Karoline Huth

15 papers receiving 131 citations

Peers

Karoline Huth
Comparison fields: 5 of 44
  • Experimental and Cognitive Psychology 54
  • Neuropsychology and Physiological Psychology 2
  • Cognitive Neuroscience 26
  • Applied Psychology 6
  • Health 9
Replace Silvia Andreassi with:
Silvia Andreassi Italy
Lynn Mobach Netherlands
Katey Warran United Kingdom
Pavol Kačmár Slovakia
David Ma Mehler Germany
Paul B. Hutchings United Kingdom
Timothy Pawl United States
Cristián Javier Garay Argentina
Jean‐Baptiste Hazo France
Rémi Thériault Canada
Karoline Huth relative to Silvia Andreassi Italy Silvia Andreassi's profile →
Citations per field
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Silvia Andreassi · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown
#Work
1 202326
2 202125
3 202215
4 202115
5 202213
6 20248
7 20247
8 20217
9 20246
10 20254
11 20252
12 20222
13 20242
14 20251
15 20221
16
[Incidence and distribution of hyperlipoproteinemias].
19721
17 20250
18 20250
19 20240
20 20250

About Karoline Huth

Karoline Huth is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Statistical and Nonlinear Physics, Health and Sociology and Political Science, having authored 20 papers that have together received 135 indexed citations. Recurring topics across this work include Mental Health Research Topics (14 papers), Functional Brain Connectivity Studies (7 papers), Complex Network Analysis Techniques (4 papers), Schizophrenia research and treatment (2 papers), Statistical Methods in Clinical Trials (2 papers), Health disparities and outcomes (2 papers), Psychological Well-being and Life Satisfaction (1 paper) and Urban Green Space and Health (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (54 citations), Neuropsychology and Physiological Psychology (2 citations), Cognitive Neuroscience (26 citations), Applied Psychology (6 citations) and Health (9 citations). Karoline Huth has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Maarten Marsman, Ruth J. van Holst, Greg A. Chung‐Yan, Judy Luigjes, Eric‐Jan Wagenmakers, Harm J. Krugers, Anna E. Goudriaan, Sanne de Wit, Jaap M. J. Murre and K. Richard Ridderinkhof. Their work appears in journals such as Social Science & Medicine, Multivariate Behavioral Research, Psychometrika, European Archives of Psychiatry and Clinical Neuroscience and Schizophrenia Bulletin.

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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