E.G. Harskamp

1.2k total citations
33 papers, 864 citations indexed

About

E.G. Harskamp is a scholar working on Education, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, E.G. Harskamp has authored 33 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Education, 18 papers in Developmental and Educational Psychology and 8 papers in Statistics and Probability. Recurrent topics in E.G. Harskamp's work include Innovative Teaching and Learning Methods (18 papers), Science Education and Pedagogy (8 papers) and Visual and Cognitive Learning Processes (6 papers). E.G. Harskamp is often cited by papers focused on Innovative Teaching and Learning Methods (18 papers), Science Education and Pedagogy (8 papers) and Visual and Cognitive Learning Processes (6 papers). E.G. Harskamp collaborates with scholars based in Netherlands, United States and Slovakia. E.G. Harskamp's co-authors include Cor Suhre, Ning Ding, Hendrik Jan Pol, Ellen Jansen, Richard E. Mayer, Roel Bosker, Martin Goedhart, Greetje van der Werf, Rink Hoekstra and Daniel Henry and has published in prestigious journals such as Computers in Human Behavior, Computers & Education and Learning and Instruction.

In The Last Decade

E.G. Harskamp

29 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.G. Harskamp Netherlands 17 586 421 130 96 87 33 864
Robert D. Sherwood United States 15 654 1.1× 421 1.0× 145 1.1× 77 0.8× 41 0.5× 37 931
Po Yuk Ko Hong Kong 12 721 1.2× 357 0.8× 56 0.4× 77 0.8× 77 0.9× 28 1.0k
Richard P. Durán United States 17 540 0.9× 343 0.8× 121 0.9× 39 0.4× 89 1.0× 45 1.1k
Bernadette van Hout-Wolters Netherlands 12 500 0.9× 404 1.0× 115 0.9× 86 0.9× 32 0.4× 20 778
Ali Eryılmaz Türkiye 16 1.4k 2.4× 389 0.9× 102 0.8× 51 0.5× 41 0.5× 54 1.6k
Sarah Hofer Germany 13 463 0.8× 180 0.4× 116 0.9× 121 1.3× 52 0.6× 29 802
Carla Meister United States 7 997 1.7× 1.1k 2.5× 118 0.9× 66 0.7× 154 1.8× 8 1.5k
Mercè García-Milà Spain 13 841 1.4× 778 1.8× 106 0.8× 59 0.6× 82 0.9× 38 1.2k
Effandi Zakaria Malaysia 19 931 1.6× 235 0.6× 115 0.9× 44 0.5× 152 1.7× 85 1.2k
Torulf Palm Sweden 15 843 1.4× 206 0.5× 92 0.7× 57 0.6× 233 2.7× 41 1000

Countries citing papers authored by E.G. Harskamp

Since Specialization
Citations

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

Fields of papers citing papers by E.G. Harskamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.G. Harskamp. 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 E.G. Harskamp. The network helps show where E.G. Harskamp may publish in the future.

Co-authorship network of co-authors of E.G. Harskamp

This figure shows the co-authorship network connecting the top 25 collaborators of E.G. Harskamp. A scholar is included among the top collaborators of E.G. Harskamp 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 E.G. Harskamp. E.G. Harskamp 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.
Hoekstra, Rink, et al.. (2017). Statistical Reasoning Ability, Self-Efficacy, and Value Beliefs in a Reform Based University Statistics Course. Electronic Journal of Research in Educational Psychology. 9(23). 49–72. 9 indexed citations
2.
Harskamp, E.G., et al.. (2017). Video instruction with explanation to another person for intellectually disabled students. Journal of Computer Assisted Learning. 33(6). 606–620.
3.
Harskamp, E.G., et al.. (2016). Strategy Instruction versus Direct Instruction in the Education of Young Adults with Intellectual Disabilities. ˜The œJournal of classroom interaction. 51(2). 20–35. 3 indexed citations
4.
Harskamp, E.G., et al.. (2016). Developing classroom formative assessment in dutch primary mathematics education. Educational Studies. 42(4). 305–322. 11 indexed citations
5.
Harskamp, E.G., et al.. (2016). Procedural versus content‐related hints for word problem solving: an exploratory study. Journal of Computer Assisted Learning. 32(5). 481–493. 5 indexed citations
6.
Harskamp, E.G., et al.. (2012). Towards efficient measurement of metacognition in mathematical problem solving. Metacognition and Learning. 7(2). 133–149. 109 indexed citations
7.
Hoekstra, Ruurdtje, et al.. (2011). Capacidad de razonamiento estadístico, auto-eficacia y creencias de valores en un curso universitario de estadística. Electronic Journal of Research in Educational Psychology. 9(23). 49–72. 1 indexed citations
8.
Harskamp, E.G., et al.. (2011). A meta-analysis of the effects of instructional interventions on students' mathematics achievement. University of Groningen research database (University of Groningen / Centre for Information Technology). 9 indexed citations
9.
Ding, Ning, Roel Bosker, & E.G. Harskamp. (2010). Exploring gender and gender pairing in the knowledge elaboration processes of students using computer-supported collaborative learning. Computers & Education. 56(2). 325–336. 53 indexed citations
10.
Pol, Hendrik Jan, E.G. Harskamp, Cor Suhre, & Martin Goedhart. (2009). How indirect supportive digital help during and after solving physics problems can improve problem-solving abilities. Computers & Education. 53(1). 34–50. 31 indexed citations
11.
Pol, Hendrik Jan, E.G. Harskamp, Cor Suhre, & Martin Goedhart. (2008). The Effect of Hints and Model Answers in a Student-Controlled Problem-Solving Program for Secondary Physics Education. Journal of Science Education and Technology. 17(4). 410–425. 27 indexed citations
12.
Harskamp, E.G. & Ning Ding. (2006). Structured Collaboration versus Individual Learning in Solving Physics Problems. International Journal of Science Education. 28(14). 1669–1688. 48 indexed citations
13.
Suhre, Cor, Ellen Jansen, & E.G. Harskamp. (2006). Impact of degree program satisfaction on the persistence of college students. Higher Education. 54(2). 207–226. 107 indexed citations
14.
Ding, Ning & E.G. Harskamp. (2006). How Partner Gender Influences Female Students’ Problem Solving in Physics Education. Journal of Science Education and Technology. 15(5-6). 331–343. 27 indexed citations
15.
Harskamp, E.G. & Cor Suhre. (2006). Schoenfeld’s problem solving theory in a student controlled learning environment. Computers & Education. 49(3). 822–839. 45 indexed citations
16.
Pol, Hendrik Jan, E.G. Harskamp, & Cor Suhre. (2005). Solving physics problems with the help of computer‐assisted instruction. International Journal of Science Education. 27(4). 451–469. 46 indexed citations
17.
Suhre, Cor & E.G. Harskamp. (2001). Teaching planning and reflection in nurse education. Nurse Education Today. 21(5). 373–381. 7 indexed citations
18.
Harskamp, E.G., et al.. (2000). The effect of the graphic calculator on students' solution approaches: a secondary analysis. Journal on Mathematics Education. 8. 27–39. 16 indexed citations
19.
Harskamp, E.G., et al.. (1998). The Graphics Calculator in Mathematics Education: An Experiment in the Netherlands.. Journal on Mathematics Education. 6. 13–32. 9 indexed citations
20.
Harskamp, E.G. & Cor Suhre. (1994). Assessing the Opportunity to Learn Mathematics. Evaluation Review. 18(5). 627–642. 4 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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