Benjamin Dann
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Motor Control and Adaptation
- Neural and Behavioral Psychology Studies
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in ⓘ
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- Neural dynamics and brain function 8
- EEG and Brain-Computer Interfaces 5
- Motor Control and Adaptation 4
- Functional Brain Connectivity Studies 2
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- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 2
- Co-authors
- Hansjörg Scherberger (9 shared papers)Jonathan A. Michaels (5 shared papers)Stefan Schaffelhofer (3 shared papers)Swathi Sheshadri (2 shared papers)Cem Uran (1 shared paper)Ana Clara Broggini (1 shared paper)Martin Vinck (1 shared paper)Marius Schneider (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Scientific Reports (1 paper)PLoS Computational Biology (1 paper)eLife (1 paper)Neuron (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Benjamin Dann
9 papers receiving 381 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 330
- Cellular and Molecular Neuroscience 105
- Sensory Systems 12
- Social Psychology 33
- Neurology 12
Countries citing papers authored by Benjamin Dann
This map shows the geographic impact of Benjamin Dann'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 Benjamin Dann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Dann more than expected).
Fields of papers citing papers by Benjamin Dann
This network shows the impact of papers produced by Benjamin Dann. 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 Benjamin Dann. The network helps show where Benjamin Dann may publish in the future.
Co-authors
The 14 scholars most cited alongside Benjamin Dann, 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 | 2016 | 101 | |
| 2 | 2021 | 82 | |
| 3 | 2016 | 46 | |
| 4 | 2023 | 44 | |
| 5 | 2015 | 44 | |
| 6 | 2020 | 23 | |
| 7 | 2018 | 18 | |
| 8 | 2018 | 14 | |
| 9 | 2008 | 10 | |
| 10 | 2021 | 0 |
About Benjamin Dann
Benjamin Dann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications, Computer Vision and Pattern Recognition and Sensory Systems, having authored 10 papers that have together received 382 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), EEG and Brain-Computer Interfaces (5 papers), Motor Control and Adaptation (4 papers), Neuroscience and Neural Engineering (2 papers), Functional Brain Connectivity Studies (2 papers), Photoreceptor and optogenetics research (2 papers), Nonlinear Dynamics and Pattern Formation (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (330 citations), Cellular and Molecular Neuroscience (105 citations), Sensory Systems (12 citations), Social Psychology (33 citations) and Neurology (12 citations). Benjamin Dann has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Hansjörg Scherberger, Jonathan A. Michaels, Stefan Schaffelhofer, Swathi Sheshadri, Cem Uran, Ana Clara Broggini, Martin Vinck, Marius Schneider, Thomas F. Varley and Olaf Sporns. Their work appears in journals such as Journal of Neuroscience, Scientific Reports, PLoS Computational Biology, eLife and Neuron.
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.