Daniel Bacher
Impact in
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- Neuroscience and Neural Engineering
Papers in
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- EEG and Brain-Computer Interfaces 10
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- Neuroscience and Neural Engineering 8
- Co-authors
- Leigh R. Hochberg (10 shared papers)Sydney S. Cash (8 shared papers)John D. Simeral (8 shared papers)John P. Donoghue (8 shared papers)Nicolas Y. Masse (6 shared papers)Beata Jarosiewicz (5 shared papers)Sami Haddadin (2 shared papers)Patrick van der Smagt (2 shared papers)
- Journals
- Journal of Neurophysiology (2 papers)Neurorehabilitation and neural repair (1 paper)Science Translational Medicine (1 paper)Journal of Neural Engineering (1 paper)Nature (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Daniel Bacher
11 papers receiving 2.3k citations
Daniel Bacher's Hit Papers
Peers
Comparison fields: 5 of 93
- Cognitive Neuroscience 2.0k
- Cellular and Molecular Neuroscience 1.7k
- Human-Computer Interaction 268
- Biomedical Engineering 676
- Neurology 137
Countries citing papers authored by Daniel Bacher
This map shows the geographic impact of Daniel Bacher'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 Daniel Bacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bacher more than expected).
Fields of papers citing papers by Daniel Bacher
This network shows the impact of papers produced by Daniel Bacher. 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 Daniel Bacher. The network helps show where Daniel Bacher may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bacher, 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 | Reach and grasp by people with tetraplegia using a neurally controlled robotic arm Hit paper breakdown → | 2012 | 1768 |
| 2 | 2015 | 236 | |
| 3 | 2014 | 86 | |
| 4 | 2018 | 85 | |
| 5 | 2013 | 73 | |
| 6 | 2015 | 40 | |
| 7 | 2014 | 27 | |
| 8 | 2023 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2015 | 5 | |
| 11 | 2012 | 1 |
About Daniel Bacher
Daniel Bacher is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 11 papers that have together received 2.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Neuroscience and Neural Engineering (8 papers), Gaze Tracking and Assistive Technology (5 papers), Muscle activation and electromyography studies (5 papers), Advanced Memory and Neural Computing (2 papers), Non-Invasive Vital Sign Monitoring (1 paper), Neuroscience of respiration and sleep (1 paper) and Obstructive Sleep Apnea Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Cellular and Molecular Neuroscience (1.7k citations), Human-Computer Interaction (268 citations), Biomedical Engineering (676 citations) and Neurology (137 citations). Daniel Bacher has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Leigh R. Hochberg, Sydney S. Cash, John D. Simeral, John P. Donoghue, Nicolas Y. Masse, Beata Jarosiewicz, Sami Haddadin, Patrick van der Smagt, Jörn Vogel and Jie Liu. Their work appears in journals such as Journal of Neurophysiology, Neurorehabilitation and neural repair, Science Translational Medicine, Journal of Neural Engineering and Nature.
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.