Timo Bröhl
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Functional Brain Connectivity Studies 10
- Neural dynamics and brain function 9
- EEG and Brain-Computer Interfaces 8
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- Complex Network Analysis Techniques 7
- Co-authors
- Klaus Lehnertz (20 shared papers)Thorsten Rings (11 shared papers)Randi von Wrede (7 shared papers)Christoph Helmstaedter (5 shared papers)Subrata Ghosh (1 shared paper)Arindam Mishra (1 shared paper)Dibakar Ghosh (1 shared paper)Syamal K. Dana (1 shared paper)
In The Last Decade
Timo Bröhl
20 papers receiving 294 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 142
- Statistical and Nonlinear Physics 73
- Neurology 35
- Experimental and Cognitive Psychology 30
- Cellular and Molecular Neuroscience 39
Countries citing papers authored by Timo Bröhl
This map shows the geographic impact of Timo Bröhl'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 Timo Bröhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Bröhl more than expected).
Fields of papers citing papers by Timo Bröhl
This network shows the impact of papers produced by Timo Bröhl. 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 Timo Bröhl. The network helps show where Timo Bröhl may publish in the future.
Co-authors
The 13 scholars most cited alongside Timo Bröhl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 47 | |
| 2 | 2023 | 40 | |
| 3 | 2021 | 26 | |
| 4 | 2022 | 25 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Timo Bröhl
Timo Bröhl is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Molecular Biology, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 21 papers that have together received 296 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (8 papers), Complex Network Analysis Techniques (7 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Vagus Nerve Stimulation Research (3 papers), Mental Health Research Topics (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Cognitive Neuroscience (142 citations), Statistical and Nonlinear Physics (73 citations), Neurology (35 citations), Experimental and Cognitive Psychology (30 citations) and Cellular and Molecular Neuroscience (39 citations). Timo Bröhl has collaborated with scholars based in Germany, Singapore and India. Frequent co-authors include Klaus Lehnertz, Thorsten Rings, Randi von Wrede, Christoph Helmstaedter, Subrata Ghosh, Arindam Mishra, Dibakar Ghosh, Syamal K. Dana, Arnob Ray and Tomasz Kapitaniak. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Scientific Reports, Frontiers in Physiology, Frontiers in Human Neuroscience and Journal of Clinical Medicine.
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.