Nicholas V. Annetta

1.9k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Nicholas V. Annetta is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Nicholas V. Annetta has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 13 papers in Cellular and Molecular Neuroscience and 11 papers in Biomedical Engineering. Recurrent topics in Nicholas V. Annetta's work include EEG and Brain-Computer Interfaces (14 papers), Neuroscience and Neural Engineering (13 papers) and Muscle activation and electromyography studies (9 papers). Nicholas V. Annetta is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Neuroscience and Neural Engineering (13 papers) and Muscle activation and electromyography studies (9 papers). Nicholas V. Annetta collaborates with scholars based in United States, United Kingdom and Germany. Nicholas V. Annetta's co-authors include David A. Friedenberg, Marcia Bockbrader, Ali R. Rezai, Gaurav Sharma, W. Jerry Mysiw, Chad Bouton, Ammar Shaikhouni, Bradley Glenn, Austin Morgan and Per B. Sederberg and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Neurophysiology.

In The Last Decade

Nicholas V. Annetta

17 papers receiving 1.3k citations

Hit Papers

Restoring cortical control of functional movement in a hu... 2016 2026 2019 2022 2016 200 400 600

Peers

Nicholas V. Annetta
Robert A. Gaunt United States
Beata Jarosiewicz United States
Matthew A. Schiefer United States
Giacomo Valle Switzerland
David A. Borton United States
Daniel Bacher United States
Gaurav Sharma United States
Florian Fallegger Switzerland
Robert A. Gaunt United States
Nicholas V. Annetta
Citations per year, relative to Nicholas V. Annetta Nicholas V. Annetta (= 1×) peers Robert A. Gaunt

Countries citing papers authored by Nicholas V. Annetta

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas V. Annetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas V. Annetta

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas V. Annetta. A scholar is included among the top collaborators of Nicholas V. Annetta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas V. Annetta. Nicholas V. Annetta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Ting, Jordyn E., Alessandro Del Vecchio, Devapratim Sarma, et al.. (2021). Sensing and decoding the neural drive to paralyzed muscles during attempted movements of a person with tetraplegia using a sleeve array. Journal of Neurophysiology. 126(6). 2104–2118. 40 indexed citations
2.
Colachis, Samuel C., et al.. (2021). Long-term intracortical microelectrode array performance in a human: a 5 year retrospective analysis. Journal of Neural Engineering. 18(4). 0460d7–0460d7. 41 indexed citations
3.
Vecchio, Alessandro Del, Nikhil Verma, Nicholas V. Annetta, et al.. (2021). Detecting and decoding spiking activity from sample populations of single motor neurons using wearable sensors. Spiral (Imperial College London). 22–22. 1 indexed citations
4.
Shqau, Krenar, et al.. (2020). Soft mixed ionic–electronic conductive electrodes for noninvasive stimulation. Journal of Applied Polymer Science. 137(21). 7 indexed citations
5.
Franklin, R., Ali Hassani, Dimitar Filev, et al.. (2019). Towards a Modular Brain-Machine Interface for Intelligent Vehicle Systems Control – A CARLA Demonstration. 277–284. 1 indexed citations
6.
Bockbrader, Marcia, Nicholas V. Annetta, David A. Friedenberg, et al.. (2019). Clinically Significant Gains in Skillful Grasp Coordination by an Individual With Tetraplegia Using an Implanted Brain-Computer Interface With Forearm Transcutaneous Muscle Stimulation. Archives of Physical Medicine and Rehabilitation. 100(7). 1201–1217. 42 indexed citations
7.
Colachis, Samuel C., Marcia Bockbrader, Mingming Zhang, et al.. (2018). Dexterous Control of Seven Functional Hand Movements Using Cortically-Controlled Transcutaneous Muscle Stimulation in a Person With Tetraplegia. Frontiers in Neuroscience. 12. 208–208. 50 indexed citations
8.
Zhang, Mingming, Michael A. Schwemmer, Jordyn E. Ting, et al.. (2018). Extracting wavelet based neural features from human intracortical recordings for neuroprosthetics applications. SHILAP Revista de lepidopterología. 4(1). 11–11. 22 indexed citations
9.
Annetta, Nicholas V., Mingming Zhang, W. Jerry Mysiw, et al.. (2018). A High Definition Noninvasive Neuromuscular Electrical Stimulation System for Cortical Control of Combinatorial Rotary Hand Movements in a Human With Tetraplegia. IEEE Transactions on Biomedical Engineering. 66(4). 910–919. 27 indexed citations
10.
Friedenberg, David A., Michael A. Schwemmer, Andrew J. Landgraf, et al.. (2017). Neuroprosthetic-enabled control of graded arm muscle contraction in a paralyzed human. Scientific Reports. 7(1). 8386–8386. 62 indexed citations
11.
Bouton, Chad, Ammar Shaikhouni, Nicholas V. Annetta, et al.. (2016). Restoring cortical control of functional movement in a human with quadriplegia. Nature. 533(7602). 247–250. 607 indexed citations breakdown →
12.
Bockbrader, Marcia, Nicholas V. Annetta, Gaurav Sharma, et al.. (2016). Poster 253 Implanted Brain‐Computer Interface Controlling a Neuroprosthetic for Increasing Upper Limb Function in a Human with Tetraparesis. PM&R. 8(9S). S242–S243. 1 indexed citations
13.
Sharma, Gaurav, David A. Friedenberg, Nicholas V. Annetta, et al.. (2016). Using an Artificial Neural Bypass to Restore Cortical Control of Rhythmic Movements in a Human with Quadriplegia. Scientific Reports. 6(1). 33807–33807. 47 indexed citations
14.
Bockbrader, Marcia, Nicholas V. Annetta, Gaurav Sharma, et al.. (2016). Standardized Tests of Upper Limb Motor Function Inform the Promise and Pitfalls of Brain-Computer-Muscle Neuroprosthetics for Tetraparetic Patients. Archives of Physical Medicine and Rehabilitation. 97(10). e20–e20. 1 indexed citations
15.
Friedenberg, David A., Chad Bouton, Nicholas V. Annetta, et al.. (2016). Big data challenges in decoding cortical activity in a human with quadriplegia to inform a brain computer interface. PubMed. 2016. 3084–3087. 16 indexed citations
16.
Sharma, Gaurav, Nicholas V. Annetta, David A. Friedenberg, et al.. (2015). Time Stability and Coherence Analysis of Multiunit, Single-Unit and Local Field Potential Neuronal Signals in Chronically Implanted Brain Electrodes. 2(1). 63–71. 31 indexed citations
17.
Viventi, Jonathan, Dae‐Hyeong Kim, Joshua D. Moss, et al.. (2010). A Conformal, Bio-Interfaced Class of Silicon Electronics for Mapping Cardiac Electrophysiology. Science Translational Medicine. 2(24). 24ra22–24ra22. 318 indexed citations

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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