Pavel Bobrov

733 total citations
41 papers, 467 citations indexed

About

Pavel Bobrov is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Pavel Bobrov has authored 41 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 12 papers in Biomedical Engineering and 9 papers in Rehabilitation. Recurrent topics in Pavel Bobrov's work include EEG and Brain-Computer Interfaces (34 papers), Muscle activation and electromyography studies (11 papers) and Stroke Rehabilitation and Recovery (9 papers). Pavel Bobrov is often cited by papers focused on EEG and Brain-Computer Interfaces (34 papers), Muscle activation and electromyography studies (11 papers) and Stroke Rehabilitation and Recovery (9 papers). Pavel Bobrov collaborates with scholars based in Russia, Czechia and United States. Pavel Bobrov's co-authors include Alexander Frolov, О. А. Мокиенко, Л. А. Черникова, Irina Fedulova, Charles R. Cantor, Alex Zhavoronkov, Dušan Húsek, Е. V. Biryukova, М. А. Пирадов and A. V. Chervyakov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Pavel Bobrov

36 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavel Bobrov Russia 13 407 129 118 111 54 41 467
О. А. Мокиенко Russia 13 480 1.2× 204 1.6× 213 1.8× 155 1.4× 66 1.2× 40 617
Gangadhar Garipelli Switzerland 8 430 1.1× 195 1.5× 161 1.4× 168 1.5× 51 0.9× 16 606
Ravikiran Mane Singapore 10 465 1.1× 200 1.6× 114 1.0× 85 0.8× 57 1.1× 12 595
Mathias Vukelić Germany 9 325 0.8× 148 1.1× 119 1.0× 77 0.7× 74 1.4× 29 406
Alkinoos Athanasiou Greece 11 253 0.6× 89 0.7× 79 0.7× 63 0.6× 16 0.3× 35 413
Jessica Cantillo-Negrete Mexico 10 268 0.7× 152 1.2× 117 1.0× 80 0.7× 39 0.7× 37 381
Friederike U. Hohlefeld Germany 13 561 1.4× 197 1.5× 104 0.9× 42 0.4× 47 0.9× 19 647
Maria Adelia Aratanha Brazil 5 238 0.6× 105 0.8× 125 1.1× 86 0.8× 15 0.3× 8 369
Ruben I. Carino-Escobar Mexico 9 258 0.6× 146 1.1× 93 0.8× 76 0.7× 39 0.7× 31 320
Zachary A. Wright United States 8 465 1.1× 277 2.1× 165 1.4× 62 0.6× 23 0.4× 18 537

Countries citing papers authored by Pavel Bobrov

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Bobrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Bobrov

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Bobrov. A scholar is included among the top collaborators of Pavel Bobrov 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 Pavel Bobrov. Pavel Bobrov 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.
Мокиенко, О. А., et al.. (2024). A multiple session dataset of NIRS recordings from stroke patients controlling brain–computer interface. Scientific Data. 11(1). 1168–1168. 3 indexed citations
2.
Мокиенко, О. А., et al.. (2024). Brain-computer interfaces based on near-infrared spectroscopy and electroencephalography registration in post-stroke rehabilitation: a comparative study. Neurology neuropsychiatry Psychosomatics. 16(5). 17–23.
3.
Lyukmanov, R. Kh., et al.. (2024). Brain–Computer Interface Using Functional Near-Infrared Spectroscopy for Post-Stroke Motor Rehabilitation: Case Series. SHILAP Revista de lepidopterología. 17(4). 82–88. 4 indexed citations
4.
Bobrov, Pavel, et al.. (2024). Dynamics of EEG synchronization and desynchronization when performing real and imagined hand reaching. Журнал высшей нервной деятельности им И П Павлова. 74(2). 210–222.
5.
Biryukova, Е. V., et al.. (2023). Non-Paretic Arm Motor Deficit and Recovery as a Function of Damage Lateralization after Stroke: Biomechanical Study. Физиология человека. 49(1). 64–78.
6.
Bobrov, Pavel, et al.. (2023). Effects of Selection of the Learning Set Formation Strategy and Filtration Method on the Effectiveness of a BCI Based on Near Infrared Spectrometry. Neuroscience and Behavioral Physiology. 53(3). 373–380. 2 indexed citations
7.
Bobrov, Pavel, et al.. (2023). An inclusive paradigm to study mu-rhythm properties. International Journal of Psychophysiology. 190. 42–55. 2 indexed citations
8.
Мокиенко, О. А., R. Kh. Lyukmanov, Pavel Bobrov, Н. А. Супонева, & М. А. Пирадов. (2023). Brain–Computer Interfaces for Upper Limb Motor Recovery after Stroke: Current Status and Development Prospects (Review). Sovremennye tehnologii v medicine. 15(6). 63–63. 3 indexed citations
9.
Bobrov, Pavel, et al.. (2022). EEG denoising using wavelet packet decomposition and independent component analysis. 68–70. 1 indexed citations
10.
Вершинина, Е. А., et al.. (2021). Success of Hand Movement Imagination Depends on Personality Traits, Brain Asymmetry, and Degree of Handedness. Brain Sciences. 11(7). 853–853. 7 indexed citations
11.
Bobrov, Pavel, et al.. (2021). Corticomuscular Interactions in Real and Imaginary Arm Movements. Neuroscience and Behavioral Physiology. 51(6). 724–733. 1 indexed citations
12.
13.
Biryukova, Elena V., et al.. (2018). Biomechanical Assessment of Fugl-Meyer Score: The Case of One Post Stroke Patient Who has Undergone the Rehabilitation using Hand Exoskeleton Controlled by Brain-Computer Interface. International Journal of Physical Medicine & Rehabilitation. 6(3). 7 indexed citations
14.
Frolov, Alexander, et al.. (2018). Electrical, Hemodynamic, and Motor Activity in BCI Post-stroke Rehabilitation: Clinical Case Study. Frontiers in Neurology. 9. 1135–1135. 13 indexed citations
15.
16.
Котов, С. В., et al.. (2014). Rehabilitation of post stroke patients using a bioengineering system "brain-computer interface + exoskeleton". S S Korsakov Journal of Neurology and Psychiatry. 114(12. Vyp. 2). 66–66. 14 indexed citations
17.
18.
Frolov, Alexander, et al.. (2013). Principles of neurorehabilitation based on the brain-computer interface and biologically adequate control of the exoskeleton. Human Physiology. 39(2). 196–208. 30 indexed citations
19.
Frolov, Alexander, Dušan Húsek, & Pavel Bobrov. (2011). Brain-Computer Interface: Common Tensor Discriminant Analysis classifier evaluation. ASEP. 24. 614–620. 1 indexed citations
20.
Frolov, Alexander, Dušan Húsek, & Pavel Bobrov. (2011). COMPARISON OF FOUR CLASSIFICATION METHODS FOR BRAIN-COMPUTER INTERFACE. Neural Network World. 21(2). 101–116. 22 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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