Carsten H. Wolters
- Cognitive Neuroscience top 0.5%
- Functional Brain Connectivity Studies 48
- Neural dynamics and brain function 36
- EEG and Brain-Computer Interfaces 30
- Neurology top 0.5%
- Transcranial Magnetic Stimulation Studies 18
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- Advanced MRI Techniques and Applications 59
- Advanced Neuroimaging Techniques and Applications 23
- Signal Processing top 2%
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- Electrical and Bioimpedance Tomography 15
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- Epilepsy research and treatment 11
- Co-authors
- Johannes VorwerkAlfred AnwanderSven WagnerThomas R. KnöscheChristoph S. HerrmannMartin BurgerToralf NeulingMoritz Dannhauer
- Partner nations
- GermanyUnited StatesFinland
In The Last Decade
Carsten H. Wolters
134 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 121
- Cognitive Neuroscience 2.9k
- Neurology 978
- Radiology, Nuclear Medicine and Imaging 1.6k
- Cellular and Molecular Neuroscience 609
- Signal Processing 310
Countries citing papers authored by Carsten H. Wolters
This map shows the geographic impact of Carsten H. Wolters'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 Carsten H. Wolters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten H. Wolters more than expected).
Fields of papers citing papers by Carsten H. Wolters
This network shows the impact of papers produced by Carsten H. Wolters. 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 Carsten H. Wolters. The network helps show where Carsten H. Wolters may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carsten H. Wolters, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 19 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 19 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 57 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 9 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 59 | |
| 18 | 2017 | 13 | |
| 19 | 2014 | 201 | |
| 20 | Bio-numerical simulations with SimBio | 2003 | 5 |
About Carsten H. Wolters
Carsten H. Wolters is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Computational Mathematics and Signal Processing, having authored 140 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (59 papers), Functional Brain Connectivity Studies (48 papers), Neural dynamics and brain function (36 papers), EEG and Brain-Computer Interfaces (30 papers), Advanced Neuroimaging Techniques and Applications (23 papers), Transcranial Magnetic Stimulation Studies (18 papers), Electrical and Bioimpedance Tomography (15 papers) and Epilepsy research and treatment (11 papers). The work is most often cited by research in Cognitive Neuroscience (2.9k citations), Neurology (978 citations), Radiology, Nuclear Medicine and Imaging (1.6k citations), Cellular and Molecular Neuroscience (609 citations) and Signal Processing (310 citations). Carsten H. Wolters has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Johannes Vorwerk, Alfred Anwander, Sven Wagner, Thomas R. Knösche, Christoph S. Herrmann, Martin Burger, Toralf Neuling, Moritz Dannhauer, Benjamin Lanfer and Stefan Rampp. Their work appears in journals such as NeuroImage, Human Brain Mapping, Frontiers in Neuroscience, IEEE Transactions on Biomedical Engineering and Brain Topography.
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.