Nick Annetta

19 papers receiving 1.5k citations

Nick Annetta's Hit Papers

Restoring cortical control of functional movement in a human with quadriplegia 2016 · 713 citations
7130+3+6Years since publication200400600

Peers

Nick Annetta
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 502
  • Cognitive Neuroscience 645
  • Rehabilitation 113
  • Health Informatics 27
  • Biomedical Engineering 339
Replace Gaurav Sharma with:
Gaurav Sharma United States
Brian Wodlinger United States
Ammar Shaikhouni United States
Bradley Glenn United States
A. Bolu Ajiboye United States
Guillaume Charvet France
David J. Guggenmos United States
Fabien Sauter-Starace France
William D. Memberg United States
Daniel Bacher United States
Nick Annetta relative to Gaurav Sharma United States Gaurav Sharma's profile →
Citations per field
00.5×1.5×2×2.4×
Gaurav Sharma · 1×
Citations per year

Countries citing papers authored by Nick Annetta

Since Specialization
Citations

This map shows the geographic impact of Nick Annetta'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 Nick Annetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Annetta more than expected).

Fields of papers citing papers by Nick Annetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick Annetta. 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 Nick Annetta. The network helps show where Nick Annetta may publish in the future.

Co-authors

The 25 scholars most cited alongside Nick Annetta, 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 Nick Annetta Line = papers co-authored together Nick Annetta links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Restoring cortical control of functional movement in a human with quadriplegia
Hit paper breakdown →
2016713
2 2010362
3 201764
4 201859
5 201953
6 201652
7 202145
8 202145
9 202235
10 201533
11 201830
12 201822
13 201618
14 20207
15 20174
16 20162
17 20192
18 20161
19 20211

About Nick Annetta

Nick Annetta is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Rehabilitation, Pathology and Forensic Medicine and Biomedical Engineering, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Neuroscience and Neural Engineering (10 papers), Spinal Cord Injury Research (4 papers), Stroke Rehabilitation and Recovery (3 papers), Muscle activation and electromyography studies (2 papers), Advanced Sensor and Energy Harvesting Materials (1 paper), Free Will and Agency (1 paper) and Conducting polymers and applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (502 citations), Cognitive Neuroscience (645 citations), Rehabilitation (113 citations), Health Informatics (27 citations) and Biomedical Engineering (339 citations). Nick Annetta has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David A. Friedenberg, Marcia A. Bockbrader, Gaurav Sharma, Ali R. Rezai, W. Jerry Mysiw, Chad E. Bouton, Bradley Glenn, Ammar Shaikhouni, Per Benjamin Sederberg and Dylan M. Nielson. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, Scientific Reports, PM&R, Science Translational Medicine and Journal of Neural Engineering.

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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