Daniel Bacher

13 papers receiving 2.6k citations

Daniel Bacher's Hit Papers

Reach and grasp by people with tetraplegia using a neurally controlled robotic arm 2012 · 2.0k citations
2.0k0+4+9Years since publication50010001.5k

Peers

Daniel Bacher
Comparison fields: 5 of 111
  • Cognitive Neuroscience 2.1k
  • Cellular and Molecular Neuroscience 1.6k
  • Human-Computer Interaction 270
  • Biomedical Engineering 640
  • Neurology 152
Replace Jörn Vogel with:
Jörn Vogel Germany
Francis R. Willett United States
Meel Velliste United States
John E. Downey United States
Maryam Saleh United States
Brian Wodlinger United States
Beata Jarosiewicz United States
Jürgen Mellinger Germany
Almut Branner United States
Daniel Bacher relative to Jörn Vogel Germany Jörn Vogel's profile →
Citations per field
00.5×1.6×
Jörn Vogel · 1×
Citations per year

Countries citing papers authored by Daniel Bacher

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Bacher Line = papers co-authored together Daniel Bacher links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hit paper breakdown →
20121983
2 2015254
3 201492
4 201890
5 201379
6 200667
7 201546
8 201429
9 201319
10 202313
11 201911
12 20155
13 20121

About Daniel Bacher

Daniel Bacher is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Human-Computer Interaction and Endocrine and Autonomic Systems, having authored 13 papers that have together received 2.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Neural Engineering (7 papers), Muscle activation and electromyography studies (4 papers), Gaze Tracking and Assistive Technology (4 papers), Cell Adhesion Molecules Research (1 paper), Non-Invasive Vital Sign Monitoring (1 paper), Obstructive Sleep Apnea Research (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Cellular and Molecular Neuroscience (1.6k citations), Human-Computer Interaction (270 citations), Biomedical Engineering (640 citations) and Neurology (152 citations). Daniel Bacher has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Leigh R. Hochberg, Sydney S. Cash, Beata Jarosiewicz, John P. Donoghue, John D. Simeral, Nicolas Y. Masse, Patrick van der Smagt, Sami Haddadin, Jörn Vogel and Jie Liu. Their work appears in journals such as Journal of Neurophysiology, Neurorehabilitation and neural repair, Springer tracts in advanced robotics, The International Journal of Robotics Research 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.

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