David Goretzko

1.4k total citations · 2 hit papers
27 papers, 692 citations indexed

About

David Goretzko is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Experimental and Cognitive Psychology. According to data from OpenAlex, David Goretzko has authored 27 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 9 papers in Computer Networks and Communications and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in David Goretzko's work include Psychometric Methodologies and Testing (12 papers), Advanced Statistical Modeling Techniques (9 papers) and Mental Health Research Topics (7 papers). David Goretzko is often cited by papers focused on Psychometric Methodologies and Testing (12 papers), Advanced Statistical Modeling Techniques (9 papers) and Mental Health Research Topics (7 papers). David Goretzko collaborates with scholars based in Germany, Netherlands and United States. David Goretzko's co-authors include Markus Bühner, Philipp Sterner, Christian Heumann, Stefan Coors, John Ruscio, Elisabeth Kraus, Clemens Stachl, Alfred Lindl, Stefan Krauß and Florian Pargent and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

David Goretzko

24 papers receiving 670 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploratory factor analysis: Current use, methodological developments and recommendations for good practice

2019 337 citations David Goretzko, Markus Bühner et al. profile →
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis

2023 126 citations David Goretzko, Philipp Sterner et al. Educational and Psychological Measurement profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Goretzko Germany	10	113	100	99	90	84	27	692
Keke Lai United States	12	170 1.5×	167 1.7×	122 1.2×	121 1.3×	105 1.3×	25	812
Fan Yang‐Wallentin Sweden	13	102 0.9×	92 0.9×	142 1.4×	135 1.5×	77 0.9×	20	865
Milica Miočević United States	13	137 1.2×	157 1.6×	81 0.8×	102 1.1×	137 1.6×	34	878
Phill Gagné United States	10	153 1.4×	135 1.4×	115 1.2×	97 1.1×	103 1.2×	20	775
Mariëlle Zondervan‐Zwijnenburg Netherlands	13	143 1.3×	177 1.8×	94 0.9×	109 1.2×	149 1.8×	23	796
Taehun Lee United States	4	166 1.5×	212 2.1×	100 1.0×	71 0.8×	102 1.2×	7	752
Jorge N. Tendeiro Netherlands	18	118 1.0×	171 1.7×	145 1.5×	235 2.6×	132 1.6×	63	978
Lifang Deng China	10	130 1.2×	125 1.3×	90 0.9×	66 0.7×	122 1.5×	18	638
Reinhold Hatzinger Austria	13	92 0.8×	60 0.6×	88 0.9×	175 1.9×	111 1.3×	38	933
David Aguado Spain	15	105 0.9×	99 1.0×	76 0.8×	68 0.8×	69 0.8×	58	718

Countries citing papers authored by David Goretzko

Since Specialization

Citations

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

Fields of papers citing papers by David Goretzko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Goretzko

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

All Works

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20 of 20 papers shown

Brooks, William S., et al.. (2025). Measuring health sciences students' attitudes toward persons with disabilities: Is one scale better than another?. Anatomical Sciences Education. 18(8). 774–785.

Goretzko, David, et al.. (2025). Detecting Model Misfit in Structural Equation Modeling with Machine Learning—A Proof of Concept. Multivariate Behavioral Research. 61(1). 1–24. 1 indexed citations

Goretzko, David, et al.. (2025). Predicting Measurement Model Misfit With Machine Learning While Accounting for Nuisance Parameters – An Illustration. SHILAP Revista de lepidopterología. 6. 187–198.

Goretzko, David. (2025). How many factors to retain in exploratory factor analysis? A critical overview of factor retention methods.. Psychological Methods. 1 indexed citations

Sterner, Philipp, Florian Pargent, Dominik Deffner, & David Goretzko. (2024). A Causal Framework for the Comparability of Latent Variables. Structural Equation Modeling A Multidisciplinary Journal. 31(5). 747–758. 6 indexed citations

Sterner, Philipp, et al.. (2024). Das Konfidenz- / Signifikanzniveau impliziert ein bestimmtes Kostenverhältnis zwischen Fehler 1. Art und Fehler 2. Art. Diagnostica. 70(3). 126–138. 1 indexed citations

Sterner, Philipp, Kim De Roover, & David Goretzko. (2024). New Developments in Measurement Invariance Testing: An Overview and Comparison of EFA-Based Approaches. Structural Equation Modeling A Multidisciplinary Journal. 32(1). 117–135. 5 indexed citations

Goretzko, David & John Ruscio. (2023). The comparison data forest: A new comparison data approach to determine the number of factors in exploratory factor analysis. Behavior Research Methods. 56(3). 1838–1851. 9 indexed citations

Pargent, Florian, David Goretzko, & Timo von Oertzen. (2023). Florian Pargent, David Goretzko and Timo von Oertzen's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(4). 1087–1088. 1 indexed citations

10.

Sterner, Philipp, David Goretzko, & Florian Pargent. (2023). Everything has its price: Foundations of cost-sensitive machine learning and its application in psychology.. Psychological Methods. 30(1). 112–127. 8 indexed citations

11.

Goretzko, David. (2023). Regularized Exploratory Factor Analysis as an Alternative to Factor Rotation. European Journal of Psychological Assessment. 41(4). 264–276. 2 indexed citations

12.

Hamann, Johannes, Anne Lang, Lina Riedl, et al.. (2023). Supporting return to work after psychiatric hospitalization—A cluster randomized study (RETURN-study). European Psychiatry. 66(1). e9–e9. 4 indexed citations

13.

Goretzko, David, et al.. (2023). Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis. Educational and Psychological Measurement. 84(1). 123–144. 126 indexed citations breakdown →

14.

Linden, Michael, et al.. (2022). Prevalence and pattern of acute and chronic multimorbidity across all body systems and age groups in primary health care. Scientific Reports. 12(1). 272–272. 8 indexed citations

15.

Goretzko, David & Markus Bühner. (2022). Factor Retention Using Machine Learning With Ordinal Data. Applied Psychological Measurement. 46(5). 406–421. 20 indexed citations

16.

Hilbert, Sven, Stefan Coors, Elisabeth Kraus, et al.. (2021). Machine learning for the educational sciences. Review of Education. 9(3). 49 indexed citations

17.

Goretzko, David. (2021). Factor Retention in Exploratory Factor Analysis With Missing Data. Educational and Psychological Measurement. 82(3). 444–464. 16 indexed citations

18.

Goretzko, David & Markus Bühner. (2020). One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis.. Psychological Methods. 25(6). 776–786. 40 indexed citations

19.

Goretzko, David. (2020). Factor retention revised: analyzing current practice and developing new methods. Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München). 2 indexed citations

20.

Goretzko, David, et al.. (2019). Not Very Powerful. European Journal of Psychological Assessment. 36(4). 563–572. 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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