David Goretzko

24 papers receiving 670 citations

Hit Papers

Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis 2023 · 126 citations
1260+2+4Years since publication100200300

Peers

David Goretzko
Comparison fields: 5 of 137
  • Computer Science Applications 40
  • Health Informatics 10
  • Management Science and Operations Research 90
  • Business and International Management 13
  • Experimental and Cognitive Psychology 84
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David Aguado Spain
Lifang Deng China
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E. Lea Witta United States
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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-authors

The 25 scholars most cited alongside David Goretzko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Goretzko Line = papers co-authored together David Goretzko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exploratory factor analysis: Current use, methodological developments and recommendations for good practice
Hit paper breakdown →
2019337
2
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis
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2023126
3 202149
4 202040
5 202220
6 201920
7 202116
8 202116
9 202113
10 20239
11 20238
12 20228
13 20246
14 20245
15 20234
16 20234
17 20232
18 20192
19 20202
20 20231

About David Goretzko

David Goretzko is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Experimental and Cognitive Psychology, Artificial Intelligence and Statistics and Probability, having authored 27 papers that have together received 692 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (12 papers), Advanced Statistical Modeling Techniques (9 papers), Mental Health Research Topics (7 papers), Forecasting Techniques and Applications (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Sensory Analysis and Statistical Methods (2 papers), Cognitive Abilities and Testing (2 papers) and Corporate Governance and Management (1 paper). The work is most often cited by research in Computer Science Applications (40 citations), Health Informatics (10 citations), Management Science and Operations Research (90 citations), Business and International Management (13 citations) and Experimental and Cognitive Psychology (84 citations). David Goretzko has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Markus Bühner, Philipp Sterner, Christian Heumann, Clemens Stachl, Alfred Lindl, Bernd Bischl, John Ruscio, Florian Pargent, Elisabeth Kraus and Stefan Coors. Their work appears in journals such as Structural Equation Modeling A Multidisciplinary Journal, European Journal of Psychological Assessment, Psychological Methods, Educational and Psychological Measurement and Anatomical Sciences Education.

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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