Natalja Menold

66 papers receiving 897 citations

Natalja Menold's Hit Papers

Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives 2022 · 130 citations
1300+1+2Years since publication4080120

Peers

Natalja Menold
Comparison fields: 5 of 122
  • Applied Psychology 69
  • Statistics and Probability 74
  • Sociology and Political Science 298
  • Clinical Psychology 119
  • Social Psychology 117
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Holly A. Derry United States
Alan D. Mead United States
Timo Lenzner Germany
Tobias Gummer Germany
Lindsay C. Page United States
Florian Keusch Germany
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Countries citing papers authored by Natalja Menold

Since Specialization
Citations

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

Fields of papers citing papers by Natalja Menold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Natalja Menold, 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 Natalja Menold Line = papers co-authored together Natalja Menold links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016179
2
Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives
Hit paper breakdown →
2022130
3 201949
4 201337
5 202133
6 202030
7 201429
8 201426
9 201526
10 200426
11 201622
12 201720
13 200320
14 201620
15 201117
16 201316
17 200915
18 201914
19 201513
20 200512

About Natalja Menold

Natalja Menold is a scholar working on Sociology and Political Science, Management Science and Operations Research, Statistics and Probability, Social Psychology and Economics and Econometrics, having authored 74 papers that have together received 942 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (23 papers), Psychometric Methodologies and Testing (13 papers), Social and Intergroup Psychology (12 papers), Survey Sampling and Estimation Techniques (9 papers), Economic and Financial Impacts of Cancer (5 papers), Behavioral Health and Interventions (4 papers), Business Process Modeling and Analysis (4 papers) and Cultural Differences and Values (4 papers). The work is most often cited by research in Applied Psychology (69 citations), Statistics and Probability (74 citations), Sociology and Political Science (298 citations), Clinical Psychology (119 citations) and Social Psychology (117 citations). Natalja Menold has collaborated with scholars based in Germany, United States and Luxembourg. Frequent co-authors include Anja Tausch, Christoph J. Kemper, Tenko Raykov, Thomas Herrmann, George A. Marcoulides, Maksim Rudnev, Kai‐Uwe Loser, Tihomir Asparouhov, Heinz Leitgöb and Rens van de Schoot. Their work appears in journals such as Educational and Psychological Measurement, Field Methods, Sociological Methods & Research, Structural Equation Modeling A Multidisciplinary Journal and Methodology.

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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