Gabriel Nagy

5.8k total citations · 2 hit papers
90 papers, 3.7k citations indexed

About

Gabriel Nagy is a scholar working on Sociology and Political Science, Experimental and Cognitive Psychology and Education. According to data from OpenAlex, Gabriel Nagy has authored 90 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Sociology and Political Science, 37 papers in Experimental and Cognitive Psychology and 37 papers in Education. Recurrent topics in Gabriel Nagy's work include Sociology and Education Studies (20 papers), Education, Achievement, and Giftedness (19 papers) and Cognitive Abilities and Testing (14 papers). Gabriel Nagy is often cited by papers focused on Sociology and Education Studies (20 papers), Education, Achievement, and Giftedness (19 papers) and Cognitive Abilities and Testing (14 papers). Gabriel Nagy collaborates with scholars based in Germany, United States and United Kingdom. Gabriel Nagy's co-authors include Ulrich Trautwein, Oliver Lüdtke, Jürgen Baumert, Martin Brunner, Oliver Wilhelm, Olaf Köller, Benjamin Nagengast, Herbert W. Marsh, Jan Retelsdorf and Brent W. Roberts and has published in prestigious journals such as Journal of Personality and Social Psychology, PLoS ONE and Child Development.

In The Last Decade

Gabriel Nagy

85 papers receiving 3.5k citations

Hit Papers

A Tutorial on Hierarchically Structured Constructs 2011 2026 2016 2021 2011 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Nagy Germany 27 1.6k 1.4k 1.3k 805 628 90 3.7k
Jiesi Guo Australia 30 1.5k 0.9× 1.7k 1.2× 1.6k 1.2× 864 1.1× 717 1.1× 80 4.1k
Sara J. Finney United States 27 1.0k 0.6× 1.6k 1.2× 1.1k 0.8× 867 1.1× 609 1.0× 80 3.8k
Franzis Preckel Germany 40 2.9k 1.8× 1.8k 1.3× 1.9k 1.4× 715 0.9× 417 0.7× 153 5.0k
A. Katrin Arens Germany 25 1.2k 0.7× 1.3k 1.0× 968 0.7× 521 0.6× 268 0.4× 56 2.7k
Alexander Seeshing Yeung Australia 37 2.3k 1.4× 2.1k 1.5× 2.5k 1.9× 552 0.7× 544 0.9× 175 5.1k
Theresa Dicke Australia 23 755 0.5× 1.2k 0.9× 1.3k 1.0× 532 0.7× 401 0.6× 64 3.0k
Oliver Dickhäuser Germany 35 1.8k 1.1× 2.0k 1.5× 1.4k 1.1× 1.2k 1.5× 533 0.8× 146 4.3k
Carolyn MacCann Australia 35 1.1k 0.7× 2.4k 1.8× 916 0.7× 1.8k 2.2× 562 0.9× 108 4.5k
Chiungjung Huang Taiwan 20 1.0k 0.6× 1.1k 0.8× 1.0k 0.8× 606 0.8× 988 1.6× 31 2.9k
John Tisak United States 25 724 0.4× 962 0.7× 677 0.5× 1.1k 1.4× 585 0.9× 55 3.4k

