Karoline Huth

15 papers receiving 116 citations

Peers

Karoline Huth
Comparison fields: 5 of 53
  • Experimental and Cognitive Psychology 56
  • Cognitive Neuroscience 35
  • Applied Psychology 9
  • Health 12
  • Neuropsychology and Physiological Psychology 2
Replace Silvia Andreassi with:
Silvia Andreassi Italy
Ruth Turner United Kingdom
Katey Warran United Kingdom
Alicia J. Peel United Kingdom
David Ma Mehler Germany
Lynn Mobach Netherlands
Adrijana Koščeć Bjelajac Croatia
Laura Ballester Spain
Sandersan Onie Australia
Jeffrey A. Swails United States
Karoline Huth relative to Silvia Andreassi Italy Silvia Andreassi's profile →
Citations per field
00.5×1.5×2.4×
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

19 of 19 papers shown
#Work
1 202325
2 202124
3 202115
4 202213
5 202213
6 20217
7 20247
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9 20243
10 20222
11 20221
12 20251
13 20241
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15
[Incidence and distribution of hyperlipoproteinemias].
19721
16 20251
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18 20250
19 20240

About Karoline Huth

Karoline Huth is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Statistical and Nonlinear Physics, Psychiatry and Mental health and Health, having authored 19 papers that have together received 120 indexed citations. Recurring topics across this work include Mental Health Research Topics (13 papers), Functional Brain Connectivity Studies (9 papers), Complex Network Analysis Techniques (4 papers), Schizophrenia research and treatment (4 papers), Health disparities and outcomes (2 papers), Statistical Methods in Clinical Trials (2 papers), Urban Green Space and Health (1 paper) and Place Attachment and Urban Studies (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (56 citations), Cognitive Neuroscience (35 citations), Applied Psychology (9 citations), Health (12 citations) and Neuropsychology and Physiological Psychology (2 citations). Karoline Huth has collaborated with scholars based in Netherlands, United Kingdom and Taiwan. Frequent co-authors include Maarten Marsman, Anna E. Goudriaan, Greg A. Chung‐Yan, Judy Luigjes, Ruth J. van Holst, Eric‐Jan Wagenmakers, K. Richard Ridderinkhof, Harm J. Krugers, Lourens Waldorp and Jaap M. J. Murre. Their work appears in journals such as Multivariate Behavioral Research, Psychometrika, Social Science & Medicine, Schizophrenia Bulletin and Frontiers in Psychology.

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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