Thea Radüntz

603 total citations
13 papers, 404 citations indexed

About

Thea Radüntz is a scholar working on Cognitive Neuroscience, Social Psychology and Surgery. According to data from OpenAlex, Thea Radüntz has authored 13 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Social Psychology and 2 papers in Surgery. Recurrent topics in Thea Radüntz's work include EEG and Brain-Computer Interfaces (7 papers), Human-Automation Interaction and Safety (6 papers) and Neural and Behavioral Psychology Studies (4 papers). Thea Radüntz is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Human-Automation Interaction and Safety (6 papers) and Neural and Behavioral Psychology Studies (4 papers). Thea Radüntz collaborates with scholars based in Germany, Canada and United States. Thea Radüntz's co-authors include Beate Meffert, Norbert Fürstenau, Thorsten Mühlhausen, Gabriele Freude, Hannah Hagy, Patrick D. Gajewski, Michael Falkenstein, Guy G. Potter, Daniel Hatch and Maik Friedrich and has published in prestigious journals such as Scientific Reports, Frontiers in Physiology and Journal of Neuroscience Methods.

In The Last Decade

Thea Radüntz

13 papers receiving 388 citations

Peers

Thea Radüntz
Mehdi Hajinoroozi United States
Sarah Blum Germany
David Steyrl Austria
Tony Steffert United Kingdom
A. Saidatul Malaysia
Irene Sturm Germany
Thea Radüntz
Citations per year, relative to Thea Radüntz Thea Radüntz (= 1×) peers Hubert Banville

Countries citing papers authored by Thea Radüntz

Since Specialization
Citations

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

Fields of papers citing papers by Thea Radüntz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thea Radüntz

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

All Works

13 of 13 papers shown
1.
Potter, Guy G., Daniel Hatch, Hannah Hagy, et al.. (2021). Slower information processing speed is associated with persistent burnout symptoms but not depression symptoms in nursing workers. Journal of Clinical and Experimental Neuropsychology. 43(1). 33–45. 7 indexed citations
2.
Fürstenau, Norbert & Thea Radüntz. (2021). Power law model for subjective mental workload and validation through air traffic control human-in-the-loop simulation. Cognition Technology & Work. 24(2). 291–315. 9 indexed citations
3.
Radüntz, Thea. (2020). The Effect of Planning, Strategy Learning, and Working Memory Capacity on Mental Workload. Scientific Reports. 10(1). 7096–7096. 17 indexed citations
4.
Radüntz, Thea, et al.. (2020). Cardiovascular Biomarkers’ Inherent Timescales in Mental Workload Assessment During Simulated Air Traffic Control Tasks. Applied Psychophysiology and Biofeedback. 46(1). 43–59. 12 indexed citations
5.
Radüntz, Thea & Beate Meffert. (2020). Cross-Modality Matching for Evaluating User Experience of Emerging Mobile EEG Technology. IEEE Transactions on Human-Machine Systems. 1–8. 5 indexed citations
6.
Radüntz, Thea, Norbert Fürstenau, Thorsten Mühlhausen, & Beate Meffert. (2020). Indexing Mental Workload During Simulated Air Traffic Control Tasks by Means of Dual Frequency Head Maps. Frontiers in Physiology. 11. 300–300. 12 indexed citations
7.
Fürstenau, Norbert, Thea Radüntz, & Thorsten Mühlhausen. (2020). Model-based development of a mental workload-sensitivity index for subject clustering. Theoretical Issues in Ergonomics Science. 21(6). 684–708. 3 indexed citations
8.
Radüntz, Thea & Beate Meffert. (2019). User Experience of 7 Mobile Electroencephalography Devices: Comparative Study. JMIR mhealth and uhealth. 7(9). e14474–e14474. 31 indexed citations
9.
Radüntz, Thea. (2018). Signal Quality Evaluation of Emerging EEG Devices. Frontiers in Physiology. 9. 98–98. 87 indexed citations
10.
Radüntz, Thea, et al.. (2017). Automated EEG artifact elimination by applying machine learning algorithms to ICA-based features. Journal of Neural Engineering. 14(4). 46004–46004. 102 indexed citations
11.
Radüntz, Thea. (2017). Dual Frequency Head Maps: A New Method for Indexing Mental Workload Continuously during Execution of Cognitive Tasks. Frontiers in Physiology. 8. 1019–1019. 23 indexed citations
12.
Radüntz, Thea, et al.. (2015). EEG artifact elimination by extraction of ICA-component features using image processing algorithms. Journal of Neuroscience Methods. 243. 84–93. 95 indexed citations
13.
Radüntz, Thea, Sinem Kuz, Matthias Wille, et al.. (2014). Kognitive Ergonomie - Erfassung des mentalen Zustands. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 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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