Jonathan A. Michaels

789 total citations
14 papers, 349 citations indexed

About

Jonathan A. Michaels is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Jonathan A. Michaels has authored 14 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 6 papers in Biomedical Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Jonathan A. Michaels's work include Motor Control and Adaptation (9 papers), EEG and Brain-Computer Interfaces (7 papers) and Muscle activation and electromyography studies (6 papers). Jonathan A. Michaels is often cited by papers focused on Motor Control and Adaptation (9 papers), EEG and Brain-Computer Interfaces (7 papers) and Muscle activation and electromyography studies (6 papers). Jonathan A. Michaels collaborates with scholars based in Germany, Canada and United States. Jonathan A. Michaels's co-authors include Hansjörg Scherberger, Benjamin Dann, Stefan Schaffelhofer, Andres Agudelo-Toro, J. Andrew Pruszynski, Lu Yang, Stephen H. Scott, Paul L. Gribble, Olivier Codol and Jessica A. Grahn and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Jonathan A. Michaels

13 papers receiving 348 citations

Peers

Jonathan A. Michaels
Sean M. Perkins United States
Abigail A. Russo United States
Sean R. Bittner United States
K. Cora Ames United States
Anil Cherian United States
Stephanie Naufel United States
Sean M. Perkins United States
Jonathan A. Michaels
Citations per year, relative to Jonathan A. Michaels Jonathan A. Michaels (= 1×) peers Sean M. Perkins

Countries citing papers authored by Jonathan A. Michaels

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan A. Michaels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Michaels. 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 Jonathan A. Michaels. The network helps show where Jonathan A. Michaels may publish in the future.

Co-authorship network of co-authors of Jonathan A. Michaels

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan A. Michaels. A scholar is included among the top collaborators of Jonathan A. Michaels 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 Jonathan A. Michaels. Jonathan A. Michaels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Grahn, Jessica A., et al.. (2026). Reward-driven emergence of auditory pattern encoding in the primate motor system. bioRxiv (Cold Spring Harbor Laboratory).
2.
Michaels, Jonathan A., Olivier Codol, Jeffrey Weiler, et al.. (2025). Sensory expectations shape neural population dynamics in motor circuits. Nature. 648(8094). 668–677. 1 indexed citations
4.
Agudelo-Toro, Andres, et al.. (2024). Accurate neural control of a hand prosthesis by posture-related activity in the primate grasping circuit. Neuron. 112(24). 4115–4129.e8. 3 indexed citations
6.
Michaels, Jonathan A., Stefan Schaffelhofer, Andres Agudelo-Toro, & Hansjörg Scherberger. (2020). A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping. Proceedings of the National Academy of Sciences. 117(50). 32124–32135. 49 indexed citations
7.
Michaels, Jonathan A., et al.. (2018). Neural Dynamics of Variable Grasp-Movement Preparation in the Macaque Frontoparietal Network. Journal of Neuroscience. 38(25). 5759–5773. 18 indexed citations
8.
Dann, Benjamin, et al.. (2018). Neural coding of intended and executed grasp force in macaque areas AIP, F5, and M1. Scientific Reports. 8(1). 17985–17985. 14 indexed citations
9.
Michaels, Jonathan A. & Hansjörg Scherberger. (2018). Population coding of grasp and laterality-related information in the macaque fronto-parietal network. Scientific Reports. 8(1). 1710–1710. 27 indexed citations
10.
Dann, Benjamin, Jonathan A. Michaels, Stefan Schaffelhofer, & Hansjörg Scherberger. (2016). Uniting functional network topology and oscillations in the fronto-parietal single unit network of behaving primates. eLife. 5. 46 indexed citations
11.
Michaels, Jonathan A., Benjamin Dann, & Hansjörg Scherberger. (2016). Neural Population Dynamics during Reaching Are Better Explained by a Dynamical System than Representational Tuning. PLoS Computational Biology. 12(11). e1005175–e1005175. 101 indexed citations
12.
Michaels, Jonathan A. & Hansjörg Scherberger. (2016). hebbRNN: A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks. The Journal of Open Source Software. 1(5). 60–60. 2 indexed citations
13.
Michaels, Jonathan A., et al.. (2015). Predicting Reaction Time from the Neural State Space of the Premotor and Parietal Grasping Network. Journal of Neuroscience. 35(32). 11415–11432. 44 indexed citations
14.
Yang, Lu, Jonathan A. Michaels, J. Andrew Pruszynski, & Stephen H. Scott. (2011). Rapid motor responses quickly integrate visuospatial task constraints. Experimental Brain Research. 211(2). 231–242. 39 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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2026