Karoline Huth

405 total citations
19 papers, 120 citations indexed

About

Karoline Huth is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Karoline Huth has authored 19 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Experimental and Cognitive Psychology, 9 papers in Cognitive Neuroscience and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Karoline Huth's work include Mental Health Research Topics (13 papers), Functional Brain Connectivity Studies (9 papers) and Complex Network Analysis Techniques (4 papers). Karoline Huth is often cited by papers focused on Mental Health Research Topics (13 papers), Functional Brain Connectivity Studies (9 papers) and Complex Network Analysis Techniques (4 papers). Karoline Huth collaborates with scholars based in Netherlands, United Kingdom and Singapore. Karoline Huth's co-authors include Maarten Marsman, Ruth J. van Holst, Greg A. Chung‐Yan, Anna E. Goudriaan, Judy Luigjes, Eric‐Jan Wagenmakers, Lourens Waldorp, Jaap M. J. Murre, K. Richard Ridderinkhof and Sanne de Wit and has published in prestigious journals such as Journal of Applied Psychology, Social Science & Medicine and Science Advances.

In The Last Decade

Karoline Huth

15 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karoline Huth Netherlands	7	56	35	27	26	15	19	120
Silvia Andreassi Italy	8	69 1.2×	24 0.7×	49 1.8×	86 3.3×	16 1.1×	23	175
Ruth Turner United Kingdom	7	38 0.7×	17 0.5×	16 0.6×	39 1.5×	36 2.4×	8	106
Lynn Mobach Netherlands	6	40 0.7×	26 0.7×	32 1.2×	60 2.3×	12 0.8×	17	135
Alicia J. Peel United Kingdom	7	49 0.9×	14 0.4×	20 0.7×	51 2.0×	8 0.5×	13	106
Katey Warran United Kingdom	9	20 0.4×	30 0.9×	90 3.3×	30 1.2×	22 1.5×	19	172
Sandersan Onie Australia	8	38 0.7×	51 1.5×	51 1.9×	63 2.4×	9 0.6×	28	187
David Ma Mehler Germany	3	30 0.5×	48 1.4×	18 0.7×	8 0.3×	18 1.2×	4	136
Adrienne D. Woods United States	7	20 0.4×	18 0.5×	22 0.8×	62 2.4×	11 0.7×	22	198
Jeffrey A. Swails United States	5	20 0.4×	30 0.9×	31 1.1×	44 1.7×	5 0.3×	5	100
Laura Ballester Spain	6	28 0.5×	14 0.4×	38 1.4×	77 3.0×	12 0.8×	10	126

Countries citing papers authored by Karoline Huth

Since Specialization

Citations

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

Fields of papers citing papers by Karoline Huth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karoline Huth

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

All Works

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19 of 19 papers shown

Huth, Karoline, Maarten Marsman, Guillaume Barbalat, et al.. (2025). Exploring interrelationships between cognition, functioning and quality of life in schizophrenia spectrum disorders: a Bayesian analysis of networks. European Archives of Psychiatry and Clinical Neuroscience. 276(3). 925–935.

Huth, Karoline, Jenneke van der Wal, Judy Luigjes, et al.. (2025). Individual and neighborhood determinants of depressive symptoms in ethnic minorities in the urban HELIUS sample: a multi-level network perspective. Social Science & Medicine. 381. 118195–118195.

Huth, Karoline, et al.. (2025). Systematic review of symptom‐level networks of alcohol use disorder. Addiction. 120(9). 1709–1723. 1 indexed citations

Huth, Karoline, et al.. (2025). Statistical evidence in psychological networks. Nature Human Behaviour. 10(2). 333–346. 1 indexed citations

Huth, Karoline, et al.. (2025). Statistical Evidence in Psychological Networks. 1 indexed citations

Huth, Karoline, et al.. (2024). The urban desirability paradox: U.K. urban-rural differences in well-being, social satisfaction, and economic satisfaction. Science Advances. 10(29). eadn1636–eadn1636. 5 indexed citations

Huth, Karoline, et al.. (2024). Exploring the mechanisms underlying increased risk of depressive disorder in ethnic minority populations in Europe: A causal loop diagram. Social Science & Medicine. 351. 116977–116977. 1 indexed citations

Marsman, Maarten, Jentien M. Vermeulen, Karoline Huth, et al.. (2024). Exploring the Interactions Between Psychotic Symptoms, Cognition, and Environmental Risk Factors: A Bayesian Analysis of Networks. Schizophrenia Bulletin. 51(4). 1134–1145.

Huth, Karoline, et al.. (2024). Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods. Multivariate Behavioral Research. 59(5). 913–933. 7 indexed citations

10.

Huth, Karoline, et al.. (2024). Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package. UvA-DARE (University of Amsterdam). 2. 3 indexed citations

11.

Huth, Karoline, Jill de Ron, Anna E. Goudriaan, et al.. (2023). Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP. Advances in Methods and Practices in Psychological Science. 6(4). 25 indexed citations

12.

Huth, Karoline, Lourens Waldorp, Judy Luigjes, et al.. (2022). A Note on the Structural Change Test in Highly Parameterized Psychometric Models. Psychometrika. 87(3). 1064–1080. 2 indexed citations

13.

Marsman, Maarten & Karoline Huth. (2022). Idiographic Ising and Divide and Color Models: Encompassing Networks for Heterogeneous Binary Data. Multivariate Behavioral Research. 58(4). 787–814. 1 indexed citations

14.

Marsman, Maarten, Karoline Huth, Lourens Waldorp, & Ioannis Ntzoufras. (2022). Objective Bayesian Edge Screening and Structure Selection for Ising Networks. Psychometrika. 87(1). 47–82. 13 indexed citations

15.

Huth, Karoline & Greg A. Chung‐Yan. (2022). Quantifying the evidence for the absence of the job demands and job control interaction on workers’ well-being: A Bayesian meta-analysis.. Journal of Applied Psychology. 108(6). 1060–1072. 13 indexed citations

16.

Huth, Karoline, et al.. (2021). The Interplay Between Quality of Life and Resilience Factors in Later Life: A Network Analysis. Frontiers in Psychology. 12. 752564–752564. 24 indexed citations

17.

Huth, Karoline, Judy Luigjes, Maarten Marsman, Anna E. Goudriaan, & Ruth J. van Holst. (2021). Modeling alcohol use disorder as a set of interconnected symptoms – Assessing differences between clinical and population samples and across external factors. Addictive Behaviors. 125. 107128–107128. 15 indexed citations

18.

Dablander, Fabian, Karoline Huth, Quentin F. Gronau, Alexander Etz, & Eric‐Jan Wagenmakers. (2021). A puzzle of proportions: Two popular Bayesian tests can yield dramatically different conclusions. Statistics in Medicine. 41(8). 1319–1333. 7 indexed citations

19.

Huth, Karoline, et al.. (1972). [Incidence and distribution of hyperlipoproteinemias].. PubMed. 78. 1337–9. 1 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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