Thorsten Dickhaus
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Neurology top 5%
- Statistics and Probability top 2%
- Co-authors
- Benjamin BlankertzKlaus‐Robert MüllerClaudia SannelliSteven LemmSebastian HalderChrista MeisingerWolfgang RathmannAndreas Mielck
- Topics
- Statistical Methods in Clinical Trials (23 papers)Statistical Methods and Inference (13 papers)Statistical Methods and Bayesian Inference (10 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
In The Last Decade
Thorsten Dickhaus
64 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 535
- Physiology 397
- Neurology 329
- Statistics and Probability 262
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 of co-authors of Thorsten Dickhaus
This figure shows the co-authorship network connecting the top 25 collaborators of Thorsten Dickhaus. A scholar is included among the top collaborators of Thorsten Dickhaus 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 Thorsten Dickhaus. Thorsten Dickhaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 47 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 76 | |
| 13 | 27 | |
| 14 | 30 | |
| 15 | 64 | |
| 16 | 213 | |
| 17 | 74 | |
| 18 | 182 | |
| 19 | 24 | |
| 20 | 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) and Statistical Methods and Bayesian Inference (10 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.