior Research Methods and Contemporary Educational Psychology.

In The Last Decade

Emilie J. Prast

6 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emilie J. Prast Netherlands	4	110	73	60	52	44	7	266
Airi Hakkarainen Finland	10	107 1.0×	20 0.3×	29 0.5×	86 1.7×	104 2.4×	21	278
Qinxin Shi United States	8	142 1.3×	42 0.6×	56 0.9×	173 3.3×	42 1.0×	23	268
Dan Cai China	13	107 1.0×	115 1.6×	121 2.0×	182 3.5×	107 2.4×	33	467
Nicholas E. Waters United States	4	226 2.1×	101 1.4×	27 0.5×	111 2.1×	103 2.3×	7	397
Stacy L. Bliss United States	10	151 1.4×	50 0.7×	63 1.1×	44 0.8×	145 3.3×	15	306
Lucy A. Lurie United States	7	95 0.9×	60 0.8×	31 0.5×	102 2.0×	42 1.0×	12	252
Ryan L. Farmer United States	10	51 0.5×	77 1.1×	53 0.9×	90 1.7×	115 2.6×	36	282
Julie‐Ann Jordan United Kingdom	12	153 1.4×	27 0.4×	30 0.5×	121 2.3×	131 3.0×	29	406
Sammy F. Ahmed United States	12	240 2.2×	142 1.9×	41 0.7×	154 3.0×	149 3.4×	20	504
Elena Savina United States	11	153 1.4×	23 0.3×	59 1.0×	134 2.6×	92 2.1×	33	329

Countries citing papers authored by Emilie J. Prast

Since Specialization

Citations

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

Fields of papers citing papers by Emilie J. Prast

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emilie J. Prast. 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 Emilie J. Prast. The network helps show where Emilie J. Prast may publish in the future.

Co-authorship network of co-authors of Emilie J. Prast

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

All Works

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7 of 7 papers shown

Prast, Emilie J., Marian Hickendorff, & Eva van de Weijer‐Bergsma. (2025). High-achieving students in mathematics: A heterogeneous group. Learning and Individual Differences. 119. 102629–102629.

Prast, Emilie J., Kim Stroet, Arnout Koornneef, & Tom F. Wilderjans. (2023). What do students think about differentiation and within-class achievement grouping?. Frontline Learning Research. 11(1). 57–93. 2 indexed citations

Ven, Sanne H.G. van der, Emilie J. Prast, & Eva van de Weijer‐Bergsma. (2023). Towards an Integrative Model of Math Cognition: Interactions between Working Memory and Emotions in Explaining Children’s Math Performance. Journal of Intelligence. 11(7). 136–136. 2 indexed citations

Prast, Emilie J., Eva van de Weijer‐Bergsma, Milica Miočević, Evelyn H. Kroesbergen, & Johannes E. H. Van Luit. (2018). Relations between mathematics achievement and motivation in students of diverse achievement levels. Contemporary Educational Psychology. 55. 84–96. 47 indexed citations

Prast, Emilie J., Eva van de Weijer‐Bergsma, Evelyn H. Kroesbergen, & Johannes E. H. Van Luit. (2018). Differentiated instruction in primary mathematics: Effects of teacher professional development on student achievement. Learning and Instruction. 54. 22–34. 79 indexed citations

Weijer‐Bergsma, Eva van de, Evelyn H. Kroesbergen, Emilie J. Prast, & Johannes E. H. Van Luit. (2014). Validity and reliability of an online visual–spatial working memory task for self-reliant administration in school-aged children. Behavior Research Methods. 47(3). 708–719. 36 indexed citations

Allgaier, Antje‐Kathrin, Kathrin Pietsch, Barbara Frühe, et al.. (2012). Depression in pediatric care: is the WHO-Five Well-Being Index a valid screening instrument for children and adolescents?. General Hospital Psychiatry. 34(3). 234–241. 100 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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