Kim De Roover

1.6k total citations · 1 hit paper
41 papers, 867 citations indexed

About

Kim De Roover is a scholar working on Food Science, Social Psychology and Management Science and Operations Research. According to data from OpenAlex, Kim De Roover has authored 41 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Food Science, 9 papers in Social Psychology and 9 papers in Management Science and Operations Research. Recurrent topics in Kim De Roover's work include Sensory Analysis and Statistical Methods (17 papers), Mental Health Research Topics (8 papers) and Psychometric Methodologies and Testing (7 papers). Kim De Roover is often cited by papers focused on Sensory Analysis and Statistical Methods (17 papers), Mental Health Research Topics (8 papers) and Psychometric Methodologies and Testing (7 papers). Kim De Roover collaborates with scholars based in Netherlands, Belgium and United States. Kim De Roover's co-authors include Eva Ceulemans, Marieke E. Timmerman, Jeroen K. Vermunt, Peter Kuppens, Brock Bastian, Ed Diener, Patrick Onghena, Dick P. H. Barelds, Boele De Raad and Karla Van Leeuwen and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Psychology and Aging.

In The Last Decade

Kim De Roover

38 papers receiving 847 citations

Hit Papers

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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.

Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives

2022 115 citations Kim De Roover et al. profile →

Peers

Countries citing papers authored by Kim De Roover

Since Specialization

Citations

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

Fields of papers citing papers by Kim De Roover

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim De Roover. 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 Kim De Roover. The network helps show where Kim De Roover may publish in the future.

Co-authorship network of co-authors of Kim De Roover

This figure shows the co-authorship network connecting the top 25 collaborators of Kim De Roover. A scholar is included among the top collaborators of Kim De Roover 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 Kim De Roover. Kim De Roover 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

#	Work	Indexed citations
1	Selecting the number of clusters in Mixture Multigroup Structural Equation Modeling 2025 ·Methodology ·(unknown), Jeroen K. Vermunt, Yves Rosseel, Kim De Roover	1
2	Mixture multigroup structural equation modeling: A novel method for comparing structural relations across many groups. 2024 ·Psychological Methods ·(unknown), Yves Rosseel, Jeroen K. Vermunt, Kim De Roover	4
3	New Developments in Measurement Invariance Testing: An Overview and Comparison of EFA-Based Approaches 2024 ·Structural Equation Modeling A Multidisciplinary Journal ·Philipp Sterner, Kim De Roover, David Goretzko	5
4	The dire disregard of measurement invariance testing in psychological science. 2023 ·Psychological Methods ·Esther Maassen, (unknown), Marcel A. L. M. van Assen, Michèle B. Nuijten, Kim De Roover, Jelte M. Wicherts	45
5	Awareness Is Bliss: How Acquiescence Affects Exploratory Factor Analysis 2022 ·Educational and Psychological Measurement ·(unknown), Jesper Tijmstra, Jeroen K. Vermunt, Kim De Roover	3
6	Simultaneous clustering and variable selection: A novel algorithm and model selection procedure 2022 ·Behavior Research Methods ·Shuai Yuan, Kim De Roover, Katrijn Van Deun	2
7	Finding Clusters of Groups with Measurement Invariance: Unraveling Intercept Non-Invariance with Mixture Multigroup Factor Analysis 2021 ·Structural Equation Modeling A Multidisciplinary Journal ·Kim De Roover	20
8	Scale length does matter: Recommendations for measurement invariance testing with categorical factor analysis and item response theory approaches 2021 ·Behavior Research Methods ·(unknown), Kim De Roover, Jeroen K. Vermunt, Jesper Tijmstra	17
9	Latent Markov Latent Trait Analysis for Exploring Measurement Model Changes in Intensive Longitudinal Data 2020 ·Evaluation & the Health Professions ·(unknown), Jeroen K. Vermunt, Loes Keijsers, Kim De Roover	11
10	Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups. 2020 ·Psychological Methods ·Kim De Roover, Jeroen K. Vermunt, Eva Ceulemans	18
11	Detecting which variables alter component interpretation across multiple groups: A resampling-based method 2019 ·Behavior Research Methods ·(unknown), Kim De Roover, Francis Tuerlinckx, Eva Ceulemans	4
12	Older adults’ affective experiences across 100 days are less variable and less complex than younger adults’. 2015 ·Psychology and Aging ·Annette Brose, Kim De Roover, Eva Ceulemans, Peter Kuppens	39
13	How to detect which variables are causing differences in component structure among different groups 2015 ·Behavior Research Methods ·Kim De Roover, Marieke E. Timmerman, Eva Ceulemans	7
14	What's hampering measurement invariance: detecting non-invariant items using clusterwise simultaneous component analysis 2014 ·Frontiers in Psychology ·Kim De Roover, Marieke E. Timmerman, Jozefien De Leersnyder, Batja Mesquita, Eva Ceulemans	21
15	Is valuing positive emotion associated with life satisfaction? 2014 ·Emotion ·Brock Bastian, Peter Kuppens, Kim De Roover, Ed Diener	111
16	Common and Cluster-Specific Simultaneous Component Analysis 2013 ·PLoS ONE ·Kim De Roover, Marieke E. Timmerman, Batja Mesquita, Eva Ceulemans	12
17	Subspace K-means clustering 2013 ·Behavior Research Methods ·Marieke E. Timmerman, Eva Ceulemans, Kim De Roover, Karla Van Leeuwen	53
18	Modeling Differences in the Dimensionality of Multiblock Data by Means of Clusterwise Simultaneous Component Analysis 2013 ·Psychometrika ·Kim De Roover, Eva Ceulemans, Marieke E. Timmerman, John B. Nezlek, Patrick Onghena	19
19	Clusterwise simultaneous component analysis for analyzing structural differences in multivariate multiblock data. 2011 ·Psychological Methods ·Kim De Roover, Eva Ceulemans, Marieke E. Timmerman, Kristof Vansteelandt, Jeroen Stouten, Patrick Onghena	45
20	How to perform multiblock component analysis in practice 2011 ·Behavior Research Methods ·Kim De Roover, Eva Ceulemans, Marieke E. Timmerman	54

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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