Mikhail Lebedev

13.1k total citations · 3 hit papers
154 papers, 8.4k citations indexed

About

Mikhail Lebedev is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Mikhail Lebedev has authored 154 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Cognitive Neuroscience, 73 papers in Cellular and Molecular Neuroscience and 40 papers in Biomedical Engineering. Recurrent topics in Mikhail Lebedev's work include EEG and Brain-Computer Interfaces (101 papers), Neuroscience and Neural Engineering (67 papers) and Neural dynamics and brain function (60 papers). Mikhail Lebedev is often cited by papers focused on EEG and Brain-Computer Interfaces (101 papers), Neuroscience and Neural Engineering (67 papers) and Neural dynamics and brain function (60 papers). Mikhail Lebedev collaborates with scholars based in United States, Russia and Switzerland. Mikhail Lebedev's co-authors include Miguel A. L. Nicolelis, Joseph E. O’Doherty, Jose M. Carmena, Craig S. Henriquez, Dragan F. Dimitrov, Parag G. Patil, Roy E. Crist, Peter J. Ifft, Steven P. Wise and Solaiman Shokur and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Mikhail Lebedev

139 papers receiving 8.1k citations

Hit Papers

Learning to Control a Brain–Machine Interface for Reachin... 2003 2026 2010 2018 2003 2006 2017 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mikhail Lebedev United States 42 7.2k 5.0k 1.7k 1.5k 499 154 8.4k
Nicholas G. Hatsopoulos United States 45 6.0k 0.8× 3.6k 0.7× 1.4k 0.8× 895 0.6× 141 0.3× 113 7.1k
Leigh R. Hochberg United States 46 9.7k 1.3× 7.5k 1.5× 2.7k 1.6× 2.5k 1.7× 868 1.7× 134 11.9k
Kai J. Miller United States 45 7.6k 1.1× 4.1k 0.8× 1.1k 0.6× 1.0k 0.7× 493 1.0× 186 9.1k
Jose M. Carmena United States 48 6.5k 0.9× 5.7k 1.2× 2.9k 1.7× 2.5k 1.7× 288 0.6× 144 9.2k
Andrew B. Schwartz United States 42 11.3k 1.6× 7.3k 1.5× 3.4k 2.0× 2.0k 1.4× 585 1.2× 93 12.8k
Carsten Mehring Germany 29 3.9k 0.5× 2.1k 0.4× 933 0.6× 778 0.5× 408 0.8× 54 4.4k
Lee E. Miller United States 45 4.8k 0.7× 2.7k 0.5× 1.9k 1.1× 639 0.4× 111 0.2× 158 5.9k
Krishna V. Shenoy United States 68 14.5k 2.0× 8.1k 1.6× 3.0k 1.8× 3.2k 2.2× 512 1.0× 207 16.6k
Nathan E. Crone United States 47 8.5k 1.2× 2.7k 0.6× 590 0.3× 579 0.4× 194 0.4× 181 9.9k
Byron M. Yu United States 35 5.1k 0.7× 2.6k 0.5× 789 0.5× 757 0.5× 131 0.3× 83 5.5k

Countries citing papers authored by Mikhail Lebedev

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Lebedev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Lebedev

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

All Works

20 of 20 papers shown
1.
Lebedev, Mikhail, et al.. (2024). Resting-state EEG recorded with gel-based vs. consumer dry electrodes: spectral characteristics and across-device correlations. Frontiers in Neuroscience. 18. 1326139–1326139. 4 indexed citations
2.
Matvienko, Yu. G., et al.. (2024). Restoration of natural somatic sensations to the amputees: finding the right combination of neurostimulation methods. Frontiers in Neuroscience. 18. 1466684–1466684.
3.
Petrova, Daria, et al.. (2024). Event-related desynchronization of eeg sensorimotor rhythms in hemiparesis post-stroke patients. Российский физиологический журнал им  И  М  Сеченова. 110(10). 1683–1700.
6.
Lebedev, Mikhail, et al.. (2023). An experimental paradigm for studying EEG correlates of olfactory discrimination. Frontiers in Human Neuroscience. 17. 1117801–1117801. 8 indexed citations
7.
Matvienko, Yu. G., et al.. (2023). Modulations in high-density EEG during the suppression of phantom-limb pain with neurostimulation in upper limb amputees. Cerebral Cortex. 34(2). 2 indexed citations
8.
Lebedev, Mikhail, et al.. (2023). Event-Related Desynchronization Induced by Tactile Imagery: an EEG Study. eNeuro. 10(6). ENEURO.0455–22.2023. 17 indexed citations
9.
Swan, Melanie, et al.. (2021). Quantum Computing for the Brain. 5 indexed citations
10.
O’Doherty, Joseph E., et al.. (2019). Creating a neuroprosthesis for active tactile exploration of textures. Proceedings of the National Academy of Sciences. 116(43). 21821–21827. 17 indexed citations
11.
Krucoff, Max, Katie Zhuang, David B. MacLeod, et al.. (2017). A novel paraplegia model in awake behaving macaques. Journal of Neurophysiology. 118(3). 1800–1808. 6 indexed citations
12.
Zhuang, Katie, Jérémy Olivier, Mikhail Lebedev, et al.. (2017). EXiO—A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(2). 131–141. 31 indexed citations
13.
Tseng, Po-He, et al.. (2016). Wireless Cortical Brain-Machine Interface for Whole-Body Navigation in Primates. Scientific Reports. 6(1). 22170–22170. 56 indexed citations
14.
Okorokova, Elizaveta V., Mikhail Lebedev, Michael D. Linderman, & Alexei Ossadtchi. (2015). A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings. Frontiers in Neuroscience. 9. 389–389. 13 indexed citations
15.
Hanson, Timothy, Andrew M. Fuller, Mikhail Lebedev, Dennis A. Turner, & Miguel A. L. Nicolelis. (2012). Subcortical Neuronal Ensembles: An Analysis of Motor Task Association, Tremor, Oscillations, and Synchrony in Human Patients. Journal of Neuroscience. 32(25). 8620–8632. 32 indexed citations
16.
Lebedev, Mikhail & Miguel A. L. Nicolelis. (2011). Toward a whole-body neuroprosthetic. Progress in brain research. 194. 47–60. 29 indexed citations
17.
Fitzsimmons, Nathan, et al.. (2007). Primate Reaching Cued by Multichannel Spatiotemporal Cortical Microstimulation. Journal of Neuroscience. 27(21). 5593–5602. 115 indexed citations
18.
Carmena, Jose M., Mikhail Lebedev, Craig S. Henriquez, & Miguel A. L. Nicolelis. (2005). Stable Ensemble Performance with Single-Neuron Variability during Reaching Movements in Primates. Journal of Neuroscience. 25(46). 10712–10716. 115 indexed citations
19.
Lebedev, Mikhail, Jose M. Carmena, Joseph E. O’Doherty, et al.. (2005). Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator Controlled by a Brain-Machine Interface. Journal of Neuroscience. 25(19). 4681–4693. 209 indexed citations
20.
Sanchez, Justin C., Jose M. Carmena, Mikhail Lebedev, et al.. (2004). Ascertaining the Importance of Neurons to Develop Better Brain-Machine Interfaces. IEEE Transactions on Biomedical Engineering. 51(6). 943–953. 81 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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