Countries citing papers authored by Gabriel Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Nagy. A scholar is included among the top collaborators of Gabriel Nagy 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 Gabriel Nagy. Gabriel Nagy 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.
Ulitzsch, Esther, Wolfgang Viechtbauer, Oliver Lüdtke, et al.. (2025). Investigating the effect of experience sampling study design on careless and insufficient effort responding identified with a screen-time-based mixture model.. Psychological Assessment. 37(8). 347–359.
2.
Nagy, Gabriel, et al.. (2025). Individuals’ Interests in Vocational Environments with Activity Opportunities That Are Inconsistent with Holland’s Calculus Hypothesis. Journal of Career Development. 52(4). 427–448. 1 indexed citations
3.
Baumert, Jürgen, Michael Becker, Malte Jansen, Gabriel Nagy, & Olaf Köller. (2025). Development of life satisfaction in immigrant youth: The role of transition decisions and cultural identification.. Journal of Personality and Social Psychology. 129(3). 576–601.
4.
Wille, Bart, et al.. (2025). Linking personality traits to vocational interest profiles via the circumplex: Research synthesis and new applications. Journal of Vocational Behavior. 163. 104191–104191.
5.
Retelsdorf, Jan, et al.. (2024). Correlated change in habitual and situational reading motivation. European Journal of Psychology of Education. 39(3). 2827–2847.
6.
Nagy, Gabriel, et al.. (2023). We've come full circle: The universality of People-Things and Data-Ideas as core dimensions of vocational interests. Journal of Vocational Behavior. 145. 103897–103897. 3 indexed citations
7.
Nagy, Gabriel, et al.. (2022). Die Bedeutung der Interessenkongruenz für die Schulzufriedenheit in der beruflichen Oberstufe. Zeitschrift für Erziehungswissenschaft. 25(3). 659–686. 3 indexed citations
8.
Nagy, Gabriel, Esther Ulitzsch, & Marlit Annalena Lindner. (2022). The role of rapid guessing and test‐taking persistence in modelling test‐taking engagement. Journal of Computer Assisted Learning. 39(3). 751–766. 21 indexed citations
9.
Nagy, Gabriel, et al.. (2021). Stability and change in vocational interest profiles and interest congruence over the course of vocational education and training. European Journal of Personality. 35(4). 534–556. 16 indexed citations
10.
Nagy, Gabriel & Esther Ulitzsch. (2021). A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT Models. Educational and Psychological Measurement. 82(5). 845–879. 29 indexed citations
11.
Nagy, Gabriel, et al.. (2019). Integrating covariates into circumplex structures: an extension procedure for Browne’s circular stochastic process model. Multivariate Behavioral Research. 54(3). 404–428. 10 indexed citations
12.
Nagy, Gabriel, et al.. (2019). Evaluation of the dimensions of the spherical model of vocational interests in the long and short version of the Personal Globe Inventory. Journal of Vocational Behavior. 112. 1–16. 5 indexed citations
13.
Lindner, Marlit Annalena, Oliver Lüdtke, & Gabriel Nagy. (2019). The Onset of Rapid-Guessing Behavior Over the Course of Testing Time: A Matter of Motivation and Cognitive Resources. Frontiers in Psychology. 10. 1533–1533. 35 indexed citations
14.
Nagy, Gabriel, Benjamin Nagengast, Andreas Frey, Michael Becker, & Norman Rose. (2018). A multilevel study of position effects in PISA achievement tests: student- and school-level predictors in the German tracked school system. Assessment in Education Principles Policy and Practice. 26(4). 422–443. 19 indexed citations
15.
Köller, Olaf, Jan Retelsdorf, & Gabriel Nagy. (2017). Non scholae, sed vitae discimus: Schulische Bildung als Kernressource für eine erfolgreiche berufliche Bildung. Unterrichtswissenschaft. 1 indexed citations
16.
Köller, Olaf, Jan Retelsdorf, & Gabriel Nagy. (2017). Lernausgangslagen Auszubildender in Berufen mit hohen mathematisch-naturwissenschaftlichen Anforderungen. Unterrichtswissenschaft. 2 indexed citations
17.
Nagy, Gabriel, Martin Brunner, Oliver Lüdtke, & Samuel Greiff. (2016). Extension Procedures for Confirmatory Factor Analysis. The Journal of Experimental Education. 85(4). 574–596. 12 indexed citations
18.
Greiff, Samuel, Katarina Krkovic, & Gabriel Nagy. (2014). The systematic variation of task characteristics facilitates the understanding of task difficulty: A cognitive diagnostic modeling approach to complex problem solving. Open Repository and Bibliography (University of Luxembourg). 56(1). 83. 11 indexed citations
19.
Lüdtke, Oliver, Brent W. Roberts, Ulrich Trautwein, & Gabriel Nagy. (2011). A random walk down university avenue: Life paths, life events, and personality trait change at the transition to university life.. Journal of Personality and Social Psychology. 101(3). 620–637. 330 indexed citations
20.
Scholz, Urte, Gabriel Nagy, Wiebke Göhner, Aleksandra Łuszczyńska, & Matthias Kliegel. (2009). Changes in self-regulatory cognitions as predictors of changes in smoking and nutrition behaviour. Psychology and Health. 24(5). 545–561. 108 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026