Thorsten Dickhaus
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces 7
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials 23
- Statistical Methods and Inference 13
- Statistical Methods and Bayesian Inference 10
- Advanced Statistical Methods and Models 6
- Human-Computer Interaction top 2%
- Neurology top 5%
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- Genetic Associations and Epidemiology 9
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- Gene expression and cancer classification 6
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- Optimal Experimental Design Methods 6
- Co-authors
- Benjamin BlankertzKlaus‐Robert MüllerClaudia SannelliSteven LemmSebastian HalderChrista MeisingerWolfgang RathmannAndreas Mielck
- Journals
- Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)Bioinformatics (1 paper)
In The Last Decade
Thorsten Dickhaus
64 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cognitive Neuroscience 1.4k
- Statistics and Probability 262
- Cellular and Molecular Neuroscience 535
- Human-Computer Interaction 135
- Neurology 329
Countries citing papers authored by Thorsten Dickhaus
This map shows the geographic impact of Thorsten Dickhaus'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 Thorsten Dickhaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thorsten Dickhaus more than expected).
Fields of papers citing papers by Thorsten Dickhaus
This network shows the impact of papers produced by Thorsten Dickhaus. 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 Thorsten Dickhaus. The network helps show where Thorsten Dickhaus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thorsten Dickhaus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 1 | |
| 8 | 2016 | 7 | |
| 9 | 2016 | 47 | |
| 10 | 2015 | 5 | |
| 11 | 2013 | 14 | |
| 12 | 2013 | 76 | |
| 13 | 2012 | 27 | |
| 14 | 2011 | 30 | |
| 15 | 2011 | 64 | |
| 16 | 2011 | 213 | |
| 17 | 2010 | 74 | |
| 18 | 2009 | 182 | |
| 19 | 2009 | 24 | |
| 20 | 2008 | 58 |
About Thorsten Dickhaus
Thorsten Dickhaus is a scholar working on Statistics and Probability, Management Science and Operations Research and Genetics, having authored 67 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (23 papers), Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (10 papers), Genetic Associations and Epidemiology (9 papers), EEG and Brain-Computer Interfaces (7 papers), Gene expression and cancer classification (6 papers), Advanced Statistical Methods and Models (6 papers) and Optimal Experimental Design Methods (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Statistics and Probability (262 citations) and Cellular and Molecular Neuroscience (535 citations). Thorsten Dickhaus has collaborated with scholars based in Germany, Spain and Sweden. Frequent co-authors include Benjamin Blankertz, Klaus‐Robert Müller, Claudia Sannelli, Steven Lemm, Sebastian Halder, Christa Meisinger, Wolfgang Rathmann, Andreas Mielck, Dan Ziegler and Eva Maria Hammer. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.