Roland Beisteiner
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 39
- EEG and Brain-Computer Interfaces 19
- Motor Control and Adaptation 9
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies 29
- Neurological disorders and treatments 13
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- Advanced MRI Techniques and Applications 35
- Advanced Neuroimaging Techniques and Applications 27
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies 29
- Neurological disorders and treatments 13
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- Ultrasound and Hyperthermia Applications 15
Roland Beisteiner
107 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 123
- Cognitive Neuroscience 1.3k
- Neurology 483
- Radiology, Nuclear Medicine and Imaging 800
- Anesthesiology and Pain Medicine 99
- Neurology 267
Countries citing papers authored by Roland Beisteiner
This map shows the geographic impact of Roland Beisteiner'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 Roland Beisteiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Beisteiner more than expected).
Fields of papers citing papers by Roland Beisteiner
This network shows the impact of papers produced by Roland Beisteiner. 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 Roland Beisteiner. The network helps show where Roland Beisteiner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roland Beisteiner, 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 | 46 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 10 | |
| 8 | 2016 | 4 | |
| 9 | 2015 | 32 | |
| 10 | 2014 | 14 | |
| 11 | 2014 | 38 | |
| 12 | 2011 | 101 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 29 | |
| 15 | 2004 | 13 | |
| 16 | 2000 | 41 | |
| 17 | Fuzzy clustering as a model-free analysis method in single-event fMRI | 1999 | 2 |
| 18 | Homuncular organization of finger representation in the human motor cortex as studied by whole head magnetoencephalography | 1999 | 0 |
| 19 | Single-event functional MRI of supplementary and primary motor cortical areas | 1999 | 1 |
| 20 | Finger somatotopy in the human motor cortex: A comparison of fuzzy cluster and correlation analysis | 1999 | 1 |
About Roland Beisteiner
Roland Beisteiner is a scholar working on Neurology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 112 papers that have together received 2.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (39 papers), Advanced MRI Techniques and Applications (35 papers), Transcranial Magnetic Stimulation Studies (29 papers), Advanced Neuroimaging Techniques and Applications (27 papers), EEG and Brain-Computer Interfaces (19 papers), Ultrasound and Hyperthermia Applications (15 papers), Neurological disorders and treatments (13 papers) and Motor Control and Adaptation (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Neurology (483 citations) and Radiology, Nuclear Medicine and Imaging (800 citations). Roland Beisteiner has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include G. Lindinger, Wilfried Lang, Alexander Geißler, Peter Höllinger, Alain Berthoz, Andreas Gartus, L. Deecke, Eva Matt, Marcus Erdler and Vinod Edward. Their work appears in journals such as NeuroImage, Radiology and Annals of the New York Academy of Sciences.
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.