Samuel Greiff

10.7k total citations · 8 hit papers
289 papers, 6.7k citations indexed

About

Samuel Greiff is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Samuel Greiff has authored 289 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Experimental and Cognitive Psychology, 99 papers in Developmental and Educational Psychology and 72 papers in Artificial Intelligence. Recurrent topics in Samuel Greiff's work include Cognitive Abilities and Testing (62 papers), Cognitive Science and Mapping (56 papers) and Innovative Teaching and Learning Methods (47 papers). Samuel Greiff is often cited by papers focused on Cognitive Abilities and Testing (62 papers), Cognitive Science and Mapping (56 papers) and Innovative Teaching and Learning Methods (47 papers). Samuel Greiff collaborates with scholars based in Luxembourg, Germany and United States. Samuel Greiff's co-authors include Elouise Botes, Jean‐Marc Dewaele, Sascha Wüstenberg, Dragoş Iliescu, Matthias Stadler, Mark S. Allen, Christoph Niepel, Joachim Funke, Marjolein Fokkema and Romain Martin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Review.

In The Last Decade

Samuel Greiff

269 papers receiving 6.5k citations

Hit Papers

Single Item Measures in P... 2018 2026 2020 2023 2022 2018 2020 2021 2022 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Samuel Greiff 2.1k 1.9k 1.7k 1.4k 1.1k 289 6.7k
Detlev Leutner 3.0k 1.5× 2.9k 1.5× 3.4k 2.1× 1.3k 0.9× 731 0.6× 168 7.9k
Jan L. Plass 3.9k 1.9× 2.8k 1.5× 2.3k 1.4× 873 0.6× 956 0.8× 106 7.6k
Richard E. Snow 2.0k 1.0× 1.5k 0.8× 2.0k 1.2× 810 0.6× 539 0.5× 120 5.2k
Ming Ming Chiu 2.1k 1.0× 842 0.4× 4.7k 2.9× 1.8k 1.3× 227 0.2× 228 8.0k
Gregory Schraw 7.2k 3.5× 2.8k 1.5× 6.3k 3.8× 1.4k 1.0× 763 0.7× 111 11.8k
Philip H. Winne 7.0k 3.4× 1.6k 0.8× 6.5k 3.9× 1.3k 0.9× 1.1k 1.0× 166 11.3k
Avraham N. Kluger 1.0k 0.5× 840 0.4× 1.8k 1.1× 2.8k 1.9× 263 0.2× 77 8.8k
Patricia A. Alexander 6.2k 3.0× 2.1k 1.1× 5.9k 3.6× 1.2k 0.8× 462 0.4× 178 10.4k
Luke Plonsky 2.8k 1.3× 1.1k 0.6× 983 0.6× 1.0k 0.7× 1.0k 0.9× 99 6.8k
Filip Dochy 3.2k 1.5× 911 0.5× 10.1k 6.1× 2.1k 1.5× 258 0.2× 201 14.3k

Countries citing papers authored by Samuel Greiff

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Greiff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Greiff

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Greiff. A scholar is included among the top collaborators of Samuel Greiff 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 Samuel Greiff. Samuel Greiff 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.
Bauer, Elisabeth, Michael Sailer, Frank Niklas, et al.. (2025). AI‐Based Adaptive Feedback in Simulations for Teacher Education: An Experimental Replication in the Field. Journal of Computer Assisted Learning. 41(1). 7 indexed citations
2.
Iliescu, Dragoş, Samuel Greiff, & Andrei Rusu. (2024). Systematic Reviews and Meta-Analyses in Psychological Assessment. European Journal of Psychological Assessment. 40(5). 341–342.
3.
Greiff, Samuel, et al.. (2024). Mental rotation is supported by block play in boys and girls. Journal of Applied Developmental Psychology. 91. 101630–101630. 2 indexed citations
4.
Krieger, Florian, et al.. (2024). Revisiting the relationship between team members’ personality and their team’s performance: A meta-analysis. Journal of Research in Personality. 112. 104526–104526.
5.
Rausch, Andreas, Viola Deutscher, Samuel Greiff, et al.. (2024). Designing an International Large-Scale Assessment of Professional Competencies and Employability Skills: Emerging Avenues and Challenges of OECD’s PISA-VET. Vocations and Learning. 17(3). 393–432. 2 indexed citations
6.
Guo, Jiesi, et al.. (2024). Harnessing Artificial Intelligence in Generative Content for enhancing motivation in learning. Learning and Individual Differences. 116. 102547–102547. 6 indexed citations
7.
Allen, Mark S., Dragoş Iliescu, & Samuel Greiff. (2023). Direct Replication in Psychological Assessment Research. European Journal of Psychological Assessment. 39(1). 1–4. 3 indexed citations
8.
Møller, Jens, et al.. (2023). Morningness and state academic self-concept in students: Do early birds experience themselves as more competent in daily school life?. Contemporary Educational Psychology. 74. 102199–102199.
9.
Niepel, Christoph, et al.. (2023). The big-fish-little-pond effect on academic self-concept and interest in first- and third-grade students. Learning and Instruction. 87. 101802–101802. 3 indexed citations
10.
López‐Pernas, Sonsoles, et al.. (2023). Prospects in the field of learning and individual differences: Examining the past to forecast the future using bibliometrics. Learning and Individual Differences. 109. 102399–102399. 8 indexed citations
11.
12.
Greiff, Samuel, et al.. (2020). Exploring behavioural patterns during complex problem‐solving. Journal of Computer Assisted Learning. 36(6). 933–956. 35 indexed citations
13.
Naumann, Johannes, et al.. (2018). Interactive effects of comprehension and problem solving skills on digital reading performance and navigation. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
14.
Graesser, Arthur C., Zhiqiang Cai, Xiangen Hu, et al.. (2017). Assessment of collaborative problem solving.. Open Repository and Bibliography (University of Luxembourg). 4 indexed citations
15.
Baker, Ryan S., et al.. (2017). Methods for assessing inquiry. Machine-learned and theoretical.. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
16.
Niepel, Christoph, Samuel Greiff, Ronny Scherer, & Romain Martin. (2016). Using behavioral data from computer-generated log files to understand complex problem solving performance in a computer-based assessment. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
17.
Wüstenberg, Sascha, Jonas Müller, André Kretzschmar, Joachim Funke, & Samuel Greiff. (2013). Determinants of cross-national gender differences in complex problem solving competency. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
18.
Molnár, György, Samuel Greiff, & Benő Csapó. (2013). Relations between problem solving, intelligence, and socio-economic background.. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
19.
Wüstenberg, Sascha, et al.. (2012). Measurement invariance of Complex Problem Solving ability measured by MicroDYN. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
20.
Greiff, Samuel & Joachim Funke. (2009). On the way to competence levels in dynamic microsystems: The MicroDYN Approach. Open Repository and Bibliography (University of Luxembourg). 2 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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