Karin Trimmel

1.3k citations
33 papers · 850 · h-index 17

Impact in

Papers in

Karin Trimmel

32 papers receiving 839 citations

Peers

Karin Trimmel
Comparison fields: 5 of 76
  • Psychiatry and Mental health 243
  • Cognitive Neuroscience 275
  • Cardiology and Cardiovascular Medicine 172
  • Experimental and Cognitive Psychology 71
  • Cellular and Molecular Neuroscience 87
Replace Cameron S. Mang with:
Cameron S. Mang Canada
Markus Breimhorst Germany
Michael K. Yeung Hong Kong
Luigi Giuseppe Bongiovanni Italy
Vera Abeln Germany
Marie‐Claire Smith New Zealand
Melvin Mezue United Kingdom
Ekaterina Dobryakova United States
Shogo Yazawa Japan
Thomas Lapole France
Karin Trimmel relative to Cameron S. Mang Canada Cameron S. Mang's profile →
Citations per field
00.5×3.7×
Cameron S. Mang · 1×
Citations per year

Countries citing papers authored by Karin Trimmel

Since Specialization
Citations

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

Fields of papers citing papers by Karin Trimmel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015204
2 201884
3 202059
4 201955
5 201950
6 202243
7 202141
8 201831
9 201930
10 201827
11 201225
12 202123
13 202022
14 201720
15 202019
16 201917
17 201616
18 201714
19 201113
20 201410

About Karin Trimmel

Karin Trimmel is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Neurology, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 850 indexed citations. Recurring topics across this work include Epilepsy research and treatment (13 papers), EEG and Brain-Computer Interfaces (3 papers), Functional Brain Connectivity Studies (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Restless Legs Syndrome Research (2 papers), Noise Effects and Management (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Psychiatry and Mental health (243 citations), Cognitive Neuroscience (275 citations), Cardiology and Cardiovascular Medicine (172 citations), Experimental and Cognitive Psychology (71 citations) and Cellular and Molecular Neuroscience (87 citations). Karin Trimmel has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include George E. Billman, Jerzy Sacha, Heikki V. Huikuri, John S. Duncan, Matthias J. Koepp, Pamela J. Thompson, Lorenzo Caciagli, Sjoerd B. Vos, Gavin P. Winston and Anja Haag. Their work appears in journals such as Epilepsia, Brain, Neurology, Journal of Neurology and Clinical Neurophysiology.

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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